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Enterprise Connectors - Social Media Data Mining
 
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This is a replay of the webinar covering using the CData Enterprise Connectors for FireDAC to connect to Twitter and Facebook to mine social media data. The examples are in Delphi, but they could also easily be adaptable for C++Builder too.
Enterprise Data Warehouse concept in simple and layman terminology
 
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You will learn meaning of Data Warehouse, its requirement for industries. You will also learn from this video about Basics of Data, Tableau, Database, ETL, Data Marts and data mining.
Data Mining: Carvana Lemon Car Prediction using SAS Enterprise Miner
 
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Business Case: To predict if the car purchased at the Auction is a bad buy, using car related and purchase related data. Methods: Logistic regression, Decision Trees, Memory Based Reasoning, Neural Networks using SAS Enterprise Miner.
Views: 1471 Sachin's Tech Corner
SAS® Enterprise Miner™ Software Demo
 
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http://www.sas.com/enterpriseminer SAS Enterprise Miner streamlines data mining to create accurate predictive and descriptive models based on large volumes of enterprisewide data. SAS ENTERPRISE MINER Reveal valuable insights with powerful data mining software. Descriptive and predictive modeling provide insights that drive better decision making. Now you can streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most. Looking for benefits? How about: * Build better models with the best tools. * Empower business users. * Improve prediction accuracy. Share reliable results. * Automate model deployment and scoring. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/enterpriseminer 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: 95221 SAS Software
Data Mining - SAS Enterprise Miner: How to create a new project and import data
 
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SAS Enterprise Miner: How to create a new project and import data. Not officially associated or endorsed by the module IMAT3603 at DMU.
Views: 318 Jamie Cropley
Data Mining - Decision Tree
 
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Use a view to make predictions about bike purchases.
Views: 10719 Mike
The Predictive Enterprise: Where data science meets supply chain
 
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The supply chain is one of the largest sources of big data; it carries and produces information that affects almost every other area of the business. Most businesses are not using this potential treasure-trove of information effectively, despite recognizing its value. Companies must progress from using analytics to describe the past and begin using it to inform future business. The predictive supply chain is the essential foundation of a re-imagined predictive enterprise. DHL is a collaborative and strategic partner to its customers that factors in their wider business operations to develop smarter supply chain solutions. To find out more, read the whitepaper, ‘The Predictive Enterprise: Where data science meets supply chain.’ http://www.dhl.com/predictive
Views: 17684 DHL
Introduction to KPMG Process Mining with Microsoft Power BI
 
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KPMG Process Mining visualizes actual business processes with Microsoft Power BI. The processes are created from transactional data and do not need any user modeling. This ensures process analysis without bias and provides full end-to-end process transparency. It aims to help businesses find and present better alternatives to real-life processes, to make them more efficient and controls more effective. The demonstration shows a procurement process from the creation of a purchase request to a payment release that has been analyzed in three specific use cases. Learn more: https://powerbi.microsoft.com/en-us/
Views: 7243 KPMG
The Lost Art of Enterprise Data Modeling
 
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We are missing great paintings from Raphael, Rembrandt, Bellini and Van Gogh. Like these great works, Enterprise data modeling & data modeling in general are the forgotten arts of data management but we can’t blame the Axis powers for this. In this Data Management Moment, EWSolutions President David Marco illustrates how companies that embrace enterprise data modeling will have a key fundamental discipline for world-class data management.
Views: 203 EWSolutions
Data Mining - SAS Enterprise Miner - Review
 
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SAS Enterprise Miner provides easy to use suite of structured data mining tools for creating and sharing models, based on the analysis of the given data. SAS Enterprise Miner selects the model best fit for your data by focusing on building the least complex model. We will be testing the Iris Data Set. You can download the data set from UCI Machine Learning Repository. https://archive.ics.uci.edu/ml/datasets/iris You can download the data set by clicking on "Download Data Folder". The data set contains 3 classes of 50 instances each, where each class refers to a type of iris plant. We have sepal length, sepal width, petal width, petal length (all these attributes are measured in centimeter) and 3 classes of flower: Iris Setosa, Iris Virginica and Iris Versicolour. We will be using Petal Width as our Target Variable. Software Used: 1. SAS Enterprise Miner 2. Camtasia 3. Freemake
Views: 24 Mayank Yadav
Social Analytics in the Enterprise
 
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Social Analytics and Text Mining, Lecture of Mr. Ido Guy, Manager, IBM Haifa Research Lab, "Social Analytics in the Enterprise" Data Mining for Business Intelligence - Bridging the Gap Ben-Gurion University of the Negev
#FutureOfData with @CharlieDataMine, @Oracle discussing running analytics in an enterprise
 
