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Data Mining Using SAS Enterprise Miner [ Matignon, Randall ] Used - Acceptable
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Located in: Logan, Utah, United States
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Estimated between Fri, 21 Jun and Mon, 24 Jun to 43230
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eBay item number:156198940895
Item specifics
- Condition
- ISBN
- 9780470149010
- Subject Area
- Computers, Mathematics
- Publication Name
- Data Mining Using Sas Enterprise Miner
- Item Length
- 11 in
- Publisher
- Wiley & Sons, Incorporated, John
- Subject
- Mathematical & Statistical Software, Probability & Statistics / General, Databases / Data Mining
- Publication Year
- 2007
- Type
- Textbook
- Format
- Perfect
- Language
- English
- Item Height
- 1.3 in
- Item Width
- 8.6 in
- Item Weight
- 49.1 Oz
- Number of Pages
- 584 Pages
About this product
Product Information
"Data Mining Using SAS(R) Enterprise Miner" introduces the reader to a wide variety of data mining techniques in SAS(R) Enterprise Miner. This first-of-a-kind book explains the purpose of -- and reasoning behind -- every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis. Each chapter starts with a short introduction to the assortment of statistics that are generated from the various Enterprise Miner nodes, followed by detailed explanations of configuration settings that are located within each node. The end result of the author's meticulous presentation is a well crafted study guide on the various methods that one employs to both randomly sample and partition data within the process flow of SAS(R) Enterprise Miner.
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0470149019
ISBN-13
9780470149010
eBay Product ID (ePID)
59073535
Product Key Features
Publication Name
Data Mining Using Sas Enterprise Miner
Format
Perfect
Language
English
Subject
Mathematical & Statistical Software, Probability & Statistics / General, Databases / Data Mining
Publication Year
2007
Type
Textbook
Subject Area
Computers, Mathematics
Number of Pages
584 Pages
Dimensions
Item Length
11 in
Item Height
1.3 in
Item Width
8.6 in
Item Weight
49.1 Oz
Additional Product Features
LCCN
2007-005997
Intended Audience
Scholarly & Professional
LeafCats
378
Lc Classification Number
Qa76.9.D343m39 2007
Reviews
"The book provides a good account of the numerical and computational approaches used within the various nodes and explains necessary background concepts."( The American Statician, May 2009) "...a very detailed user guide." ( MAA Reviews , December 26, 2007), "The book provides a good account of the numerical and computational approaches used within the various nodes and explains necessary background concepts." ( The American Statistician, May 2009) "... a very detailed user guide." ( MAA Reviews, December 26, 2007)
Table of Content
Introduction Chapter 1: Sample Nodes 1 1.1 Input Data Source Node 3 1.2 Sampling Node 32 1.3 Data Partition Node 45 Chapter 2: Explore Nodes 55 2.1 Distribution Explorer Node 57 2.2 Multiplot Node 64 2.3 Insight Node 74 2.4 Association Node 75 2.5 Variable Selection Node 99 2.6 Link Analysis Node 120 Chapter 3: Modify Nodes 153 3.1 Data Set Attributes Node 155 3.2 Transform Variables Node 160 3.3 Filter Outliers Node 169 3.4 Replacement Node 178 3.5 Clustering Node 192 3.6 SOMiKohonen Node 227 3.7 Time Series Node 248 3.8 Interactive Grouping Node 261 Chapter 4: Model Nodes 277 4.1 Regression Node 279 4.2 Model Manager 320 4.3 Tree Node 324 4.4 Neural Network Node 355 4.5 PrincompiDmneural Node 420 4.6 User Defined Node 443 4.7 Ensemble Node 450 4.8 Memory-Based Reasoning Node 460 4.9 Two Stage Node 474 Chapter 5: Assess Nodes 489 5.1 Assessment Node 491 5.2 Reporter Node 511 Chapter 6: Scoring Nodes 515 6.1 Score Node 517 Chapter 7: Utility Nodes 525 7.1 Group Processing Node 527 7.2 Data Mining Database Node 537 7.3 SAS Code Node 541 7.4 Control point Node 552 7.5 Subdiagram Node 553 References 557 Index 560
Copyright Date
2007
Dewey Decimal
005.74
Dewey Edition
22
Illustrated
Yes
Item description from the seller
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eBay item number:156198940895
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Logan, Utah, United States
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