Cover & Table of Contents Data Mining; Concepts, Models, Methods, and Algorithms (2nd Edition).pdf

DATA MINING Concepts, Models, Methods, and Algorithms IEEE Press 445 Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../..data mining; concepts, models, methods, and algorithms..

  0 Size: 471 KB Pages: 16 Date: 2012-11-10

 

Chapter 12 Advances In Data Mining.pdf

328 Chapter Objectives  Analyze the characteristics of graph - mining algorithms and introduce some illustrative examples.  Identify the required changes in data - mining.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../..data mining.pdf

  0 Size: 3.3 MB Pages: n/a Date: 2012-02-09

 

Appendix B; Data Mining Applications.pdf

496 Many businesses and scientiÞ c communities are currently employing data - mining tech- nology. Their number continues to grow, as more and more.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../..data-mining..

  0 Size: 606 KB Pages: n/a Date: 2012-02-06

 

Chapter 5 Statistical Methods.pdf

140 Chapter Objectives  Explain methods of statistical inference commonly used in data - mining applications.  Identify different statistical parameters for assessing.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../..methods.pdf

  0 Size: 1.9 MB Pages: n/a Date: 2012-06-18

 

Chapter 3 Data Reduction.pdf

53 Chapter Objectives  Identify the differences in dimensionality reduction based on features, cases, and reduction of value techniques.  Explain the advantages of data reduction.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../..data..

  0 Size: 1.6 MB Pages: n/a Date: 2012-06-10

 

Chapter 15 Visualization Methods.pdf

447 Chapter Objectives  Recognize the importance of a visual - perception analysis in humans to discover appropriate data - visualization techniques.  Distinguish between scienti.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../..methods.pdf

  0 Size: 1 MB Pages: n/a Date: 2012-06-08

 

Chapter 14 Fuzzy Sets And Fuzzy Logic.pdf

414 Chapter Objectives  Explain the concept of fuzzy sets with formal interpretation in continuous and discrete domains.  Analyze the characteristics of fuzzy sets.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../..and..

  0 Size: 1.8 MB Pages: n/a Date: 2012-11-21

 

Chapter 8 Ensemble Learning.pdf

235 Chapter Objectives  Explain the basic characteristics of ensemble learning methodologies.  Distinguish between the different implementations of combination schemes for different learners.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../...

  0 Size: 762 KB Pages: n/a Date: 2012-06-25

 

Chapter 10 Association Rules.pdf

280 Chapter Objectives  Explain the local modeling character of association - rule techniques.  Analyze the basic characteristics of large transactional databases.  Describe.

ebooks.narotama.ac.id/.../data mining; concepts, models, methods, and algorithms../...

  0 Size: 1 MB Pages: n/a Date: 2012-06-16