Search results “Data mining oracle database” for the Май 2014
Oracle Data Miner/SQL Developer + R Integration via SQL Query node
This presentation and demo shows the integration capabilities of Oracle Data Miner/SQL Developer + Oracle R Enterprise integration.
Views: 9139 Charlie Berger
Mining the FDA Adverse Event Reporting System with Oracle Empirica Signal
Learn how to identify safety and pharmacovigilance signals by data mining FAERS with Oracle's Empirica Signal. -- Ever since the European Union (EU) introduced new legislation that requires life sciences companies to proactively detect, prioritize, and evaluate safety signals, there has been an increased interest, not only from sponsors and CROs in the EU, but globally, in pharmacovigilance systems that can assist with the signal management process. Please join Perficient's Chris Wocosky, an expert in signal detection and management, for this video in which she discussed how your organization can use Empirica Signal, Oracle's state-of-the-art signal detection system to data mine the existing FDA Adverse Event Reporting System (FAERS) to determine safety signals. This video will help you to better understand how this solution can be used in daily pharmacovigilance activities. To view this webinar in its entirety, please visit: https://cc.readytalk.com/r/7ekwxbm7q33t&eom Stay on top of Life Sciences technologies by following us here: Twitter: http://www.twitter.com/Perficient_LS Facebook: http://www.facebook.com/Perficient LinkedIn: http://www.linkedin.com/company/165444 Google+: https://plus.google.com/+Perficient SlideShare: http://www.slideshare.net/PerficientInc
Views: 4585 Perficient, Inc.
Exploring GIS: Spatial data sources
An overview of the issues related to spatial data sources for use in a geographic information system. The discussion include: common sources of GIS data, assessing data quality, errors, uncertainty, GPS and Census data.
Views: 6069 GIS VideosTV
SQL Tutorial | Installing Sample Databases and Working Files
Want all of our free SQL training videos? Visit our Learning Library, which features all of our training courses and tutorials at http://learn.infiniteskills.com?utm_source=youtube&utm_medium=youtube_video_description&utm_campaign=sql_tutorial_installing_sample_databases_working_files&network=youtube More details on this SQL training can be seen at http://www.infiniteskills.com/training/learning-sql.html?utm_source=youtube&utm_medium=youtube_video_description&utm_campaign=sql_tutorial_installing_sample_databases_working_files&network=youtube. This clip is one example from the complete course. For more free SQL tutorials please visit our main website. YouTube: https://www.youtube.com/user/OreillyMedia Facebook: https://www.facebook.com/OReilly/?fref=ts Twitter: https://twitter.com/OReillyMedia Website: http://www.oreilly.com/
Oracle Training | SQL Developer Installation and Usage
Oracle online training. This video tutorial demonstrates how to install Oracle SQL Developer on a Windows machine. You'll learn not only installation, but also how to issues SQL queries directly through SQL Worksheet and the SQL Query Builder. Finally, you'll learn how to save a SQL query to be later executed. You can take full Oracle courses with Firebox training and get certified: https://www.fireboxtraining.com/oracle
Views: 1250 Firebox Training
ORWARE Business Mailing Video 01 Creating Business Database via Screen Scraping
This video details the steps I used to extract business and address information from the El Centro and Brawley Chamber of Commerce websites using screen scraping. You may download a copy of the generated database file here: http://www.orware.com/business-database Technical Details: A two-step process was followed: first cached versions of the HTML pages were created (so that the servers would not have to be contacted unnecessarily multiple times) and then the files are processed and the extracted data stored in a CSV file that can later be used to create a Mail Merge in Microsoft Word. The code was written in PHP.
Views: 55 Omar Ramos
Big Data Pipelines and Use Cases at StumbleUpon - SF Data Mining Meetup Talk
Don’t miss the next DataEngConf in Barcelona: https://dataeng.co/2O0ZUq7 You can read the full post for more information: http://www.hakkalabs.co/articles/big-data-pipelines-use-cases-stumbleupon This talk is from the SF Data Mining Meetup hosted by Trulia. StumbleUpon indexes over 100 million web pages for serendipitous retrieval for over 25 million registered users. Debora Donato (Principal Data Scientist, StumbleUpon) walks through StumbleUpon's big data architecture, mobile optimization efforts, and data mining projects.
