What s new in SAS Enterprise Miner 13.1 and Beyond SAS Talks February 20, 2014

Transcription

1 What s new in SAS Enterprise Miner 13.1 and Beyond SAS Talks February 20, 2014

2 WHAT S NEW IN SAS ENTERPRISE MINER 13.1 AND BEYOND JONATHAN WEXLER

3 SPEAKERS Jonathan Wexler Principal Product Manager SAS Institute Stacy Hobson Director, Customer Loyalty SAS Institute

4 AGENDA SAS TALKS OVERVIEW SAS Enterprise Miner 13.1 release themes Quick run-through release highlights SAS Enterprise Miner 13.1 demo Forward looking: Browser-based demo

5 INNOVATIVE RELEASE PROVIDES NEW DATA MINING FEATURES Machine Learning HP Random Forest HP Support Vector Machines* HP Neural HP Cluster* Scalability HP Principal Comp* HP Generalized Linear Models* HP Bayesian Networks* Time Series Data Mining (3)* Productivity Open Source Integration* Register Models* Save Data* Clustered Mid-Tier SAS Enterprise Miner 13.1** * Denotes new node or procedure ** Shipped in December 2013, requires Base SAS 9.4M1

6 SCALABLE IN- MEMORY ANALYTICS SAS HIGH-PERFORMANCE DATA MINING Use all of your data: Hadoop, Pivotal (Greenplum), Oracle, Teradata Model Extensively Iteratively, Frequently Make Informed Decisions

7 COMPLETE LIST OF SAS ENTERPRISE MINER 13.1 NODES

8 COMPLETE LIST OF SAS ENTERPRISE MINER 13.1 NODES

9 SAS ENTERPRISE MINER 13.1 OPEN SOURCE INTEGRATION NODE (R SUPPORT) Enables users to integrate R code (supervised and unsupervised models) inside a SAS Enterprise Miner process flow diagram Provides flexibility to include R code within a data mining flow, using SAS Enterprise Miner for data prep, R for modeling, and then SAS Enterprise Miner for deployment Includes R models in assessment of models generated by SAS Enterprise Miner and, in some R-generated PMML (Predictive Model Markup Language) cases, corresponding SAS DATA step scoring code

10 SAS ENTERPRISE MINER 13.1 HP SUPPORT VECTOR MACHINE NODE Enables the creation of linear and nonlinear support vector machine models Constructs separating hyperplanes that maximize the margin between two classes Enables use of a variety of kernels: linear, polynomial, radial basis function, and sigmoid function. The node also provides interior point and active set optimization methods.

11 SAS ENTERPRISE MINER 13.1 HP GENERALIZED LINEAR MODEL NODE Uses the high-performance HPGENSELECT procedure to fit a generalized linear model in a threaded or distributed computing environment Several response probability distributions and link functions are available Provides model selection methods

12 SAS ENTERPRISE MINER 13.1 HP PRINCIPAL COMPONENTS AND CLUSTER NODES Perform principal component analysis for data dimension reduction, a frequent intermediate step in the data mining process Perform k-means clustering analysis in threaded and distributed computing environments, using numeric interval variables as inputs

13 SAS ENTERPRISE MINER 13.1 HIGH-PERFORMANCE BAYESIAN NETWORK PROCEDURE Analyzes different types of Bayesian network structures, including naive, tree-augmented naive (TAN), Bayesian network-augmented naive (BAN), parent-child Bayesian network, and Markov blanket Performs efficient variable selection through independence tests, and automatically selects the best model from the specified parameters

14 SAS ENTERPRISE MINER 13.1 TIME SERIES DATA MINING NODES Time Series Dimension Reduction node extracts features from each time series and reduces the dimension of time Time Series Correlation node helps you perform correlation and cross-correlation analyses Time Series Decomposition node enables you to perform seasonal decomposition of time series

15 SAS ENTERPRISE MINER 13.1 REGISTER MODEL AND SAVE DATA NODES Enables you to register segmentation, classification, or prediction models to the SAS Metadata Server accessed by Model Manager, SAS Enterprise Miner, Web Services, and so on Enables you to export data as a SAS data set, JMP table, Excel spreadsheet, CSV file, or tabdelimited file

16 DEMO SAS ENTERPRISE MINER

17 SAS ENTERPRISE MINER 13.1 RESOURCES SAS Predictive Analytics and Data Mining SAS Enterprise Miner Documentation SAS Enterprise Miner Online Community (Please join!)

18 SUPPORT.SAS.COM sas.com

19 Join us at SAS Global Forum 2014 Washington, D.C. March 23-26, Register today! Presidents Day Special through Feb. 21 Buy one, bring a colleague for 50% off. Follow us on #SASGF14

20 Thank You sas.com