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Data Mining Techniques to Prevent Credit Card Fraud
 
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Includes a brief introduction to credit card fraud, types of credit card fraud, how fraud is detected, applicable data mining techniques, as well as drawbacks.
Views: 12874 Ben Rodick
Technical Course: Fraud Analytics: A Case Study (Part 1)
 
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Case study on fraud analytics and fraud detection using SAS. Jigsaw Academy is an award winning premier online analytics training institute that aims to meet the growing demand for talent in the field of analytics by providing industry-relevant training to develop business-ready professionals.Jigsaw Academy has been acknowledged by blue chip companies for quality training Follow us on: https://www.facebook.com/jigsawacademy https://twitter.com/jigsawacademy http://jigsawacademy.com/
Views: 47033 Jigsaw Academy
Mini Lecture: Social Network Analysis for Fraud Detection
 
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In this mini lecture, Véronique Van Vlasselaer talks about how social networks can be leveraged to uncover fraud. Véronique is working in the DataMiningApps group led by Prof. dr. Bart Baesens at the KU Leuven (University of Leuven), Belgium.
Views: 14751 Bart Baesens
Preventing Fraud Waste and Abuse through Analytics - SAS Session 16: Big Data 2014 - A PSP Forum
 
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Preventing Fraud Waste and Abuse through Analytics - SAS Session 16: Big Data 2014 Speakers: Randy Silva, Chief Investigation & Special Operations, CA Board of Equalization & Carl Hammersburg, Government Fraud Specialist/SAS Institute Thumbnail: This video details some of the methods that criminals, external and internal, use in an attempt to defraud government programs and then discusses new efforts that are being employed to stop them. By changing policy and using modern Data Mining and Analytic tools, they are being discovered more rapidly and this saves the Government huge sums of tax payer dollars. This session was presented at the 2014 PSP Big Data Forum -- Managing Government Information Effectively. Extended Description: Traditional approaches (tips, hunches, outdated case files) to dealing with fraud, compliance and security risks aren't sufficient anymore. That's true for all levels of government. Fraud and improper payments continues to be a major issue affecting the fiscal condition of state programs. Fraud and abuse perpetrators and their schemes are constantly evolving and becoming increasingly more sophisticated. Traditional "pay-and-chase" controls are no longer sufficient to address today's complex program integrity challenges. In order to effectively combat fraud and abuse, agencies need to take a holistic approach that focuses on both detection and prevention. In this session, presenters, including Randy Silva, Chief Investigation & Special Operations, from the California Board of Equalization, address challenges, trends and successes from within California as well as looking at a broader perspective from outside the state. Sharing data is critical for the broader perspective and maximum protection, but also a legal and technical hot button. Learn how laws and practices are trending and how analytics are utilized to provide automated and continuous views of risk that can leverage strapped resources and save tens to hundreds of millions of dollars. This video was filmed at the Jan 22, 2014 Big Data-Managing Government Effectively: A Public Sector Partners Education Forum. If you would like information on any future PSP Forums, please visit our event site at www.pspinfo.us Contact Information: Russ Hicks, President Public Sector Partners, Inc. [email protected]
Opening Session: SAS Fraud & Security Solution Overview/Demo
 
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Stu Bradley Fraud & Security Presentation from SAS Global Forum 2014 Opening Session
Views: 5689 SAS Software
SAS Detection and Investigation for Insurance
 
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http://www.sas.com/claimsfraud Insurers face challenges globally in detecting fraud. SAS helps identify claims fraud with analytics and machine learning resulting in large savings for insurance companies. LEARN MORE ABOUT INSURANCE CLAIM FRAUD http://www.sas.com/claimsfraud SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 1786 SAS Software
Improving Fraud Detection Techniques Using Social Network Analytics
 
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Bart Baesens and Véronique Van Vlasselaer of KU Leuven talk to Inside Analytics host Maggie Miller about using social network algorithms to stay ahead of fraudsters. For more information about the Analytics 2014 conference, visit http://www.sas.com/events/analytics/europe/
Views: 2622 SAS Software
LDSS 2017 - Building a Real-time Banking Fraud Detection System - Dr Karthik Tadinada, Featurespace
 
