Videos like this “Mining Structured and Unstructured Data”
Oracle's Machine Learning & Advanced Analytics 12.2 & Oracle Data Miner 4.2 New Features
Oracle's Machine Learning and Advanced Analytics 12.2 and Oracle Data Miner 4.2 New Features. This presentation highlights the new machine learning algorithms, features, functions and "differentiators" added to Oracle Database Release 12.2 and Oracle SQL Developer4.2. These features and functioned are "packaged" as part of the Oracle Advanced Analytics Database Option and Oracle Data Miner workflow UI on-premise and in the Oracle Database Cloud Service High and Extreme Editions. I hope you enjoy the video! Charlie Berger [email protected]
Views: 7340 Charlie Berger
Big Data Opportunity: Structured vs. Unstructured Data
http://www.patrickschwerdtfeger.com/sbi/ Where's the opportunity in Big Data? Is it with structured data or unstructured data? Experts estimate that over 95% of the data in the world today is unstructured and only 5% is structured, so there's definitely a lot MORE unstructured data to be mined. The case histories so far suggest that the biggest opportunities lie in the messy unstructured data; the data the INCLUDES the outliers rather than marginalize them. The outliers add the most interesting insights to the process and allow the algorithms to calculate probabilities using the entire sample size, rather than relying on sampling inferences based on a small subset of the population. So research your unstructured data. Look at all those machine logs and metadata and see what insights you might be able to glean. Those are the building blocks for predictive analytics and algorithms that value.
Views: 13953 Patrick Schwerdtfeger
Overview presentation and demonstration of Oracle Advanced Analytics Option
Overview presentation & demonstration of Oracle Advanced Analytics Option.
Views: 7784 Charles Berger
Structured vs Unstructured
This video covers the difference between structured and unstructured data.
Views: 35938 Robert Primmer
Oracle data mining tutorial, data mining techniques: classification
What is data mining? The Oracle Data Miner tutorial presents data mining introduction. Learn data mining techniques. More lessons, visit http://www.learn-with-video-tutorials.com/oracle-data-mining-tutorial-video
DBMS Indexing: The Basic Concept
A quick introduction to the concept of indexing in RDBMSs
Views: 150427 Brian Finnegan
Tips and Tricks for Graph Data Modeling
As the only NoSQL database category that prioritizes relationships, graph databases provide all the flexibility of a NoSQL database with optimized performance for connected data. Ian Robinson, Lead Engineer for Neo4j, walks you through how to model your data as a graph. He demonstrates how to avoid pitfalls early on and how to optimize your model for answering questions as Cypher queries.
Views: 15637 Neo4j
Applied Machine Learning for the IoT
Data Science Pop-up Seattle by Hank Roark, Data Scientist at H2O.ai The Internet of Things is about data, not things. Some forecasts that by 2018 the number of connect things will exceed the combined number of personal computers, smartphones, and tablets. Each ’thing’ can produce a tremendous stream of data from sensors and other sources. This presentation will discuss progress, examples, challenges, and opportunities with machine learning for the IoT. A short presentation will be done on some recent applications of ML (using H2O) to the domains of machine prognostics / health management (PHM) and agriculture.
