By Charu C. Aggarwal
- Basic algorithms: Chapters 1 via 7 speak about the basic algorithms for outlier research, together with probabilistic and statistical equipment, linear equipment, proximity-based tools, high-dimensional (subspace) equipment, ensemble equipment, and supervised methods.
- Domain-specific tools: Chapters eight via 12 speak about outlier detection algorithms for numerous domain names of knowledge, reminiscent of textual content, specific facts, time-series information, discrete series facts, spatial information, and community data.
- Applications: bankruptcy thirteen is dedicated to varied functions of outlier research. a few assistance can be supplied for the practitioner.
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