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xviii Contents HAN 03-toc-ix-xviii-9780123814791 2011/6/1 3:32 Page xviii #10

12.7.2 Modeling Normal Behavior with Respect to Contexts 574
12.7.3 Mining Collective Outliers 575
12.8 Outlier Detection in High-Dimensional Data 576
12.8.1 Extending Conventional Outlier Detection 577
12.8.2 Finding Outliers in Subspaces 578
12.8.3 Modeling High-Dimensional Outliers 579
12.9 Summary 581
12.10 Exercises 582
12.11 Bibliographic Notes 583
Chapter 13 Data Mining Trends and Research Frontiers 585
13.1 Mining Complex Data Types 585
13.1.1 Mining Sequence Data: Time-Series, Symbolic Sequences,
and Biological Sequences 586
13.1.2 Mining Graphs and Networks 591
13.1.3 Mining Other Kinds of Data 595
13.2 Other Methodologies of Data Mining 598
13.2.1 Statistical Data Mining 598
13.2.2 Views on Data Mining Foundations 600
13.2.3 Visual and Audio Data Mining 602
13.3 Data Mining Applications 607
13.3.1 Data Mining for Financial Data Analysis 607
13.3.2 Data Mining for Retail and Telecommunication Industries 609
13.3.3 Data Mining in Science and Engineering 611
13.3.4 Data Mining for Intrusion Detection and Prevention 614
13.3.5 Data Mining and Recommender Systems 615
13.4 Data Mining and Society 618
13.4.1 Ubiquitous and Invisible Data Mining 618
13.4.2 Privacy, Security, and Social Impacts of Data Mining 620
13.5 Data Mining Trends 622
13.6 Summary 625
13.7 Exercises 626
13.8 Bibliographic Notes 628

Bibliography 633
Index 673