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By Charu C. Aggarwal

This ebook offers finished insurance of the sphere of outlier research from a working laptop or computer technological know-how perspective. It integrates tools from facts mining, desktop studying, and statistics in the computational framework and consequently appeals to a number of groups. The chapters of this e-book might be prepared into 3 categories:
  • 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.
The moment version of this booklet is extra specific and is written to entice either researchers and practitioners. major new fabric has been additional on themes resembling kernel tools, one-class support-vector machines, matrix factorization, neural networks, outlier ensembles, time-series tools, and subspace tools. it really is written as a textbook and will be used for lecture room teaching. 

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