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Verlag: Rowman & Littlefield Publishers, 1984
ISBN 10: 0865981086ISBN 13: 9780865981089
Buch
Zustand: Very Good. Very Good condition. Good dust jacket. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp. Bundled media such as CDs, DVDs, floppy disks or access codes may not be included.
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Gebraucht ab EUR 5,77
Verlag: Springer New York, 2004
ISBN 10: 0387954333ISBN 13: 9780387954332
Anbieter: Better World Books, Mishawaka, IN, USA
Buch
Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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Gebraucht ab EUR 6,50
Verlag: Morgan Kaufmann Publishers Inc. 01/08/1997, 1997
ISBN 10: 1558604030ISBN 13: 9781558604032
Anbieter: AwesomeBooks, Wallingford, Vereinigtes Königreich
Buch
Zustand: Very Good. This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping. .
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Neu ab EUR 99,83
Gebraucht ab EUR 4,06
Mehr entdecken Softcover
Verlag: Rowman & Allanheld, NJ, 1984
Anbieter: Between the Covers-Rare Books, Inc. ABAA, Gloucester City, NJ, USA
Erstausgabe
Hardcover. Zustand: Fine. Zustand des Schutzumschlags: Fine. First edition. Fine in fine dustwrapper. Name stamped inside front cover and on text edge. Please Note: This book has been transferred to Between the Covers from another database and might not be described to our usual standards. Please inquire for more detailed condition information.
Verlag: Pearson Education, 1990
ISBN 10: 1558600655ISBN 13: 9781558600652
Anbieter: Better World Books, Mishawaka, IN, USA
Buch Erstausgabe
Zustand: Very Good. 1st Edition. Used book that is in excellent condition. May show signs of wear or have minor defects.
Verlag: Springer London, 2016
ISBN 10: 1447171136ISBN 13: 9781447171133
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has been thoroughly revised and expanded with new material on deep learning, graph models, mining social media, errors and pitfalls in big data evaluation, Twitter sentiment analysis, and dependency parsing discussion. The fully updated content also features in-depth discussions on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Features: includes chapter summaries and exercises; explores the application of each method; provides several case studies; contains links to free text-mining software.
Verlag: Springer London, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - One consequence of the pervasive use of computers is that most documents originate in digital form. Widespread use of the Internet makes them readily available. Text mining - the process of analyzing unstructured natural-language text - is concerned with how to extract information from these documents.Developed from the authors' highly successful Springer reference on text mining, Fundamentals of Predictive Text Mining is an introductory textbook and guide to this rapidly evolving field. Integrating topics spanning the varied disciplines of data mining, machine learning, databases, and computational linguistics, this uniquely useful book also provides practical advice for text mining. In-depth discussions are presented on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Background on data mining is beneficial, but not essential. Where advanced concepts are discussed that require mathematical maturity for a proper understanding, intuitive explanations are also provided for less advanced readers.Topics and features: presents a comprehensive, practical and easy-to-read introduction to text mining; includes chapter summaries, useful historical and bibliographic remarks, and classroom-tested exercises for each chapter; explores the application and utility of each method, as well as the optimum techniques for specific scenarios; provides several descriptive case studies that take readers from problem description to systems deployment in the real world; includes access to industrial-strength text-mining software that runs on any computer; describes methods that rely on basic statistical techniques, thus allowing for relevance to all languages (not just English); contains links to free downloadable software and other supplementary instruction material.Fundamentals of Predictive Text Mining is an essential resource for IT professionalsand managers, as well as a key text for advanced undergraduate computer science students and beginning graduate students.Dr. Sholom M. Weiss is a Research Staff Member with the IBM Predictive Modeling group, in Yorktown Heights, New York, and Professor Emeritus of Computer Science at Rutgers University. Dr. Nitin Indurkhya is Professor at the School of Computer Science and Engineering, University of New South Wales, Australia, as well as founder and president of data-mining consulting company Data-Miner Pty Ltd. Dr. Tong Zhang is Associate Professor at the Department of Statistics and Biostatistics at Rutgers University, New Jersey.
Verlag: Springer London, 2015
ISBN 10: 144716749XISBN 13: 9781447167495
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Serving also as a practical guide, this unique book provides helpful advice illustrated by examples and case studies. This highly anticipated second edition has been thoroughly revised and expanded with new material on deep learning, graph models, mining social media, errors and pitfalls in big data evaluation, Twitter sentiment analysis, and dependency parsing discussion. The fully updated content also features in-depth discussions on issues of document classification, information retrieval, clustering and organizing documents, information extraction, web-based data-sourcing, and prediction and evaluation. Features: includes chapter summaries and exercises; explores the application of each method; provides several case studies; contains links to free text-mining software.
Verlag: Springer New York, 2010
ISBN 10: 1441929967ISBN 13: 9781441929969
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.
Verlag: New York, Springer, 2005
Anbieter: Antiquariat Thomas Haker GmbH & Co. KG, Berlin, Deutschland
Verbandsmitglied: GIAQ
Buch
Hardcover. 237 Seiten Guter Zustand / good condition. Bibl.-Ex. / Ex.-library. As library copy in very good condition. Sprache: Englisch Gewicht in Gramm: 695.