Views: 2432 Domino Data Lab
Manage All Unstructured Data with SAS® Text Analytics
http://www.sas.com/en_us/software/analytics/text-miner.html Learn how text analytics can help you tap into the power of your unstructured data and provide more complete fact-based decisions. SAS TEXT MINER Get faster, deeper insight from unstructured data. Why limit yourself to analyzing legacy data? Our text mining software lets you easily analyze text data from the web, comment fields, books and other text sources. Discover new information, topics and term relationships that deepen your understanding. And add what you learn to your models to improve lift and performance. Benefits: * Improve model performance. * Add subject-matter expertise. * Automatically know more. * Determine what's hot and what's not. LEARN MORE ABOUT SAS TEXT MINER http://www.sas.com/en_us/software/analytics/text-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: 29307 SAS Software
Text Mining for Beginners
This is a brief introduction to text mining for beginners. Find out how text mining works and the difference between text mining and key word search, from the leader in natural language based text mining solutions. Learn more about NLP text mining in 90 seconds: https://www.youtube.com/watch?v=GdZWqYGrXww Learn more about NLP text mining for clinical risk monitoring https://www.youtube.com/watch?v=SCDaE4VRzIM
Views: 72929 Linguamatics
Demo: IBM Big Data and Analytics at work in Banking
Visit http://ibmbigdatahub.com for more industry demos. Banks face many challenges as they strive to return to pre-2008 profit margins including reduced interest rates, unstable financial markets, tighter regulations and lower performing assets. Fortunately, banks taking advantage of big data and analytics can generate new revenue streams. Watch this real-life example of how big data and analytics can improve the overall customer experience. To learn more about IBM Big Data, visit http://www.ibm.com/big-data/us/en/ To learn more about IBM Analytics, visit http://www.ibm.com/analytics/us/en/
Views: 90406 IBM Analytics
How NLP text mining works: find knowledge hidden in unstructured data
Connect with us: http://www.linguamatics.com/contact What use is big data if you can't find what you're looking for? Follow: @Linguamatics https://twitter.com/Linguamatics https://www.linkedin.com/company/linguamatics https://www.facebook.com/Linguamatics https://plus.google.com/+Linguamatics https://www.youtube.com/user/Linguamatics/videos In knowledge driven industries such as the life sciences and healthcare, finding the right information quickly from huge volumes of text is crucial in supporting the best business decisions. However, around 80% of available information exists as unstructured text, and conventional keyword searches only retrieve documents, which still have to be read. This is very time consuming, unreliable, and, when important decisions rest on it, costly. Linguamatics’ text mining solution, I2E, uses Natural Language Processing to identify and extract relevant knowledge at least 10 times faster than conventional search, often uncovering insights that would otherwise remain unknown. I2E analyses the meaning of the text using powerful linguistic algorithms, enabling you to ask open questions, find the relevant facts and identify valuable connections. Going beyond simple keywords, I2E can recognise concepts and the different ways the same thing can be expressed, increasing the recall of relevant information. I2E then presents high quality results as structured, actionable knowledge, enabling fast review and analysis, and providing dramatically improved speed to insight. Our market leading software is supported by highly qualified domain experts who work with our customers to ensure successful project outcomes. Text mining for beginners: https://www.youtube.com/watch?v=40QIW9Sr6Io
Views: 14372 Linguamatics
Information Literacy: Part 3 - Advanced Database Search Techniques | De Anza College
#DEANZACOLLEGE In this part, we demonstrate more advanced techniques so that you may search more effectively. De Anza College Library: https://www.deanza.edu/library/ -------------------------------------------------- DE ANZA COLLEGE • Always at or near the top statewide in community college transfers to the University of California, California State University, and private universities • A top transfer college to UC Berkeley, as well as to UC Davis and UC San Diego • Regularly featured for our success rates, including on CNN Money in both 2012 and 2013 • 67 degrees, 97 certificates and more than 1,700 courses • Unique attractions – California History Center, Cheeseman Environmental Studies Area, Euphrat Museum of Art, Fujitsu Planetarium and Visual & Performing Arts Center • Vibrant student life, with more than 70 clubs • 19 athletics teams Phone: (408) 864 - 5300 Web: https://www.deanza.edu/ Facebook: https://www.facebook.com/deanzacollege/ Twitter: https://twitter.com/deanza_college Instagram: https://www.instagram.com/deanzacollege/
Views: 4415 De Anza College
Structured vs Unstructured Data Architecture
How do highly structured data systems like Oracle and unstructured Big Data systems like Hadoop interact in a big data world? Hear Andrew Waitman, Pythian's CEO discuss big data emerging trends For more information on big data visit http://www.pythian.com/services/big-data/
Views: 5816 Pythian
Introduction to Data Mining  (1/3)
http://www.creativecommit.com. This video gives a brief demo of the various data mining techniques. The demo mainly uses Microsoft SQL server 2008, BIDS 2008 and Excel for data mining
Views: 149970 creativecommIT
In-database Machine Learning in 7 minutes
In 7 minutes you'll learn how to: 01:59 Create an Oracle Cloud trial 03:24 Provision a database with Machine Learning capacilities 04:38 Create a Machine Learning script with SQL and PL/SQL
Views: 124 Oracle Developers
Visualizing Unstructured Data with Tableau, Featuring Bill Inmon
How do you turn unstructured data into a visualization? Over 80% of the data in a corporation is textual, including emails, contracts, chat sessions, social media, account notes and much more. In this session, Bill Inmon--known as the Father of Data Warehousing--will discuss "textual disambiguation," a new approach for transforming unstructured data into a database that can be used in Tableau visualizations. Textual disambiguation leverages several advanced techniques to create a state-of-the-art method for leveraging and understanding an organization's unstructured data.
