A good new book
Preface............................................................................................................ xv
About the Authors.........................................................................................xxi
Acknowledgments...................................................................................... xxiii
Chapter 1
Introduction............................................................................... 1
1.1 Trends................................................................................................1
1.2 Data Mining Techniques and Applications........................................2
1.3 Data Mining for Cyber Security: Intrusion Detection........................2
1.4 Data Mining for Web: Web Page Surfing Prediction..........................3
1.5 Data Mining for Multimedia: Image Classification............................4
1.6 Organization of This Book.................................................................5
1.7 Next Steps..........................................................................................5
Part I Data Mining Techniques
and App lic ations
Introduction to Part I....................................................................................9
Chapter 2
Data Mining Techniques............................................................ 11
2.1 Introduction.....................................................................................11
2.2 Overview of Data Mining Tasks and Techniques.............................12
2.3 Artificial Neural Networks...............................................................13
2.4 Support Vector Machines.................................................................16
2.5 Markov Model.................................................................................19
2.6 Association Rule Mining (ARM).....................................................22
2.7 Multiclass Problem...........................................................................25
Chapter 16
Image Classification and Performance Analysis....................... 195
16.1 Introduction...................................................................................195
16.2 Classifiers.......................................................................................196
16.2.1 K-Nearest Neighbor Algorithm.........................................196
16.2.2 Distance Weighted KNN (DWKNN)..............................196
16.2.3 Fuzzy KNN.......................................................................197
16.2.4 Nearest Prototype Classifier (NPC)..................................198
16.3 Evidence Theory and KNN............................................................198
16.3.1 Dempster–Shafer Evidence Theory...................................198
16.3.2 Evidence-Theory-Based KNN (EKNN)............................199
16.3.3 Density-Based EKNN (DEKNN)....................................202
16.4 Experiment Results........................................................................203
16.4.1 ImageCLEFmed 2006 Dataset..........................................203
16.4.2 Imbalanced Data Problem.................................................203
16.4.3 Results.............................................................................. 206
16.6 Discussion......................................................................................212
16.6.1 Enhancement: Spatial Association Rule Mining................212
16.6.2 WordNet and Semantic Similarity....................................213
16.6.3 Domain Knowledge.......................................................... 215
16.7 Summary and Directions............................................................... 215
References................................................................................................. 215
Chapter 17
Summary and Directions......................................................... 217
17.1 Overview........................................................................................ 217
17.2 Summary of This Book.................................................................. 217
17.3 Directions for Data Mining Tools................................................. 220
17.4 Where Do We Go from Here?....................................................... 222
Conclusion to Part IV...............................................................................223
APPENDIX A........................................................................... 225
Data Management Systems: Developments and Trends........... 227
A.1 Overview........................................................................................227
A.2 Developments in Database Systems............................................... 228
A.3 Status, Vision, and Issues................................................................232
A.4 Data Management Systems Framework..........................................233
A.5 Building Information Systems from the Framework.......................236
A.6 Relationships among the Texts.......................................................239
A.7 Summary and Directions...............................................................241
References.................................................................................................241
Index............................................................................................................