Views: 881 Data Council
Praktikum 1 - Pendahuluan PL/SQL
Video tutorial database Oracle, PL/SQL Bahasa Indonesia Politeknik Elektronika Negeri Surabaya
Dataverse 4.0 Beta: Creating a Dataverse & Adding a Dataset
This video shows how to create a dataverse, add a dataset to get a citation, then add more descriptive metadata for your dataset in Dataverse 4.0 Beta. Try it yourself at dataverse-demo.iq.harvard.edu
Views: 312 IQSS Harvard
Structured Databases and Unstructured Databases - types of Databases in Hadoop
Types of Databases in Hadoop! Structured Databases and Unstructured Databases! This is a discussion on the live course on Big Data Hadoop, conducted by ufaber.com. Notice the kind fundamental clarity that the trainer displays here, when he is talking about different types of structured and unstructured data bases For more such helpful videos on Hadoop subscribe to our Channel. To know more kindly go on this link - http://ufaber.com/course/hands-on-certification-course-on-big-data-hadoop You can also visit us on our website – www.ufaber.com
Views: 391 uFaber
Maven, TomEE Plus, and RESTful Web Services
Get started with TomEE Plus and RESTful Web Services in a Maven based application in about 5 minutes. All tools and technologies are integrated out of the box and for free via NetBeans. (Note: The screencast above is silent, no sound.)
Views: 6223 Geertjan Wielenga
How to manage database connector issues
This QlikView Enablement module will provide you with that next level of troubleshooting when it comes to Database Connector issues. A great way to troubleshoot these issues are to become familiar with the data source names and which type of connector is needed be able to interact with the data source and retrieve data.
Views: 488 Qlik Support
JIIT Project 2013-2014 (10104685) On Data Mining which is a website on Stock market Analysis which will deal with the role of markets in our daily life. This website will help the people or users to have the opportunity of knowing what is presently happening in the markets both in India and globally. The user can have a complete view of the current news and markets trends and be recommended what and where to invest .
Views: 328 GB JIIT
Hadoop Tutorial: Analyze JSON Data in Datameer to Express Variable Structures
http://www.datameer.com Learn how to use JSON in Datameer to work with unstructured, semi-structured and variably structured records. This is especially useful with machine data coming from sensors or systems that may change the type of data delivered depending on the context.
Views: 520 Datameer
Access Controls and Data Classification v3
This short film explores access controls and data classification.
Views: 279 Curt Carver
Follow the Patient: Electronic Data Capture - Presenting, Screening & Operative
Operation smile is a global charity providing free surgeries to repair cleft lip, cleft palate and other facial deformities for children. Slainte Healthcare is supporting Operation Smile on their missions, this video shows how Vitro captures clinical and administrative data, following children from presenting, to screening and through to operative.
Views: 290 Vitro Software
Data Mining | Web Scrapping | Data Extraction
The term Data Mining refers to the extraction of vital information by processing a huge amount of data. Data Mining plays a prominent role in predictive analysis and decision making. Companies basically uses these techniques to know the exact customer focus and finalize the marketing goals. DM is also useful in market research, industry research and competitor's analysis. Major activities involved in DM is: • Extract Data from web databases. • Load them into data store systems • Classify stored data in multidimensional database system • Analysis using some automated technical software application. • Presentation of Extracted information useful format like PPT, XLS file For more details: http://bit.ly/1iAor17
Turning Data into Actionable Insights   Power BI for Professional Services
Discover how to unlock insights in Power BI. Watch as we live demo Power BI's features that enable professional services companies to drive better and more informed decisions by staying connected to data in real time.
Views: 283 Tallan
ABC Data Analysis database
Assists in analyzing direct observation data to conduct a functional behavior assessment and guide behavior intervention planning.