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In this Podcast Charlie Berger from Oracle discussed some of the challenges of data driven enterprise. Podcast Link: iTunes: http://math.im/itunes GooglePlay: http://math.im/gplay Charlie's favorite read suggestions: 1. The Naked Future: What Happens in a World That Anticipates Your Every Move? Link: http://amzn.to/2xMNdJP 2. Big Data: A Revolution That Will Transform How We Live, Work, and Think Link: http://amzn.to/2xIoHcj Charlie's BIO: Passionate technical professional skilled in building entrepreneurial, start-up initiatives and environments. Strong technical, product management, communication, marketing and leadership skills. • Experienced product management professional with over 30 years of experience in leading edge technologies in large corporations and entrepreneurial start-ups. • During 15 years at Oracle Corporation, developed an innovative portfolio of “big data analytics” products developed as in-database SQL data mining functions and integrated "predictive analytics" applications. • Strong technical, product management, communication and leadership skills. • Responsible for product management and direction for the Oracle Database data mining and predictive analytics technology including Oracle Data Mining, text mining and statistical functions. • Strong product champion, evangelist and frequent speaker in the field of predictive analytics and data mining. • Leveraged relationships with customers, development and sales to communicate product capabilities and value proposition. About #Podcast: #FutureOfData podcast is a conversation starter to bring leaders, influencers and lead practitioners to come on show and discuss their journey in creating the data driven future. Wanna Join? If you or any you know wants to join in, Register your interest @ http://play.analyticsweek.com/guest/ Want to sponsor? Email us @ [email protected] Keywords: FutureOfData Data Analytics Leadership Podcast Big Data Strategy
Views: 746 AnalyticsWeek
What is Text Mining?
 
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An introduction to the basics of text and data mining. To learn more about text mining, view the video "How does Text Mining Work?" here: https://youtu.be/xxqrIZyKKuk
Views: 40702 Elsevier
Finding the Gold in Your Data: An Overview of Data Mining
 
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David Dickey presentation at SAS Global Forum 2013
Views: 3370 SAS Software
SQL Server Enterprise Data Mining
 
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Microsoft MVP Mark Tabladillo discusses SQL Server Data Mining (SSDM) for SQL Server Professionals. http://marktab.net Mark spoke at SQL Saturday Silicon Valley in March 2012, organized by Mark Ginnebaugh of DesignMind. http://www.designmind.com/ Starting with SQL Server Management Studio (SSMS), the demo includes the interfaces important for professional development, including Business Intelligence Development Studio (BIDS), highlighting Integration Services, and PowerShell.
Views: 313 DesignMind
Introduction to data mining and architecture  in hindi
 
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Sample Notes : https://drive.google.com/file/d/19xmuQO1cprKqqbIVKcd7_-hILxF9yfx6/view?usp=sharing for notes fill the form : https://goo.gl/forms/C7EcSPmfOGleVOOA3 For full course:https://goo.gl/bYbuZ2 More videos coming soon so Subscribe karke rakho  :  https://goo.gl/85HQGm for full notes   please fill the form for notes :https://goo.gl/forms/MJD1mAOaTzyag64P2 For full hand made  notes of data warehouse and data mining  its only 200rs payment options is PAYTM :7038604912 once we get payment notification we will mail you the notes on your email id contact us at :[email protected] For full course :https://goo.gl/Y1UcLd Topic wise: Introduction to Datawarehouse:https://goo.gl/7BnSFo Meta data in 5 mins :https://goo.gl/7aectS Datamart in datawarehouse :https://goo.gl/rzE7SJ Architecture of datawarehouse:https://goo.gl/DngTu7 how to draw star schema slowflake schema and fact constelation:https://goo.gl/94HsDT what is Olap operation :https://goo.gl/RYQEuN OLAP vs OLTP:https://goo.gl/hYL2kd decision tree with solved example:https://goo.gl/nNTFJ3 K mean clustering algorithm:https://goo.gl/9gGGu5 Introduction to data mining and architecture:https://goo.gl/8dUADv Naive bayes classifier:https://goo.gl/jVUNyc Apriori Algorithm:https://goo.gl/eY6Kbx Agglomerative clustering algorithmn:https://goo.gl/8ktMss KDD in data mining :https://goo.gl/K2vvuJ ETL process:https://goo.gl/bKnac9 FP TREE Algorithm:https://goo.gl/W24ZRF Decision tree:https://goo.gl/o3xHgo more videos coming soon so channel ko subscribe karke rakho
Views: 138076 Last moment tuitions
Data Mining with R and SAS enterprise miner - Part 1
 
