principles data mining von bramer max (23 Ergebnisse)

Zustand: Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.

Zustand: Very Good. Used book that is in excellent condition. May show signs of wear or have minor defects.

Zustand: Very Good. 1st Edition. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.

Paperback. Zustand: 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.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

paperback. Zustand: Good. The binding is creased. The copy shows minor external wear, but is in otherwise clean condition.

paperback. Zustand: Very Good. Cover and edges may have some wear.

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. pp. 16.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: 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.

Zustand: New. pp. 456 101 Illus.

Zustand: Bon. Attention: Ancien support de bibliothèque, plastifié, étiquettes. Merci, votre achat aide à financer des programmes de lutte contre l'illettrisme.

Zustand: New.

1. Ed. kart., 24 cm, 343 S.; die Seiten 6,12,13,14,19,25,27,und 28 sind im Text mit Markerhinterlegungen, meist nur kurz ein oder 2 Worte bzw. ein Satzteil od. web-Hinweis, ansonsten ist das Buch im guten Zustand [auch für das Selbststudium geeignet] // UNDERGRADUATE TOPICS in COMPUTER SCIENCE Undergraduate Topics in Computer Science (UTiCS) delivers high-quality instructional content for undergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications, UTiCS books take a fresh, concise, and modern approach and are ideal for self-study or for a one- or two-semester course. The texts are all authored by established experts in their fields, reviewed by an international advisory board, and contain numerous examples and problems. Many include fully worked solutions. Max Bramer Principles of Data Mining Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering. lt is written for readers without a strong background in mathematics or statistics and focuses an detailed examples & explanations of the algorithms given. lt 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, this book aims to help the general reader develop the necessary understanding to use commercial data mining packages discriminatingly, as well as enabling the advanced reader or academic researcher 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. (Deckeltext) Z34532I5 ISBN 9781846287657 Gemäß §19 UStG weist dieser Verkäufer keine Mehrwertsteuer aus (Kleinunternehmerstatus). Aufgrund der EPR-Regelung kann in folgende Länder KEINE LIEFERUNG mehr erfolgen: Bulgarien, Finnland, Frankreich, Griechenland, Luxemburg, Österreich, Polen, Rumänien, Schweden, Slowakei, Spanien Sprache: Deutsch Gewicht in Gramm: 600.

Paperback. Zustand: Brand New. 4th edition. 571 pages. 9.00x6.00x1.25 inches. In Stock.

Zustand: 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.

Taschenbuch. Zustand: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 588 pp. Englisch.

Taschenbuch. Zustand: 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.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 343 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: Gut. Zustand: Gut | Seiten: 343 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.