Del i serien Texts in Computer Science

Fundamentals of Predictive Text Mining

Inbunden, Engelska, 2015

AvSholom M. Weiss,Nitin Indurkhya,Tong Zhang

989 kr

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This successful textbook on predictive text mining offers a unified perspective on a rapidly evolving field, integrating topics spanning the varied disciplines of data science, machine learning, databases, and computational linguistics.

Produktinformation

Utgivningsdatum2015-09-14
Mått155 x 235 x 19 mm
Vikt530 g
FormatInbunden
SpråkEngelska
SerieTexts in Computer Science
Antal sidor239
Upplaga2
FörlagSpringer London Ltd
ISBN9781447167495

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Dr. Sholom M. Weiss is a Professor Emeritus of Computer Science at Rutgers University, a Fellow of the Association for the Advancement of Artificial Intelligence, and co-founder of AI Data-Miner LLC, New York.Dr. Nitin Indurkhya is faculty member at the School of Computer Science and Engineering, University of New South Wales, Australia, and the Institute of Statistical Education, Arlington, VA, USA. He is also a co-founder of AI Data-Miner LLC, New York.Dr. Tong Zhang is a Professor of Statistics and Biostatistics at Rutgers University.

"Fundamentals of predictive text mining is a second edition that is designed as a textbook, with questions and exercises in each chapter. ... The book can be used with data mining software for hands-on experience for students. ... The book will be very useful for people planning to go into this field or to learn techniques that could be used in a big data environment." (S. Srinivasan, Computing Reviews, February, 2016)