Produktbild
Zheng Alan Zhao

Spectral Feature Selection for Data Mining

Buch

Spectral feature selection is a state-of-the-art technique based on spectral graph theory. This book provides a comprehensive introduction to spectra, including its theoretical foundations, connections to existing feature selection and extraction algorithms, and its applications in solving novel real-world problems in feature selection. It covers general feature selection and feature extraction concepts, the most popular existing algorithms, and recent research developments. The text also includes precise definitions, a number of illustrative figures, and plenty of examples, along with slides, source code, and data on a supporting website.

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Produktdetails


Weitere Autoren: Liu, Huan
  • ISBN: 978-1-4398-6209-4
  • EAN: 9781439862094
  • Produktnummer: 23115385
  • Verlag: Taylor and Francis
  • Sprache: Englisch
  • Erscheinungsjahr: 2011
  • Seitenangabe: 220 S.
  • Masse: H23.4 cm x B15.6 cm 570 g
  • Abbildungen: Farb., s/w. Abb.
  • Gewicht: 570

Über den Autor


Zheng Zhao is a research statistician at the SAS Institute, Inc. His recent research focuses on designing and developing novel analytic approaches for handling large-scale data of extremely high dimensionality. Dr. Zhao is the author of PROC HPREDUCE, which is a SAS High Performance Analytics procedure for large-scale parallel variable selection. He was co-chair of the 2010 PAKDD Workshop on Feature Selection in Data Mining. He earned a Ph.D. in computer science and engineering from Arizona State University. Huan Liu is a professor of computer science and engineering at Arizona State University. Dr. Liu serves on journal editorial boards and conference program committees and is a founding organizer of the International Conference Series on Social Computing, Behavioral-Cultural Modeling, and Prediction. He earned a Ph.D. in computer science from the University of Southern California. With a focus on data mining, machine learning, social computing, and artificial intelligence, his research investigates problems in real-world application with high-dimensional data of disparate forms, such as social media, group interaction and modeling, data preprocessing, and text/web mining.

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