Views: 2124 Dustin Reese
DB & SQL – Kapitel 18; Business Intelligence (1): OLAP
Dieses Begleitvideo zum Buch ›Datenbanken & SQL‹ (http://lulu.com/spotlight/matthias_wolf) gehört zum Abschnitt Business Intelligence und erläutert die Begriffe Datawarehouse, Data Mart, Data Mining, OLAP, Operationen Schemata
Views: 1272 Matthias Wolf
Big Data Project: Group 8: Grocery Data Mining. May 2014
I created this video with the YouTube Video Editor (http://www.youtube.com/editor)
Views: 419 TheKunnu89
Oracle Sales Academy Class of 2014 (June)
Anthony D'Alessandro Oracle Sales Academy 2014 (June)
Views: 722 Anthony Dalessandro
Data Mining Project 2 Video Fall 2014 By Danny L. Cook
Data Mining Class CS 583 Texas Southern University Fall Semester 2014 By: Danny L. Cook Graduate Student Computer Science Title of Paper Read Reported on: Clustering Through Decision Tree Construction Research Paper Reading And Analysis
Views: 63 dannyboyakadboy11
(Theory 8) Query Optimization
This is my fifth theory video of my weekly database tasks (oracle) I will now discuss about How to optimize a query. Happy watching :))
Data Integration for the Industrial Internet by Sami Zeitoun, Director of Solutions Eng., Attunity
Data Integration for the Industrial Internet by Sami Zeitoun, Director of Solutions Engineering, Attunity Hosted by Eric David Benari A Database Month event http://www.NYCSQL.com/events/181749052/ It's no secret. The Industrial Internet is changing the way we work. This convergence of machine and intelligent data with advanced analytics is forging new territory rife with opportunity. So, in the age of the Industrial Internet how do you ensure that your business can keep its competitive edge? Do you have a plan for incorporating ALL of your enterprise data for analytics initiatives, considering a) the high volume and demand of data today b) the various types of data you'll need to support and c) the various sources you'll need to access the data from - ie sensors, machines, clouds and more? Moving the data from one platform to another, for business intelligence (BI), analytics, distribution or migration, is often rife with challenges. For starters, one often has to contend with performance issues such as low-bandwidth pipes not built for Big Data, outdated and slow batch-oriented processes such as ETL, complex custom scripting that costs time and money, and working through a myriad of different enterprise systems. Put plainly, 'Big Data' often becomes a 'Big Headache'. In this session, attendees will learn best practices for driving real-time reporting with ever-changing data, automating data integration set up and configuration from multiple sources, and speeding the data replication and loading process to and from major platforms such as Oracle, Microsoft SQL Server, MySQL, HP Vertica, Pivotal, Teradata and Amazon Redshift. Sami Zeitoun is the Director of Solutions Engineering at Attunity where he holds a critical role in ensuring customer integration success. He has a deep background in data replication having held numerous roles within engineering and product management at Attunity. As a key member of the product integration team, Sami understands the trends and present-day needs of customers working with big data across various platforms.
Multi Channel Shopper Segmentation in Retailer Analytics Using R Language
Elaiya Raja Final Year MCA Project
Views: 1260 elaiya raja
Novatronix GIS Suite - Create Data Store Tutorial
Step-by-step tutorial on creating a feature data store using Novatronix GIS Suite tools. GIS platform directly and natively accesses spatial data stored in files and relational databases, as well as connect to web services. Implemented technology helps increase productivity, saving time by enabling users to seamlessly work on a variety of spatial and non-spatial databases and files without translation and consequent loss of data. Supported spatial database vendors include SDF, MySQL, PostGIS, MS SQL, Oracle, and many others. Please visit product page for more details: http://www.novatronix.org/?page_id=455
Views: 61 Novatronix
SQL-Structured Query Language Tutorial The Relational Model of Data Storage Training Lesson 1.3
Learn about The Relational Model of Data Storage in SQL- Structured Query Language at www.teachUcomp.com. Get the complete tutorial FREE at http://www.teachucomp.com/free Visit us today!
Views: 506 TeachUComp
Multi Banking System
Gagner Technologies offers M.E projects based on IEEE 2014 . M.Phil Research projects,Final Year Projects, M.E projects 2014-2015, mini projects 2014-2015, Real Time Projects, Final Year Projects for BE ECE, CSE, IT, MCA, B TECH, ME, M SC (IT), BCA, BSC CSE, IT IEEE 2013 Projects in Data Mining, Distributed System, Mobile Computing, Networks, Networking. IEEE2014-2015 projects. Final Year Projects at Chennai, IEEE Software Projects, Engineering Projects, MCA projects, BE projects, JAVA projects, J2EE projects, .NET projects, Students projects, Final Year Student Projects, IEEE Projects 2014-2015, Real Time Projects, Final Year Projects for BE ECE, CSE, IT, MCA, B TECH, ME, M SC (IT), BCA, BSC CSE, IT,software Engineering For more details contact below Address No 1,South Dhandapani street(opposite to T.Nagar Bus Stand),T.Nagar,chennai-17 call:8680939422,9962221452 Mail to:[email protected]
Views: 3523 Gagner Technologies
Deel 4 - Advanced Analytics
Part 4 of 5 Models, Methods & Management, more information on: http://bit.ly/1sa7yNI
Views: 305 DeloitteNederland
Battle of the boats -- how technology won the America's Cup.