Views: 5091 Tableau Software
Parsing Unstructured Data Using Informatica - PDF to XML
This Video explains how to create a Data Processor transformation with a parser to transform a PDF document to a flat file target in XML format. We create a Data Processor transformation, create and configure a Script with a parser, preview the example source, defined the parser, preview the Data Processor transformation, and then add the Data Processor transformation to a mapping. For more goto http://a2zinformatica.blogspot.com/2015/02/parsing-unstructured-data-using-data.html
Views: 20985 Informatica HowTo
Sampling: Simple Random, Convenience, systematic, cluster, stratified - Statistics Help
This video describes five common methods of sampling in data collection. Each has a helpful diagrammatic representation. You might like to read my blog: https://creativemaths.net/blog/
Views: 659460 Dr Nic's Maths and Stats
Advanced Capabilities of Visual Analyzer
This tutorial explores various visualization types along with the drill down and interplay of two visualizations. It also provides overview of insights and story navigator.
Views: 3247 Belltane LLC
In-Database Data Mining Using Oracle Advanced Analytics for Classificaton using Insurance Use Case
In-Database Data Mining Using Oracle Advanced Analytics Option for Classificaton using Insurance Use Case
Views: 4881 Charles Berger
Big Data on AWS – Structured, Unstructured Streaming
Big Data is everywhere these days. But what is it and how can you use it to fuel your business? Data is as important to organizations as labour and capital, and if organizations can effectively capture, analyze, visualize and apply big data insights to their business goals, they can differentiate themselves from their competitors and outperform them in terms of operational efficiency and the bottom line. Join this session to understand the different AWS Big Data and Analytics services such as Amazon Elastic MapReduce (Hadoop), Amazon Redshift (Data Warehouse) and Amazon Kinesis (Streaming), when to use them and how they work together. Reasons to attend: - Learn how AWS can help you process and make better use of your data with meaningful insights. - Learn about Amazon Elastic MapReduce and Amazon Redshift, fully managed petabyte-scale data warehouse solutions. - Learn about real time data processing with Amazon Kinesis.
Views: 2059 AWS Online Tech Talks
Understanding Document Stores as an Alternative to RDBMS for Unstructured and Big Data
While the hype surrounding "NoSQL" database technology has become deafening, there is real substance beneath the often exaggerated claims. NoSQL database technologies have emerged as a better match for the needs of modern interactive applications with cost-effective data management at "Big Data" scale. In this session we will specifically look at document databases and learn about: * The key characteristics of document-oriented databases * The differences between a distributed document-oriented and relational database * How the absence of a rigid database schema leads to more flexible applications * Why a NoSQL database may be the best fit for your requirements
Introduction to Data Mining: Data Cleaning
In this video we introduce Data Preprocessing, known as data cleaning, and the different strategies used to tackle it. -- At Data Science Dojo, we're extremely passionate about data science. Our in-person data science training has been attended by more than 3500+ employees from over 700 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Learn more about Data Science Dojo here: https://hubs.ly/H0f8M6d0 See what our past attendees are saying here: https://hubs.ly/H0f8Ln10 -- Like Us: https://www.facebook.com/datascienced... Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data... Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_scienc... -- Vimeo: https://vimeo.com/datasciencedojo
Views: 6256 Data Science Dojo
Basics of Data Mining
Views: 55755 Prabhudev Konana
Data Mining, Classification, Clustering, Association Rules, Regression, Deviation
Complete set of Video Lessons and Notes available only at http://www.studyyaar.com/index.php/module/20-data-warehousing-and-mining Data Mining, Classification, Clustering, Association Rules, Sequential Pattern Discovery, Regression, Deviation http://www.studyyaar.com/index.php/module-video/watch/53-data-mining
Views: 81371 StudyYaar.com
Predictive Analytics in Insurance
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: 10979 LPA Software Solutions
Oracle Forms and Reports Tutorial
Here u Can Learn to Create Forms And Reports With Oracle ...!!! To Download this Video ... click the link Below http://goo.gl/wD0oHK Oracle 10g Developer Suite - Download from the below link http://www.oracle.com/technetwork/developer-tools/developer-suite/downloads/index.html
Views: 45272 Developer Zone
Machine Learning - Find relationship between data
