Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Zustand: Good. Good condition international edition textbook.
Anbieter: SellOnline2020, PLAISTOW, NH, USA
Soft cover. Zustand: New. 2nd Edition. Brand New International Edition textbook. Some book may show sales disclaimer such as "Not for Sale or Restricted in US" on the cover page but it is absolutely legal to use in US or Canada. Ship from Multiple Locations, including Asia , Hong Kong ,Taiwan , US or Canada depend on stock location.
Anbieter: SellOnline2020, PLAISTOW, NH, USA
Soft cover. Zustand: New. 2nd Edition. Brand New International Edition textbook. Some book may show sales disclaimer such as "Not for Sale or Restricted in US" on the cover page but it is absolutely legal to use in US or Canada. Ship from Multiple Locations, including Asia , Hong Kong ,Taiwan , US or Canada depend on stock location.
EUR 99,21
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Introduction to Data Mining, Second Edition, is intended for use in the Data Mining course. Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thorough.
Verlag: Pearson Education Limited, 2019
ISBN 10: 0273769227 ISBN 13: 9780273769224
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Gut. Zustand: Gut | Sprache: Englisch | Produktart: Bücher.
Verlag: Pearson Education Limited, 2019
ISBN 10: 0273769227 ISBN 13: 9780273769224
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Verlag: Pearson, Pearson International, 2019
ISBN 10: 0273769227 ISBN 13: 9780273769224
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Sonstige Video. Zustand: Neu. Neuware - Introduction to Data Mining presents fundamental concepts and algorithms for those learning data mining for the first time. Each concept is explored thoroughly and supported with numerous examples. The text requires only a modest background in mathematics. Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.