In this public lecture America's Cup engineers, Andy Kensington and Neil Wilkinson, from Emirates Team NZ and Oracle Team USA share behind-the-scenes details about the technology that won the series. Hosted by IPENZ, the two design engineers talk about the particular technology that helped Oracle make a miraculous turn around last year, from 8-1 to 9-8, clawing back Team New Zealand's lead to defy the odds and win. In this one hour public lecture, sponsored by Beca, the two New Zealanders reveal details about the competition that took place off the water and out of sight as teams worked into the night behind closed doors, using cutting-edge technology and last-minute changes to gain a competitive edge. Battle of the boats is a IPENZ Centenary lecture, more details at: http://www.ipenz.org.nz/IPENZ/Events_and_Awards/Centenary_Public_Lecture_Series/2014_-_Battle_of_the_Boats.cfm
This tutorial shows you the most important features of datapine. It will give you a short overview on how our tool is structured and what it is capable of.
Views: 1549 datapine
The Exploding World of Data: How newspaper media can use big data
Big Data is a hot buzzword. Analyzing and mining data is the next frontier in customizing content and advertising. Hear about the relevant data for newspaper organizations and how the information can be applied. Learn more: http://www.naa.org/mediaXchange/Program/The-Exploding-World-of-Data.aspx
Changing trends/paradigm of rural retail market.
This is a work of marketing student of School of business and management studies of Central University of Himachal Pradesh. this video is an attempt to describe the changing trends/paradigm of rural retailing in India. This video will be helpful for those who wish to want to enter in the rural retail market. also it can be a learning experience for marketing students interested in understanding rural marketing.
Views: 1074 Shubhrat Sharma
CORE Point of Sale
The Retail Industry is one that lives and dies on margins; hence it is imperative that players in the sector to continuously increase revenue while decreasing costs. Adoption of technology is one of the ways the industry can accomplish both goals. Here at CompuLynx Ltd, we have developed software solutions for retailers that will be driving efficiency in the sector today and in the years to come.
Views: 523 CompuLynx HQ
SQL Server 2014 - In-Memory DW
With the release of SQL Server 2014, there are some features that can improve the performance of your SQL Server environments. This video is the forth in a 5 part series taking you through a high level overview of how In- Memory DW (Clustered ColumnStore Index ) can improve the performance in your SQL Server environments.
Mining the Web
Chris McNaboe knows his Syrian opposition armed groups. For the current conflict, he can tell you exactly when a particular brigade formed from previously separate battalions around Aleppo, Syria; how many people are in the brigade; their reason for forming; and what weapons they have. The primary source for this top-level insider info? Facebook, Twitter, and YouTube. Watch the video to learn more about the Carter Center's Syria Conflict Mapping Project. Founded in 1982 by former U.S. President Jimmy Carter and former First Lady Rosalynn Carter in partnership with Emory University, The Carter Center is committed to advancing human rights and alleviating unnecessary human suffering. The Center wages peace, fights disease, and builds hope worldwide.