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If you enjoyed this talk join us at our next event, https://cambridgespark.com/datascience-summit or sign up for regular updates, https://bit.ly/2rA5VRc
Views: 1891 Cambridge Spark
Credit Card Fraud Detection: Why Theory Doesn't Adjust to Practice
 
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Credit Card Fraud Detection: Why Theory Doesn't Adjust to Practice SAS Analytics Conference, June 2, 2013, London, UK slides: http://www.slideshare.net/albahnsen/correa-bahnsen-alejandroanalytics2013slideshare
Trusted Fraud Protection with SAS
 
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http://www.sas.com/fraudsolutions As today’s fraudsters work smarter and faster, you need a trusted partner to protect your business. As an industry leader in advanced analytics, SAS delivers proactive fraud protection through artificial intelligence and machine learning to power more effective and efficient fraud detection programs. LEARN MORE ABOUT SAS FRAUD SOLUTIONS Combat Crime. Protect Customers. Preserve Program Integrity. Learn more about how SAS can safeguard your organization. http://www.sas.com/fraudsolutions SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 1326 SAS Software
Real-time fraud prevention in a real-time world
 
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The nature of payments fraud requires real-time solutions designed to detect and prevent fraud before it happens. Learn what is required to thwart fraud and how UP Payments Risk Management solutions can put you in control of managing risk. Learn more: www.aciworldwide/paymentsrisk Commerce and banking channels are multiplying and providing consumers more ways to transact than ever before. From physical channels, like credit, debit and pre-paid cards; checks; ATMs and point-of-sale terminals; to digital channels like ACH, wire, internet, telephone, mobile devices and crypto-currencies. Consumers, businesses, merchants and financial institutions all benefit from anytime, anywhere commerce…but…there’s a dark side. Sophisticated fraud threats are multiplying even faster: malware and Trojans; account takeover and identity theft; credit abuse and bust-out scams; ACH and wire fraud; data breaches; money laundering and employee fraud. In fact, a single data breach can compromise tens of millions of account holders in a matter of seconds.
Views: 34043 ACI Worldwide
Detecting Fraud & Anti-Money Laundering (AML) Violations In Real-Time
 
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Fraudsters and money launderers are more adept than ever at escaping the detection of traditional fraud and AML solutions. Over the past 12 months, 63% of businesses have experienced the same or more fraud losses compared to the previous period (2018 Global Fraud and Identity Report, Experian). Ecommerce businesses are incurring high losses with credit card chargeback fraud alone. Telecom providers are struggling daily to sift through calls to find phone scam criminals. The banking industry is suffering hundreds of billions of dollars in costs thanks to new, complex AML compliance requirements. Relational database and earlier generations of graph database vendors such as Neo4j and DataStax have struggled to provide a real-time solution due to the size and intricacy of the problem. Real-time deep link analytics powered by a highly scalable graph database is addressing these challenges for some of the largest corporations in the world including Alipay, Visa, Uber, China Mobile and SoftBank. Join us as we discuss how to: - Minimize fraud with faster detection using deep link analytics - Modernize your AML process with case studies across multiple industries - Get fewer false positives in your fraud detection workflow Speakers: Victor Lee, Director Product Management, TigerGraph Gaurav Deshpande, VP Marketing, TigerGraph
Views: 1313 TigerGraph
Data Mining Techniques to Prevent Credit Card Fraud
 
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Includes a brief introduction to credit card fraud, types of credit card fraud, how fraud is detected, applicable data mining techniques, as well as drawbacks. CANATICS is a not-for-profit organization created by the auto insurance industry to help fight organized insurance crime. This video tells a story about how we . Data mining algorithms are focused on finding frequently occurring patterns in historical data. These techniques are useful in many domains, but for fraud .
Views: 30 babyw0lfff
Bank Fraud Prevention & Detection - The Case for Data Analytics
 
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Join BKD for an informative session exploring data analytics and how it can be used to detect some of the most common fraud schemes affecting banks and other financial institutions. Interested in becoming a BKD Client? Contact a #TrustedAdvisor here: https://bit.ly/2zsU6jO Find us online! Twitter: https://bit.ly/2QY6rTV LinkedIn: https://bit.ly/2DwGGYp Facebook: https://bit.ly/2Igq2e3 Glassdoor: https://bit.ly/2QVdzR0
Views: 14179 BKD CPAs & Advisors
Credit Card Fraud Detection
 
