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Aggiungi al carrelloSoftcover. Condizione: As New. Leichte Kratzer / Abnutzungen / Druckstellen. "If you torture the data long enough, Nature will confess," stated Nobel-winning economist Ronald Coase. This remains true, yet achieving this goal is challenging. The phrase "long enough" can often translate to "too long" in many applications, making it impractical. To extract insights from large data sets, one must employ advanced "torturing" tools, and Nature is often reluctant to reveal its secrets. Despite these challenges, readers will discover several effective data mining tools within this insightful book. It addresses a wide range of issues related to data mining methodologies, techniques, and algorithms. The content begins with data understanding and preprocessing, progresses through supervised and unsupervised learning methods, and concludes with model assessment and considerations of data security and privacy. This comprehensive approach to the knowledge discovery process distinguishes the book, making it an essential resource among data mining literature. In today's world, virtually every aspect of human activity is influenced by the necessity and desire to collect data, leading to significant implications for how we understand and utilize this information.
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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.
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Aggiungi al carrelloTapa Dura. Condizione: Muy bien. Tapa dura. Muy ilustrado.9780387333335. Springer. Estados Unidos. 2007. 26x19 centímetros. 606 páginas. Tapa dura. Estado=Muy bien. Inglés.
Da: UK BOOKS STORE, London, LONDO, Regno Unito
EUR 63,15
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Aggiungi al carrelloCondizione: New. Brand New ! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Aggiungi al carrello25 x 18. 606 Seiten. Hardcover. Ordnungsgemäß aus einer Universitäts-Bibliothek ausgesondert (Stempel, Rückenschild). Sehr guter Zustand. Gewicht über 1 kg. Sprache: Englisch Gewicht in Gramm: 1400.
EUR 89,50
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Aggiungi al carrelloCondizione: New. In.
hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
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Aggiungi al carrelloPF. Condizione: New.
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'If you torture the data long enough, Nature will confess,' said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, 'long enough' may, in practice, be 'too long' in many applications and thus unacceptable. Second, to get 'confession' from large data sets one needs to use state-of-the-art 'torturing' tools. Third, Nature is very stubborn - not yielding easily or unwilling to reveal its secrets at all. Fortunately, while being aware of the above facts, the reader (a data miner) will find several efficient data mining tools described in this excellent book. The book discusses various issues connecting the whole spectrum of approaches, methods, techniques and algorithms falling under the umbrella of data mining. It starts with data understanding and preprocessing, then goes through a set of methods for supervised and unsupervised learning, and concludes with model assessment, data security and privacy issues. It is this specific approach of using the knowledge discovery process that makes this book a rare one indeed, and thus an indispensable addition to many other books on data mining. To be more precise, this is a book on knowledge discovery from data. As for the data sets, the easy-to-make statement is that there is no part of modern human activity left untouched by both the need and the desire to collect data. The consequence of such a state of affairs is obvious.
Lingua: Inglese
Editore: Springer, 2007
Da: Books in my Basket, New Delhi, India
EUR 149,46
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Aggiungi al carrelloHardcover. Condizione: New. ISBN:9780387333335.
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Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
EUR 113,44
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Aggiungi al carrelloBuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 'If you torture the data long enough, Nature will confess,' said 1991 Nobel-winning economist Ronald Coase. The statement is still true. However, achieving this lofty goal is not easy. First, 'long enough' may, in practice, be 'too long' in many applications and thus unacceptable. Second, to get 'confession' from large data sets one needs to use state-of-the-art 'torturing' tools. Third, Nature is very stubborn - not yielding easily or unwilling to reveal its secrets at all. Fortunately, while being aware of the above facts, the reader (a data miner) will find several efficient data mining tools described in this excellent book. The book discusses various issues connecting the whole spectrum of approaches, methods, techniques and algorithms falling under the umbrella of data mining. It starts with data understanding and preprocessing, then goes through a set of methods for supervised and unsupervised learning, and concludes with model assessment, data security and privacy issues. It is this specific approach of using the knowledge discovery process that makes this book a rare one indeed, and thus an indispensable addition to many other books on data mining. To be more precise, this is a book on knowledge discovery from data. As for the data sets, the easy-to-make statement is that there is no part of modern human activity left untouched by both the need and the desire to collect data. The consequence of such a state of affairs is obvious.
Lingua: Inglese
Editore: Springer-Verlag New York Inc., 2010
ISBN 10: 1441941207 ISBN 13: 9781441941206
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 105,90
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.