Views: 636 The Carter Center
SQL Injection [POST Method] - SQLMAP
THT Facebook Pages : https://www.facebook.com/hack.tn https://www.facebook.com/Tunisianhackersteam2 THT Twiiter : @XhckerTN
Views: 30986 Tunis ian Hac kers
Stock Market Database Software ✔ Stock Market
Trading Profits of $760 in just 72 seconds! TOP SECRET Formula! Click Here Now! http://tiny.cc/Profits-Auto-Pilot You've probably heard a lot about the brand new ABS software this week, but if not, here's what you're missing: http://tiny.cc/Profits-Auto-Pilot With AutoBinarySignals, you can: 1) Get started in just a few minutes from right now. 2) Can be used by Beginners. 3) Super-Accurate '80-100%' Leading Signals! 4) Uses a Risk/Reward Stabilizing System 5) Take revenge on the brokers who have happily taken all your cash for months. 6) Unqiue MPMIS - Multi-Indicator System 7) Use's a sepcialist Supply/Demand Price Predictor. 8) Auto-Adaptive Profit-Trade Technology™ 9) Earn a reputation as the binary trader "in the know". It is not important if you're just looking to just take a cheap $799 weekend cruise or your trying to create a livelihood from trading and want to earn $5,341.55 a week or even up to $9,711.09 in a day. With ABS, anything is possible for you. Retire With Penny Stocks. Penny Stocks Can Make You Rich! Click Here Now! http://tiny.cc/Penny-Stocks
Views: 30 jamesdav
Getting Started with Big Data Genomics Using Scala and IntelliJ
Up and Running with Big Data Genomics This short (around six minutes) screencast is meant to get someone new to Scala, IntelliJ, and the Big Data Genomics stack up and running with a configured development environment. We'll walk you through downloading the appropriate JDK, IntelliJ IDE, and plugings. Then we will set up the project (using ADAM as the example), generating sources, packaging the application, and building the project. We'll cover running tests, as well as some basic exploration and code navigation using the IDE. Note, if you have trouble using maven package in the command line, you may want to add the following to your .bashrc, or at least export these environment variables before running mvn package: export MAVEN_OPTS="-Xmx512m -XX:MaxPermSize=128M" export JAVA_HOME=`/usr/libexec/java_home -v 1.7` Links * 00:00:14 Oracle JDK 7 * 00:00:28 IntelliJ IDE * 00:00:43 ADAM Github Repository
Views: 1442 Isaac Hodes
Lewis McGibbney - Deploying Apache Gora as a Query Broker
Deploying Apache Gora as a Query Broker http://apacheconnorthamerica2014.sched.org/event/3284e404dfe48af2528ba9bba2376042
Views: 292 TheApacheFoundation
bpmNEXT 2014: bpm-NEXT or BPMN-ext?, Jean-Loup Comeliau, W4
Because we trust Business Process Management is a commodity for organizations, we think the extensions to BPMN are key since Business Processes can't live by themselves, but do require connections to the IT, Data Models and Graphical User Interfaces. And guess what, this is where W4 focuses its innovation to provide a all-in-one environment to define the 3 elements together. Moreover, as a complement to our BPMN2-native engine, we will show that it is possible to model and execute a whole BPM application connected to databases and ECM systems, without the need to produce Java (or whatever) code. Jean-loup is a product manager at W4. He worked in Europe and in the US for several startups, involved in model driven application development. He is particularly interested in innovative BPM, able to automate solutions, including social aspects, user interfaces and data. He holds an MS in Software Engineering and an MBA from the Kelley School of Business.
Base de Datos con Python
Semana 4 del Curso Python para Zombies
Views: 4384 Jose Diaz
Deel 2 - Advanced Analytics
Part 2 of 5 Models, Methods & Management, more information on: http://bit.ly/1sa7yNI
Views: 1097 DeloitteNederland
CSE562 Class 22 Data Warehousing
Everything you ever wanted to know about data warehousing (in 1 hour and 20 min)
Views: 205 Oliver Kennedy
Privacy Preserving Public Auditing For  Secure Cloud Storage
Using Cloud Storage, users can remotely store their data and enjoy the on-demand high quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in Cloud Computing a formidable task, especially for users with constrained computing resources. Moreover, users should be able to just use the cloud storage as if it is local, without worrying about the need to verify its integrity. Thus, enabling public auditability for cloud storage is of critical importance so that users can resort to a third party auditor (TPA) to check the integrity of outsourced data and be worry-free. To securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities towards user data privacy, and introduce no additional online burden to user. In this paper, we propose a secure cloud storage system supporting privacy-preserving public auditing. We further extend our result to enable the TPA to perform audits for multiple users simultaneously and efficiently. Extensive security and performance analysis show the proposed schemes are provably secure and highly efficient. Our preliminary experiment conducted on Amazon EC2 instance further demonstrates the fast performance of the design.

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