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Get the project at http://nevonprojects.com/credit-card-fraud-detection-project/ The credit card fraud detection features uses user behavior and location scanning to check for unusual patterns.
Views: 22515 Nevon Projects
Predictive Analytics in Insurance
 
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If you have questions or comments on the contents of this video, please email us at [email protected] There has been considerable change in the relationships between customers and companies. Customers are in control of the relationships with their vendors and are not afraid to switch to a new provider if they do not feel they are receiving the service they deserve. Companies now have the ability to know their customers and market to them on a personalized basis using data mining and predictive analytics technologies. Predictive Analytics unlock insights that enable companies to add new customers and grow their existing business by improving their understanding of what their customers want. It uncovers hidden insights in customer data to create more personalized customer experiences that win more business while reducing costs and increasing customer loyalty. Predictive Analytics enable the very sharpest competitive edge. They deliver powerful, unique, qualitative differentiation by providing your enterprise a proprietary source of business intelligence with which to compete in Operations, Customer or Threat & Fraud applications in your organization. A predictive model generated from your data taps into experience to which only your company is privy, since it is unique to your prospect list and to the product and marketing message to which your customers respond (both positively and negatively). Therefore, the model's intelligence and insights are outside the reaches of common knowledge, and the top prospects it flags compose a customized, proprietary contact list. View this informative webinar to learn more about how Predictive Analytics are making a difference in the insurance industry through focused target marketing, and more efficient fraudulent claim detection. We discuss a detailed use-case for a real-world insurance company examining how specific customer attributes were used as indicators for fraud prediction.
Views: 12688 LPA Software Solutions
Natalie Hockham: Machine learning with imbalanced data sets
 
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Classification algorithms tend to perform poorly when data is skewed towards one class, as is often the case when tackling real-world problems such as fraud detection or medical diagnosis. A range of methods exist for addressing this problem, including re-sampling, one-class learning and cost-sensitive learning. This talk looks at these different approaches in the context of fraud detection. Full details — http://london.pydata.org/schedule/presentation/40/
Views: 18915 PyData
QLM Tutorial - Fraud Detection
 
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Quick License Manager Tutorial - Fraud Detection
Views: 756 Soraco Technologies
Condition Monitoring and Anomaly Detection Using Support Vector Data Description (SVDD)
 
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Deovrat Kakde introduces the topic of condition monitoring using an example of oil changes. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 1561 SAS Software
Getting Started with SAS Enterprise Miner: Exploring Input Data and Replacing Missing Values
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the second in a series of six Getting Started with SAS Enterprise Miner 13.2 videos. This second video focuses on exploring input data and replacing missing values in SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 32738 SAS Software
Getting Started with SAS Enterprise Miner: Scoring New Data
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the sixth in a series of six "Getting Started with SAS Enterprise Miner 13.2" videos. This sixth video demonstrates scoring new data with SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 22838 SAS Software
AI-Powered Enterprise Fraud Detection
 
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Fraud.net - the leading provider of customized AI-powered risk intelligence and fraud prevention solutions.
Views: 19924 R. Whitney Anderson
SAS Enterprise Miner: Impute, Transform, Regression & Neural Models
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the fourth in a series of six "Getting Started with SAS Enterprise Miner 13.2" videos. This fourth video demonstrates imputing and transforming data, building a neural network, and building a regression model with SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 42707 SAS Software
Making Predictions with Data and Python : Predicting Credit Card Default | packtpub.com
 
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This playlist/video has been uploaded for Marketing purposes and contains only selective videos. For the entire video course and code, visit [http://bit.ly/2eZbdPP]. Demonstrate how to build, evaluate and compare different classification models for predicting credit card default and use the best model to make predictions. • Introduce, load and prepare data for modeling • Show how to build different classification models • Show how to evaluate models and use the best to make predictions For the latest Big Data and Business Intelligence video tutorials, please visit http://bit.ly/1HCjJik Find us on Facebook -- http://www.facebook.com/Packtvideo Follow us on Twitter - http://www.twitter.com/packtvideo
Views: 24644 Packt Video
Getting Started with SAS Enterprise Miner: Building Decision Trees
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the third in a series of six "Getting Started with SAS Enterprise Miner 13.2" videos. This third video demonstrates building decision trees in SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 53886 SAS Software
Fraud Detection
 
