Applications of Outlier Analysis文档.pdf

Chapter 12 APPLICATIONS OF OUTLIER ANALYSIS “The study and knowledge of the universe would somehow be lame and defective, were no practical results to follow.”– Marcus Tullius Cicero 1. Introduction Outlier analysis has numerous applications in a wide variety of do- mains such as the financial industry, quality control, fault diagnosis, intrusion detection, web analytics, and medical diagnosis. The applica- tions of outlier analysis are so diverse, that it is impossible to cover all possibilities exhaustively in a single chapter. Therefore, the goal of this chapter is cover a wide spectrum of problem domains at a higher level, and how they map to the different techniques covered in this book. The practical issues and challenges in the context of real data sets will also be covered. This will provide a broader understanding of the issues in- volved in problem domain to technique mapping. The main applications domains covered in this chapter are as follows: Quality Control Applications Financial Applications Web Log Analytics Intrusion Detection Applications Medical Applications Text and Social Media Applications Earth Science Applications C.C. Aggarwal, Outlier Analysis, DOI 10.1007/978- 1-4614-6396-2_12, 373 © Springer Science+Business Media New York 2013 374 OUTLIER ANALYSIS In addition, a section will also be devoted to miscellaneous types of data, such as images and trajectory data. Within each domain and problem formulation, the diversity of the problems and data types are significant. Therefore, a few “core” formulations will be studied for each application domain, rather than the wide gamut of specific and detailed variations. The formulations will be mapped to broad classes of tech- niques covered in this book. The goa