data mining anwendertag - sas institute...5. k-means clustering in sas –comparing proc fastclus...
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C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im Überblick
DATA MINING
ANWENDERTAG
2015
EINE GEMEINDE STELLT SICH VOR
TAMARA FISCHER, ANALYTICS EXPERT
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYAGENDA
• https://communities.sas.com/
• Tipps&Tricks (Auswahl)
• „Customize SAS® Enterprise Miner™ Node Results“…
• „Making Recommendations Using SAS® Enterprise
Miner™ Link Analysis Node“
• „Spectral Clustering in SAS® Enterprise Miner™ Using
Open Source Integration Node“
• Weitere Tipps&Tricks (Auswahl)
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im ÜberblickSAS DATA MINING
COMMUNITYCUSTOMIZE SAS® ENTERPRISE MINER™ NODE RESULTS
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im ÜberblickSAS DATA MINING
COMMUNITYLIVE DEMONSTRATION
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYBEISPIEL 1
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYBEISPIEL 1
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYBEISPIEL 2
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYBEISPIEL 2
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYBEISPIEL 3
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYBEISPIEL 3
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im ÜberblickSAS DATA MINING
COMMUNITY
MAKING RECOMMENDATIONS USING SAS® ENTERPRISE MINER™
LINK ANALYSIS NODE
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYLINK ANALYSIS KNOTEN ALS RECOMMENDATION SYSTEM
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im ÜberblickSAS DATA MINING
COMMUNITYLIVE DEMONSTRATION
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im ÜberblickSAS DATA MINING
COMMUNITY
SPECTRAL CLUSTERING IN SAS® ENTERPRISE MINER™ USING OPEN
SOURCE INTEGRATION NODE
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYR INTEGRATION ÜBERBLICK
Properties
Supervised
PMML
• k-means Clustering
(kmeans (stats))
• SAS Score Code
• SAS Metadata
Registration
Merge
• Nearly any supervised R
model
• Assessment via Model
Import Node
• No SAS Score Code
• No SAS Metadata
Registration
Output Mode Output Mode
Training Mode
Unsupervised
PMML
• Linear Models (lm)
• Multinomial Log-Linear
Models (multinom (nnet))
• Generalized Linear Models
(glm (stats))
• Decision Trees (rpart)
• Neural Networks (nnet)
• SAS Score Code
• SAS Metadata Registration
Merge
• Nearly any unsupervised R
model
• No SAS Score Code
• No registration SAS
Metadata
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITY
VERGLEICH VON R MODELLEN MIT ENTERPRISE MINER
MODELLEN
R MODELS PMML + MERGE
SAS MODELS
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im ÜberblickSAS DATA MINING
COMMUNITYLIVE DEMONSTRATION
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im ÜberblickSAS DATA MINING
COMMUNITYWEITERE TIPPS&TRICKS
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYWEITERE TIPPS&TRICKS
1. How to Execute a Python Script in SAS® Enterprise Miner™
2. Open Source Integration Using the Base SAS Java Object
3. How to Model a Rare Target Using an Oversample Approach in SAS®
Enterprise Miner™
4. How to Derive New Variables for Better Predictive Models
5. K-means Clustering in SAS – Comparing PROC FASTCLUS and PROC
HPCLUS
6. Using High-Performance Data Mining Nodes in Group Processing Flows
7. How to Create Models with Text Data Using SAS® Enterprise Miner™
8. How to Apply Path Analysis in SAS® Enterprise Miner™ to Gain Insight
into Sequential Behaviors
9. Getting the Most From Your Random Forest
10.Getting Started with Survival Data Mining in SAS® Enterprise Miner™
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYINFORMATIONEN
• SAS Graphics Samples Output Gallery
• http://support.sas.com/sassamples/graphgallery/index.html
• Tip: Customize SAS® Enterprise Miner™ Node Results
• https://communities.sas.com/t5/SAS-Data-Mining-
Library/Tip-Customize-SAS-Enterprise-Miner-Node-
Results/ta-p/221153
• Tip: Saving ODS Graphics in a SAS Code Node
• https://communities.sas.com/t5/SAS-Data-Mining-
Library/Tip-Saving-ODS-Graphics-in-a-SAS-Code-Node/ta-
p/221195
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS DATA MINING
COMMUNITYINFORMATIONEN
• Tip: Spectral Clustering in SAS® Enterprise Miner™
Using Open Source Integration Node
• https://communities.sas.com/t5/SAS-Data-Mining-
Library/Tip-Spectral-Clustering-in-SAS-Enterprise-Miner-
Using-Open/ta-p/221665
• Tip: Making Recommendations Using SAS® Enterprise
Miner™
• https://communities.sas.com/t5/SAS-Data-Mining-
Library/Tip-Making-Recommendations-Using-SAS-
Enterprise-Miner-Link/ta-p/221159
• http://support.sas.com/rnd/app/data-mining/enterprise-
miner/papers/2014/linkAnalysis2014.pdf
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS im ÜberblickSAS DATA MINING
COMMUNITYFRAGEN
C op yr i g h t © 2015 , SAS Ins t i t u te Inc . A l l r i g h ts r eser v ed .
SAS Institute GmbH
In der Neckarhelle 162
69118 Heidelberg
www.sas.de
Tamara Fischer
Sr Solutions Architect –
CoE DACH Analytical Platform
Tel. +49 6221-415-2051
VIELEN DANK!