Hi friends this video will explain basic introduction on machine learning as relation between data. What is Science? We can look at scince from lot of different perspective. One of the way to look at science as finding relation between different qunatity. Since we started systematic study to understand nature, universe and its behaviour which we call science. Scientist observing different qunatity, gather data, find relation between data, and present it into mathematical form. Sir issac newton observe force acting on object, accelaration appliend on object and mass of object and found out that these are related quantity, relation exist between these quantity. Newton put that in mathematical form Force = Mass x accelaration, F = M A Dr albert einstien showed that mass can be converted into energy and energy can be converted into mass. These are related quantity with speed of light and came up with famous mass energy equation E = MC^2 In our daily life also, unconsciously or consciously we do find relation between diffrent event and based on relation we act upon new situation. So, science is all about finding relation between data. Relation exist everywere, More relation we extract beter we will understand situation. All nature hidden secret lie in relation exist beween diffrent quantity. So, can machine find this type of relation between different quantity? Can machine learn, understand this quantity and became next newton or einstien. I hope not, but if we want to go far in universe, want to know deep secret of universe. we must teach machine skill like mathematician and physicist. Answer is yes. Still at small scale but Machine can find relation between data which is nothing but machine learning. Lets undersand with example. Lets say we want to find price of house in town. and we have data avaialble with us for 10,000 houses, Like - No of bedroom in house, Total squarefoot of house and price of house. Can machine find relation between data using machine learning algorithm that how much weight individual feature has on price of the house. Yes, Regression one of supervised machine learning technique we can use. we will feed all 10,000 house data on regression algorithm, and it will come up with model and that model nothing but relation beween input obervation. // show diff equation. So, For new house data when we feed it to relation ship it will tell us house price. Lets say we have million of email of diffrent user. and we want to find weather email is spam or ham. Does any relation exist between email content and weather its spam or ham. We can feed email to Machine learning algorithm it will give us those relationship between email content and email spam or ham. So, Mahine learning is all about finding relation between data. Thats is for this video friends. Please like video and comment your views on machine learning. If you want me to make more video on different computer science technology please write it into comment. and please share with frinds and subscribe channel for more video. at last Thank you for watching.
Views: 1625 MyStudy
SQL interview questions Part 1
SQL Interview Questions and Answers explain Fundamentals of SQL. Usage of SQL, Advantages & Disadvantages of SQL, SQL Queries, SQL Joins, Normalization, Views, SQL Keys and Indexes. SQL stands for structural query language, is used to perform database operations like insert, delete, update and modify database.
Views: 45059 G C Reddy
Data Mining Lecture - - Advance Topic | Web mining | Text mining (Eng-Hindi)
Data mining Advance topics - Web mining - Text Mining -~-~~-~~~-~~-~- Please watch: "PL vs FOL | Artificial Intelligence | (Eng-Hindi) | #3" https://www.youtube.com/watch?v=GS3HKR6CV8E -~-~~-~~~-~~-~- Follow us on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy
Views: 40937 Well Academy
How to extract Text from PDF in c#
PDF Focus.Net - How to extract Text from PDF in c# and VB.Net
Views: 11710 SautinSoft
data mining fp growth | data mining fp growth algorithm | data mining fp tree example | fp growth
In this video FP growth algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining algorithms in hindi, data mining in hindi, data mining lecture, data mining tools, data mining tutorial, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining fp growth, data mining fp growth algorithm, data mining fp tree example, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining, fp growth algorithm, fp growth algorithm example, fp growth algorithm in data mining, fp growth algorithm in data mining example, fp growth algorithm in data mining examples ppt, fp growth algorithm in data mining in hindi, fp growth algorithm in r, fp growth english, fp growth example, fp growth example in data mining, fp growth frequent itemset, fp growth in data mining, fp growth step by step, fp growth tree
Views: 94461 Well Academy
UTL_MATCH : String Matching in Oracle
Use the UTL_MATCH package to determine the similarity between two strings. For more information see: https://oracle-base.com/articles/11g/utl_match-string-matching-in-oracle Website: https://oracle-base.com Blog: https://oracle-base.com/blog Twitter: https://twitter.com/oraclebase Cameo by Danny Bryant Blog: http://dbaontap.com/ Twitter: https://twitter.com/dbcapoeira Cameo appearances are for fun, not an endorsement of the content of this video.
Views: 2839 ORACLE-BASE.com