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Views: 4466 IBM Redbooks
Getting Started with SAS Enterprise Miner: Comparing Models
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the fifth in a series of six "Getting Started with SAS Enterprise Miner 13.2" videos. This fifth video focuses on comparing models with SAS Enterprise Miner. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 18941 SAS Software
System z Integrating Transaction and Analytics for Fraud Detection - Extended
 
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Most businesses today are looking to integrate analytics directly into business processes, but many are inhibited by the inability of the underlying technology to deliver a seamless flow of data between the transactional and analytics components. In this demonstration, we detail a set of three related cases of a banking scenario that shows how System z can optimally integrate transactions and analytics.
Views: 1045 IBM Redbooks
Random Forest and Support Vector Machines Getting the Most from Your Classifiers
 
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http://communities.sas.com/data-mining Brett Wujek talks about tuning random forest and support vector machine algorithms to train high quality models. JOIN THE SAS DATA MINING COMMUNITY SAS Support Communities help users: Ask, Find and Share SAS knowledge. Join the SAS Data Mining Community today! http://communities.sas.com/data-mining SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 14821 SAS Software
Getting Started with SAS Enterprise Miner: Setting Up an Enterprise Miner Project
 
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http://support.sas.com/software/products/miner/index.html Chip Robie of SAS presents the first in a series of six "Getting Started with SAS Enterprise Miner 13.2" videos. This first video demonstrates how to set up an Enterprise Miner project. For more information regarding SAS Enterprise Miner, please visit http://support.sas.com/software/products/miner/index.html SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 84295 SAS Software
How to Execute a Python Script in SAS Enterprise Miner
 
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http://support.sas.com/software/products/miner/index.html Ruiwen Zhang presents a new and effective method to execute Python Scripts in SAS Enterprise Miner. SAS ENTERPRISE MINER SAS Enterprise Miner streamlines the data mining process so you can create accurate predictive and descriptive analytical models using vast amounts of data. Our customers use this software to detect fraud, minimize risk, anticipate resource demands, reduce asset downtime, increase response rates for marketing campaigns and curb customer attrition. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 3436 SAS Software
Enhanced AML fraud detection solutions with Azure Machine Learning - Ravi Kanth
 
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AML (Anti-Money Laundering) solutions typically tend to be rule engine driven and involve significant manual follow-up activities. Using a Machine Learning approach, AML solutions can be enhanced to reduce false positives, as well as to better prioritize the items flagged for manual follow-up. This one-hour session will be structured as below: First, we will briefly discuss the AML domain and the typical AML detection workflow. Secondly, we will have an in-depth look into how Machine Learning algorithms can help with enhancing the AML solutions through better detection and better prioritization of detected fraud activity items. Thirdly, we will look at how this can be implemented with Azure Machine Learning to achieve qualitative as well as quantitative enhancement objectives. Finally, we will briefly look at the applicability of the Machine Learning approach to other areas within Financial Services domain like Insurance Claims Fraud Detection, etc. NDC Conferences https://ndc-london.com https://ndcconferences.com
Views: 5880 NDC Conferences
Data Mining - Churn Analysis
 
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Data Mining Final Project: Churn analysis on a mobile company churn data set
Views: 2538 Ayame Shiba
Digital Fraud is a Growing Problem...  SAS Can Help
 
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http://www.sas.com/en_us/industry/banking/fraud-management.html Online attacks are more sophisticated. More transactions are done on mobile devices. Challenges are increasing. SAS provides a holistic view of your data to help fight fraud. http://www.sas.com/en_us/industry/banking/fraud-management.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 1044 SAS Software
Medical Insurance Fraud Control
 
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Anomaly detection in medical insurance claims. Machine learning algorithm to detect fraud or unusual behavior inside medical insurance data.
Views: 224 DataCave Solutions
Stop Insurance Fraud with IBM Financial Crime Insight for Insurance
 
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Deliver a holistic approach to counter-fraud Insurance operations by combining detection and investigation processes with cognitive analytic's to lower fraud losses and operational costs, improve business results, and support a superior customer experience. Visit us: http://ibm.biz/insurance-cognitive-era About IBM Insurance: ► Visit the IBM Insurance website: http://www.ibm.com/insurance/ ► Follow IBM Insurance on Twitter: https://twitter.com/IBMFinTech ► Join IBM Financial Services on LinkedIn: https://www.linkedin.com/groups/19467... ► Subscribe to our channel: http://ibm.biz/IBMInsuranceSubscribe ► Read our blog: http://ibm.biz/IBMInsuranceBlog
Views: 531 IBM FinTech
Credit Card Default - Data Mining
 
