Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condizione: Fair. No Jacket. Former library book; Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less.
Da: Books in my Basket, New Delhi, India
EUR 12,97
Quantità: 20 disponibili
Aggiungi al carrelloSoft cover. Condizione: New. ISBN:9788184891669,Territorial restriction maybe printed on the book. This is an Int'l edition, ISBN and cover may differ from US edition, Contents same as US edition.
EUR 30,95
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Good. The binding is creased. The copy shows minor external wear, but is in otherwise clean condition.
Da: Books From California, Simi Valley, CA, U.S.A.
paperback. Condizione: Very Good. Cover and edges may have some wear.
Lingua: Inglese
Editore: Springer (edition 2nd ed. 2013), 2013
ISBN 10: 1447148835 ISBN 13: 9781447148838
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Fair. 2nd ed. 2013. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
EUR 41,14
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 4th ed. 2020. This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering.Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail.It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science.As an aid to self-study, it aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field.Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.Principles of Data Mining includes descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift. The expanded fourth edition gives a detailed description of a feed-forward neural network with backpropagation and shows how it can be used for classification.
EUR 38,81
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 29,81
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Aggiungi al carrelloCondizione: New. In.
EUR 25,83
Quantità: 10 disponibili
Aggiungi al carrelloPF. Condizione: New.
EUR 28,79
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Aggiungi al carrelloCondizione: New.
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 35,86
Quantità: 5 disponibili
Aggiungi al carrelloCondizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New. pp. 16.
Da: Majestic Books, Hounslow, Regno Unito
EUR 41,27
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 16.
EUR 32,31
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 41,94
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New. pp. 16.
EUR 48,57
Quantità: 1 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: Chiron Media, Wallingford, Regno Unito
EUR 48,56
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Books Puddle, New York, NY, U.S.A.
Condizione: New.
Da: Majestic Books, Hounslow, Regno Unito
EUR 73,88
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Da: GoldBooks, Denver, CO, U.S.A.
Paperback. Condizione: new. New Copy. Customer Service Guaranteed.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 77,13
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer-Nature New York Inc, 2020
ISBN 10: 1447174925 ISBN 13: 9781447174929
Da: Revaluation Books, Exeter, Regno Unito
EUR 83,07
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 4th edition. 571 pages. 9.00x6.00x1.25 inches. In Stock.
EUR 56,43
Quantità: 1 disponibili
Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Presents the principal techniques of data mining with particular emphasis on explaining and motivating the techniques usedEach topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked ex.
EUR 34,45
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback. Condizione: New. 4th ed. 2020. This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering.Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail.It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science.As an aid to self-study, it aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field.Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.Principles of Data Mining includes descriptions of algorithms for classifying streaming data, both stationary data, where the underlying model is fixed, and data that is time-dependent, where the underlying model changes from time to time - a phenomenon known as concept drift. The expanded fourth edition gives a detailed description of a feed-forward neural network with backpropagation and shows how it can be used for classification.
EUR 50,35
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Principles of Data Mining | Max Bramer | Taschenbuch | Undergraduate Topics in Computer Science | xvi | Englisch | 2020 | Springer | EAN 9781447174929 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 57,57
Quantità: 3 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering.Each topic is clearly explained, with a focus on algorithms not mathematical formalism, and is illustrated by detailed worked examples. The book is written for readers without a strong background in mathematics or statistics and any formulae used are explained in detail.It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science.As an aid to self-study, it aims to help general readers develop the necessary understanding of what is inside the 'black box' so they can use commercial data mining packages discriminatingly, as well as enabling advanced readers or academic researchers to understand or contribute to future technical advances in the field.Each chapter has practical exercises to enable readers to check their progress. A full glossary of technical terms used is included.Principles of Data Mining includes descriptions of algorithms for classifying streaming data, bothstationary data, where the underlying model is fixed, and data that istime-dependent, where the underlying model changes from time to time - a phenomenon known asconcept drift. The expanded fourth edition gives a detailed description of a feed-forward neural network with backpropagation and shows how it can be used for classification.