9783330045552 - algorithms for data mining and bio-informatics di mondal, kartick chandra; pasquier, nicolas (5 risultati)
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Taschenbuch. Condizione: Neu. Algorithms for Data Mining and Bio-informatics | Kartick Chandra Mondal (u. a.) | Taschenbuch | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9783330045552 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter:… preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Pattern extraction is one of the major topics in the Knowledge Discovery from Data & Background Knowledge Integration research domains. Extensively, it is subsumed as a part of the data mining task. Out of numerous data mining tech…niques, association rule mining and bi-clustering are two major complementary data mining tasks for relevant knowledge extraction and integration. However, to the best of our knowledge, no approach was proposed to perform these two tasks in one process. In this book, we shown an original approach for extracting different categories of knowledge patterns while using minimum number of resources. They extend the classical frameworks of association rules & bi-clusters, by providing the user with more information using the object lists associated with these patterns. These patterns are generated from the sets of generators, or key-patterns, the sets of closed patterns and the hierarchical conceptual structure induced from generators, closed patterns and supporting object lists. This book focuses on these topics in details. 336 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mondal Kartick ChandraKartick Chandra Mondal is an Assistant Prof. in the Dept. of Information Tech. at Jadavpur University, India. His research interests are Data Mining, Bioinformatics, Biodiversity…& Cloud Computing. He has comple.
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Da: buchversandmimpf2000, Emtmannsberg, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Pattern extraction is one of the major topics in the Knowledge Discovery from Data & Background Knowledge Integration research domains. Extensively, it is subsumed as a part of the data mining task. Out of numerous data mining techniqu…es, association rule mining and bi-clustering are two major complementary data mining tasks for relevant knowledge extraction and integration. However, to the best of our knowledge, no approach was proposed to perform these two tasks in one process. In this book, we shown an original approach for extracting different categories of knowledge patterns while using minimum number of resources. They extend the classical frameworks of association rules & bi-clusters, by providing the user with more information using the object lists associated with these patterns. These patterns are generated from the sets of generators, or key-patterns, the sets of closed patterns and the hierarchical conceptual structure induced from generators, closed patterns and supporting object lists. This book focuses on these topics in details.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 336 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Pattern extraction is one of the major topics in the Knowledge Discovery from Data & Background Knowledge Integration research domains. Extensively, it is subsumed as a part of the data mining task. Out of numerous data mining technique…s, association rule mining and bi-clustering are two major complementary data mining tasks for relevant knowledge extraction and integration. However, to the best of our knowledge, no approach was proposed to perform these two tasks in one process. In this book, we shown an original approach for extracting different categories of knowledge patterns while using minimum number of resources. They extend the classical frameworks of association rules & bi-clusters, by providing the user with more information using the object lists associated with these patterns. These patterns are generated from the sets of generators, or key-patterns, the sets of closed patterns and the hierarchical conceptual structure induced from generators, closed patterns and supporting object lists. This book focuses on these topics in details.