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A data mining project as part of requirements for Applied Data Mining at Rockhurst University. This presentation explores the mining of data utilizing R programming. Methods used are Decision Tree and Linear Regression models to predict the outcome of whether a customer will default on their next monthly credit card payment.
Views: 2061 Jonathan Walker
DataStax | Adversarial Modeling for Identity Fraud (Rob Murphy) | Cassandra Summit 2016
 
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Slides: https://www.slideshare.net/DataStax/datastax-adversarial-modeling-graph-ml-and-analytics-for-identity-fraud-rob-murphy-cassandra-summit-2016 | Abstract from paper: Identity theft and the resulting creation of synthetic identities for the purpose of committing fraud, pose a growing challenge to governments and businesses across the globe. This paper describes specific research and conclusions into existing fraud detection data and supporting systems. It describes a novel, ecosystem and process based approach, Adversarial Modeling to combat what must be recognized as a complex, dynamic struggle against organized and efficient adversaries. Adversarial Modeling is a technology and process ecosystem based on distributed computing, graph theory, data mining and machine learning in a focused, purpose-designed Agile derived methodology. About the Speaker Rob Murphy
Views: 226 DataStax
Real-time Creditcard fraud detection using Apache Spark
 
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VM Demo 5 Start all Servers Complete Project Discount link : https://www.udemy.com/real-time-creditcard-fraud-detection-using-spark/?couponCode=DIS640
Views: 327 pramod narayana
Full analytical life cycle with SAS Viya
 
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By Theodor B. Gosden: One platform for Data, Discovery and Deployment, Open platform = API’s for everything, A modern user interface, Easy integration with Open Source, Great governance of models, Faster calculations with in-memory SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 1102 SAS Software
Details of Anomaly Detection in Big Data, Nikunj Oza, 20140728
 
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Nikunj Oza, Leader of the Data Sciences Group, NASA Ames Research Center Joint Event with Hadoop Talks Meetup Data-driven methods for anomaly detection identifies as anomalies those data points that do not fit with most of the data in some sense. For example, the anomalies may have greater distances to their nearest neighbors or lower probabilities with respect to an appropriate probability model. However, measuring distances between points or probabilities of points is problematic when working with "big data," with their heterogeneity and volume. In this talk, I will describe the problem in more detail, the heterogeneous data sources available to us, the methods we use to leverage these data sources, and the general data management and data mining problems that we need to solve moving forward. Speaker Bio Nikunj Oza is the leader of the Data Sciences Group at NASA Ames Research Center. He also leads the Discovery of Precursors to Safety Incidents (DPSI) team which applies data mining to aviation safety. Dr. Oza’s 40+ research papers represent his research interests which include data mining, machine learning, anomaly detection, and their applications to Aeronautics and Earth Science. He received the Arch T. Colwell Award for co-authoring one of the five most innovative technical papers selected from 3300+ SAE technical papers in 2005. His DPSI team received the 2010 NASA Aeronautics Research Mission Directorate Associate Administrator’s Award for best technology achievements by a team. He received his B.S. in Mathematics with Computer Science from MIT in 1994, and M.S. (in 1998) and Ph.D. (in 2001) in Computer Science from the University of California at Berkeley. http://www.meetup.com/SF-Bay-ACM/events/183069232/ http://www.sfbayacm.org/event/hadoop-talk-details-anomaly-detection-big-data
Views: 1429 San Francisco Bay ACM
Advanced Screening and Fraud Detection for Financial Services
 
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NTT DATA will discuss their credit card merchant screening solution, as well as the internet banking fraud detection solution they are developing. Both types of solutions involve ingestion of various forms of data, including customer onboarding, social media, and open source intelligence. In this session, NTT DATA will describe how they were able to apply both rules-based logic, as well as statistical analysis in order to automate detection of fraudulent activity by leveraging MarkLogic's flexibilty, scalability, and acid transactions in order to apply the sophisticated entity enrichment algorithms developed by NTT DATA.
Views: 938 MarkLogic