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Introduction to Data structures in R UCF University
Views: 133 taha mokfi
Network-Wide Data Discovery With Enterprise Recon 2
 
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Not sure where your organization's data is hiding? Discover, remediate, and secure all sensitive data across your entire business. Sensitive data discovery allows organisations to understand where their sensitive data rests in their organisation. Enterprise Recon allows users to remediate this found data and create a more secure environment. Find out more here: https://www.groundlabs.com/enterprise-recon Follow us on Twitter! https://twitter.com/Groundlabs
Views: 7899 Ground Labs
Using Data Mining in Forecasting Problems
 
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In this presentation, Analytics 2012 keynote speaker, Tim Rey from Dow Chemical Company, shares methodologies for using data mining to get the most value out of time series data.
Views: 8683 SAS Software
8/17/18 Using Analytic Solver Data Mining to Gain Insights from Your Data in Excel 1
 
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Live Webinar Recording: Do you want to learn and get results quickly from data mining and predictive analytics for your business? Have you found that "enterprise data mining" software involves far too much cost, risk and learning time? Do you want to apply traditional time series forecasting and regression, and also new data mining methods? Is the data you need found in SQL databases, data warehouses, public datasets, and Excel spreadsheets? Easily draw samples and build data mining models for all your data using Excel, PowerPivot and Analytic Solver Data Mining Use XLMiner's tools to uncover and visualize hidden relationships, clean and transform, and cluster your data Forecast future trends with a full range of traditional ARIMA, exponential smoothing, and regression methods Create classification and prediction models using the full spectrum of data mining methods -- from discriminant analysis and logistic regression to classification/regression trees, association rules, and neural networks
Views: 78 FrontlineSolvers
2 - Data warehouse Architecture  Overview
 
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A quick video to understand standard Datawarehouse architecture. It consists of following layers 1. Data Source layer 2. ETL 3. Staging Area 4. Datawarehouse - Metadata, Summary and Raw Data 5. OLAP, Reporting and Data Mining Data warehouse is populated from multiple sources for an organisation. All these source system comes under Data Source layer. Some of the source systems are listed below: 1. Operations Systems -- such as Sales, HR, Inventory relational database. 2. ERP (SAP) and CRM (SalesForce.com) Systems. 3. Web server logs and Internal market research data. 4. Third-party data - such as census data, demographics data, or survey data. ETL Tools: Talend Open Studio, Jaspersoft ETL, Ab initio, Informatica, Datastage, Clover ETL, Pentaho ETL, Kettle For more details visit http://www.vikramtakkar.com/2015/09/data-warehouse-architecture-overview.html Datawarehouse Playlist: https://www.youtube.com/playlist?list=PLJ4bGndMaa8FV7nrvKXeHCLRMmIXVCyOG
Views: 77879 Vikram Takkar
Spatial Data Mining II: A Deep Dive into Space-Time Analysis
 
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Space and time are inseparable, and integrating the temporal aspect of your data into your spatial analysis leads to powerful discoveries. This workshop will build on the cluster analysis methods discussed in Spatial Data Mining I by presenting advanced techniques for analyzing your data in the context of both space and time. We will cover space-time pattern mining techniques including aggregating your temporal data into a space-time cube, emerging hot spot analysis, local outlier analysis, best practices for visualizing your space-time cube, and strategies for interpreting and sharing your results. Come learn how to use these new techniques to get the most out of your spatiotemporal data.
Views: 5888 Esri Events
Secrets of Enterprise Data Mining with Mark Tabladillo - Alaska SQL User Group - 09-11-14
 
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If you have a SQL Server license (Standard or higher) then you already have the ability to start data mining. In this new presentation, you will see how to scale up data mining from the free Excel 2013 add-in to production use. Aimed at beginning to intermediate data miners, this presentation will show how mining models move from development to production. We will use SQL Server 2014 tools including SSMS, SSIS, and SSDT. Speaker: Mark Tabladillo, SQL MVP Mark is a consultant who provides enterprise data science analytics advice and solutions. He uses Microsoft Azure Machine Learning, Microsoft SQL Server Data Mining, SAS, SPSS, R, and Hadoop (among other tools). He works with Microsoft Business Intelligence (SSAS, SSIS, SSRS, SharePoint, Power BI, .NET). He is a SQL Server MVP and has a research doctorate (PhD) from Georgia Tech. More Info: http://www.alaskasql.org/blog/post/16/9-11-14--Secrets-of-Enterprise-Data-Mining
Data Mining: SAS Enterprise Miner Tutorial (UCI Mashable)
 
