Da: St Vincent de Paul of Lane County, Eugene, OR, U.S.A.
EUR 4,99
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Aggiungi al carrelloCondizione: Good. SMALL INDENT MARKINGS TO BACK COVER hardcover 100% of proceeds go to charity! Good condition with all pages in tact. Item shows signs of use and may have cosmetic defects.
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Da: Buchpark, Trebbin, Germania
EUR 119,30
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut - Neubindung, Buchschnitt etwas zu weit abgeschnitten, Aufl. 2009 | Seiten: 398 | Sprache: Englisch | Produktart: Bücher.
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Da: Gardner's Used Books, Inc., Tulsa, OK, U.S.A.
EUR 114,63
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Aggiungi al carrelloHardcover. Condizione: Good. No jacket. Light shelfwear on boards. Clean pages. Smells faintly of mothballs. Tulsa's largest used bookstore. Located on South Mingo Road since 1991. No-hassle return policy if not completely satisfied.
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Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642101674 ISBN 13: 9783642101670
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Foundations of Computational Intelligence Volume 6: Data Mining: Theoretical Foundations and Applications Finding information hidden in data is as theoretically difficult as it is practically important. With the objective of discovering unknown patterns from data, the methodologies of data mining were derived from statistics, machine learning, and artificial intelligence, and are being used successfully in application areas such as bioinformatics, business, health care, banking, retail, and many others. Advanced representation schemes and computational intelligence techniques such as rough sets, neural networks; decision trees; fuzzy logic; evolutionary algorithms; arti- cial immune systems; swarm intelligence; reinforcement learning, association rule mining, Web intelligence paradigms etc. have proved valuable when they are - plied to Data Mining problems. Computational tools or solutions based on intel- gent systems are being used with great success in Data Mining applications. It is also observed that strong scientific advances have been made when issues from different research areas are integrated. This Volume comprises of 15 chapters including an overview chapter providing an up-to-date and state-of-the research on the applications of Computational Int- ligence techniques for Data Mining. The book is divided into 3 parts: Part-I: Data Click Streams and Temporal Data Mining Part-II: Text and Rule Mining Part-III: Applications Part I on Data Click Streams and Temporal Data Mining contains four chapters that describe several approaches in Data Click Streams and Temporal Data Mining.
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Editore: Springer Berlin Heidelberg, 2010
ISBN 10: 3642101666 ISBN 13: 9783642101663
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 160,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Foundations of Computational Intelligence Volume 4: Bio-Inspired Data Mining Theoretical Foundations and Applications Recent advances in the computing and electronics technology, particularly in sensor devices, databases and distributed systems, are leading to an exponential growth in the amount of data stored in databases. It has been estimated that this amount doubles every 20 years. For some applications, this increase is even steeper. Databases storing DNA sequence, for example, are doubling their size every 10 months. This growth is occurring in several applications areas besides bioinformatics, like financial transactions, government data, environmental mo- toring, satellite and medical images, security data and web. As large organizations recognize the high value of data stored in their databases and the importance of their data collection to support decision-making, there is a clear demand for - phisticated Data Mining tools. Data mining tools play a key role in the extraction of useful knowledge from databases. They can be used either to confirm a parti- lar hypothesis or to automatically find patterns. In the second case, which is - lated to this book, the goal may be either to describe the main patterns present in dataset, what is known as descriptive Data Mining or to find patterns able to p- dict behaviour of specific attributes or features, known as predictive Data Mining. While the first goal is associated with tasks like clustering, summarization and association, the second is found in classification and regression problems.
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 169,82
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Da: California Books, Miami, FL, U.S.A.
EUR 199,96
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 233,25
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 209,68
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