By Sholom M. Weiss,Nitin Indurkhya,Tong Zhang
Developed from the authors’ hugely winning Springer reference on textual content mining, basics of Predictive textual content Mining is an introductory textbook and advisor to this swiftly evolving box. Integrating themes spanning the numerous disciplines of information mining, laptop studying, databases, and computational linguistics, this uniquely priceless e-book additionally offers sensible suggestion for textual content mining. In-depth discussions are awarded on problems with record category, info retrieval, clustering and organizing records, info extraction, web-based data-sourcing, and prediction and overview. historical past on information mining is helpful, yet now not crucial. the place complicated recommendations are mentioned that require mathematical adulthood for a formal knowing, intuitive motives also are supplied for much less complicated readers.
Topics and contours: offers a finished, functional and easy-to-read advent to textual content mining; comprises bankruptcy summaries, necessary historic and bibliographic comments, and classroom-tested routines for every bankruptcy; explores the applying and software of every strategy, in addition to the optimal suggestions for particular situations; presents a number of descriptive case stories that take readers from challenge description to structures deployment within the genuine global; comprises entry to industrial-strength text-mining software program that runs on any desktop; describes equipment that depend upon uncomplicated statistical thoughts, hence taking into consideration relevance to all languages (not simply English); includes hyperlinks to unfastened downloadable software program and different supplementary guide material.
Fundamentals of Predictive textual content Mining is a necessary source for IT execs and executives, in addition to a key textual content for complex undergraduate laptop technology scholars and starting graduate students.
Dr. Sholom M. Weiss is a study employees Member with the IBM Predictive Modeling team, in Yorktown Heights, big apple, and Professor Emeritus of laptop technology at Rutgers collage. Dr. Nitin Indurkhya is Professor on the institution of desktop technology and Engineering, collage of recent South Wales, Australia, in addition to founder and president of data-mining consulting corporation Data-Miner Pty Ltd. Dr. Tong Zhang is affiliate Professor on the division of facts and Biostatistics at Rutgers collage, New Jersey.
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Fundamentals of Predictive Text Mining (Texts in Computer Science) by Sholom M. Weiss,Nitin Indurkhya,Tong Zhang