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A tutorial on using SAS Enterprise Miner on UCI Mashable Article Dataset
Views: 681 Jagpreet Sethi
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: 27738 SAS Software
Master of Science in Enterprise Analytics
 
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The Master of Science in Enterprise Analytics is a new program at Pace University's Seidenberg School of Computer Science and Information Systems. The MS in Enterprise Analytics combines computer science, statistics, data warehousing, database design, and data mining into a program that includes advanced analytics skills, a foundation in data science technology architectures, database programming, and algorithmic thinking to source data, build queries, develop reports, and build enterprise applications that extract maximum value and recognize patterns or anomalies in Big Data sets. Find out more! http://www.pace.edu/seidenberg/enterprise-analytics-ms
Views: 661 Pace Seidenberg
Data Mining com SAS Enterprise Miner
 
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Como transformar enormes quantidades de dados em informações úteis para as empresas? Nesta apresentação, Marcelo Gavazzi explica como o SAS Enterprise Miner pode ajudar seu negócio nas tomadas de decisão.
Views: 382 SAS Software Brasil
ISM Data Mining USF SAS Enterprise Miner Demo
 
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ISM Data Mining USF SAS Enterprise Miner
Views: 117 Jordan Rimert
Data Mining Concepts implementation using SAS Enterprise Miner
 
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In this video, I have explained five Data Mining Concepts and implemented them using SAS Enterprise Miner
Concepts in Data Mining using SAS Enterprise Miner
 
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This video showcases the 4 concepts which I have learned in my coursework.
Views: 16 Bhargav Thanki
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: 75623 SAS Software
Enterprise Data Discovery with Qlik
 
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Thorogood hosted an interactive webcast on the product offerings from Qlik, including the recent release of Qlik Sense and how Qlik fits into a modern enterprise data landscape.
Views: 1257 ThorogoodBI
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: 38040 SAS Software
Decision Trees, Boosting Trees, and Random Forests: A Side-by-Side Comparison
 
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Learn about three tree-based predictive modeling techniques: decision trees, random forests, and gradient boosted trees with SAS Visual Data Mining and Machine Learning on SAS Viya . 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: 7971 SAS Software
Decision Tree & Neural Networks - SAS Enterprise Miner
 
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Data Mining Demo Video on: - Decision Tree - Neural Networks
Views: 942 Ayame Shiba
Turning Hadoop into a High-Performance Enterprise Data Warehouse
 
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Turning Hadoop into a High-Performance Enterprise Data Warehouse by Emma McGrattan, SVP of Engineering, Actian with Sandy Krishnamurthy, Engineer, Actian Funny pre-event tech-trivia: https://youtu.be/zu0zTdbaAa8 A Database Month event http://www.DBMonth.com/database/hadoop-data-warehouse Hadoop adopters typically fall into two broad categories - those who see it as a platform for big data innovation, and those who dreamed of it providing the same capabilities as an enterprise data warehouse only at a commodity price point. Big Data Innovators are thriving on the Hadoop platform, and mining and refining data at volumes that were never before possible. However, most of those who expected Hadoop to replace their enterprise data warehouse have been greatly disappointed, and in response have been building complex architectures that typically do not end up meeting their business requirements. Emma McGrattan, who has worked with data since before it became 'big', will share her unique insights into the Hadoop successes in the enterprise data warehouse space, as well as entertain you with some of the horror stories that she has encountered along the way. Emma will provide you with a checklist of factors to consider before deciding on a specific Big Data strategy, and attempt to provide a lifeboat for some of your floundering Hadoop projects. Emma K McGrattan, SVP of Engineering, Actian Corp Emma McGrattan, SVP of Engineering at Actian (http://www.actian.com/), leads the Actian Vector, Ingres and Vector in Hadoop development teams. A leading authority in DBMS technologies, Emma has over twenty-five years of experience managing, supporting and developing a variety of databases from her early days with Ingres to the current cutting-edge Actian Vector in Hadoop. Emma joined the original Ingres Corp. in 1992 and held a senior leadership role in the Ingres engineering team through a number of acquisitions. Born in Ireland, Emma earned a Bachelor of Electronic Engineering from Dublin City University. Sandy Krishnamurthy, Engineer, Actian Corp Sandhya Krishnamurthy is a seasoned hybrid-data management professional with over two decades of experience in the IT industry. She is passionate about databases and has worked on products from the mainframe era to the more cutting-edge NoSQL and GPU databases. Prior to joining Actian Corp, she been a consultant to several Fortune 1000 firms helping them design applications that leverage database technology in the best possible fashion. Her exposure spans several verticals ranging from insurance, finance, technology and database marketing, and she has worked with several other database vendors within the sector.
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: 20569 SAS Software