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Editore: Springer, 2010
ISBN 10: 1849962251ISBN 13: 9781849962254
Da: SecondSale, Montgomery, IL, U.S.A.
Libro
Condizione: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Editore: Springer Verlag, 2010
ISBN 10: 1849962251ISBN 13: 9781849962254
Da: HPB-Emerald, Dallas, TX, U.S.A.
Libro
hardcover. Condizione: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!.
Editore: Springer Verlag, 2010
ISBN 10: 1849962251ISBN 13: 9781849962254
Da: Irish Booksellers, Portland, ME, U.S.A.
Libro
Condizione: Good. SHIPS FROM USA. Used books have different signs of use and do not include supplemental materials such as CDs, Dvds, Access Codes, charts or any other extra material. All used books might have various degrees of writing, highliting and wear and tear and possibly be an ex-library with the usual stickers and stamps. Dust Jackets are not guaranteed and when still present, they will have various degrees of tear and damage. All images are Stock Photos, not of the actual item. book.
Editore: Springer, 2016
ISBN 10: 1447171136ISBN 13: 9781447171133
Da: HPB-Red, Dallas, TX, U.S.A.
Libro
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: HPB-Red, Dallas, TX, U.S.A.
Libro
paperback. Condizione: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: Textbooks_Source, Columbia, MO, U.S.A.
Libro
paperback. Condizione: Good. 2010th Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Editore: Springer, 2015
ISBN 10: 144716749XISBN 13: 9781447167495
Da: Textbooks_Source, Columbia, MO, U.S.A.
Libro
Hardcover. Condizione: Good. 2nd ed. 2015. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Editore: Springer, 2010
ISBN 10: 1849962251ISBN 13: 9781849962254
Da: Fergies Books, Marietta, GA, U.S.A.
Libro
Hardcover. Condizione: Fine.
Editore: Springer, 2010
ISBN 10: 1849962251ISBN 13: 9781849962254
Da: Textbooks_Source, Columbia, MO, U.S.A.
Libro
Hardcover. Condizione: Good. 2010th Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: booksXpress, Bayonne, NJ, U.S.A.
Libro
Soft Cover. Condizione: new.
Editore: Springer, 2016
ISBN 10: 1447171136ISBN 13: 9781447171133
Da: Save With Sam, North Miami, FL, U.S.A.
Libro
Paperback. Condizione: New. Brand New!.
Editore: Springer, 2015
ISBN 10: 144716749XISBN 13: 9781447167495
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: New.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: GreatBookPrices, Columbia, MD, U.S.A.
Libro
Condizione: As New. Unread book in perfect condition.
Editore: Springer London Okt 2016, 2016
ISBN 10: 1447171136ISBN 13: 9781447171133
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 256 pp. Englisch.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: Ria Christie Collections, Uxbridge, Regno Unito
Libro Print on Demand
Condizione: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Editore: Springer 2012-09, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: Chiron Media, Wallingford, Regno Unito
Libro
PF. Condizione: New.
Editore: Springer London Sep 2012, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Libro Print on Demand
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 professionals and 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. 240 pp. Englisch.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: New.
Editore: Springer, 2015
ISBN 10: 144716749XISBN 13: 9781447167495
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Editore: Springer-Verlag New York Inc, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: Revaluation Books, Exeter, Regno Unito
Libro
Paperback. Condizione: Brand New. 240 pages. 9.00x6.00x0.75 inches. In Stock.
Editore: Springer London Ltd, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
Libro Print on Demand
Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Editore: Springer London, 2016
ISBN 10: 1447171136ISBN 13: 9781447171133
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Taschenbuch. Condizione: 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.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Libro
Condizione: New. This is an introductory textbook and guide to the rapidly evolving field of predictive text mining. There are chapter summaries, historical and bibliographic remarks, and classroom-tested exercises for each chapter. Descriptive case studies are also included. Series: Texts in Computer Science. Num Pages: 240 pages, biography. BIC Classification: JPP; UGD; UNF; UNH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 12. Weight in Grams: 346. . 2012. 2010th Edition. paperback. . . . .
Editore: Springer, 2016
ISBN 10: 1447171136ISBN 13: 9781447171133
Da: Books Unplugged, Amherst, NY, U.S.A.
Libro
Condizione: New. Buy with confidence! Book is in new, never-used condition 0.68.
Editore: Springer, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: GreatBookPricesUK, Castle Donington, DERBY, Regno Unito
Libro
Condizione: As New. Unread book in perfect condition.
Editore: Springer London, 2012
ISBN 10: 1447125657ISBN 13: 9781447125655
Da: AHA-BUCH GmbH, Einbeck, Germania
Libro
Taschenbuch. Condizione: 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.
Editore: Springer London, 2016
ISBN 10: 1447171136ISBN 13: 9781447171133
Da: moluna, Greven, Germania
Libro Print on Demand
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents a comprehensive, practical and easy-to-read introduction to text miningUpdated and expanded with new content on deep learning, graph models, mining social media, and errors and pitfalls in big data evaluationIncludes chapter summaries.