2013, ISBN: 9783659311536

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], Web Personalization systems have been steadily gaining ground as essential components of today s web based applicatio… Plus…

[ED: Taschenbuch / Paperback], [PU: LAP Lambert Academic Publishing], Web Personalization systems have been steadily gaining ground as essential components of today s web based applications in providing support for web search and navigation, and hence pose a great challenge of information overloading. Hence efficient and intelligent techniques are needed to mine web data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' experience. The important computational intelligence methods for personalization of web-based systems are Fuzzy Systems, Rough sets, Genetic algorithms, and Swarm intelligence techniques. This book focuses on computational intelligent tools like rough sets, fuzzy sets and artificial intelligent techniques like ant clustering techniques to obtain user models. A key issue for page recommendation is the inherent uncertainty about what individual users will be seeking when they begin interacting with the web site. In order to alleviate the uncertainty, soft computing models are proposed based on Fuzzy clustering and Fuzzy biclustering. In order to handle outliers and overlapping components, Rough set based clustering and biclustering models are proposed., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 10mm, 200, [GW: 282g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand<

2013, ISBN: 3659311537

[EAN: 9783659311536], Neubuch, [PU: LAP Lambert Academic Publishing Jan 2013], Neuware - Web Personalization systems have been steadily gaining ground as essential components of today s w… Plus…

[EAN: 9783659311536], Neubuch, [PU: LAP Lambert Academic Publishing Jan 2013], Neuware - Web Personalization systems have been steadily gaining ground as essential components of today s web based applications in providing support for web search and navigation, and hence pose a great challenge of information overloading. Hence efficient and intelligent techniques are needed to mine web data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' experience. The important computational intelligence methods for personalization of web-based systems are Fuzzy Systems, Rough sets, Genetic algorithms, and Swarm intelligence techniques. This book focuses on computational intelligent tools like rough sets, fuzzy sets and artificial intelligent techniques like ant clustering techniques to obtain user models. A key issue for page recommendation is the inherent uncertainty about what individual users will be seeking when they begin interacting with the web site. In order to alleviate the uncertainty, soft computing models are proposed based on Fuzzy clustering and Fuzzy biclustering. In order to handle outliers and overlapping components, Rough set based clustering and biclustering models are proposed. 200 pp. Englisch<

ISBN: 9783659311536

Web Personalization systems have been steadily gaining ground as essential components of today s web based applications in providing support for web search and navigation, and hence pose … Plus…

Web Personalization systems have been steadily gaining ground as essential components of today s web based applications in providing support for web search and navigation, and hence pose a great challenge of information overloading. Hence efficient and intelligent techniques are needed to mine web data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' experience. The important computational intelligence methods for personalization of web-based systems are Fuzzy Systems, Rough sets, Genetic algorithms, and Swarm intelligence techniques. This book focuses on computational intelligent tools like rough sets, fuzzy sets and artificial intelligent techniques like ant clustering techniques to obtain user models. A key issue for page recommendation is the inherent uncertainty about what individual users will be seeking when they begin interacting with the web site. In order to alleviate the uncertainty, soft computing models are proposed based on Fuzzy clustering and Fuzzy biclustering. In order to handle outliers and overlapping components, Rough set based clustering and biclustering models are proposed. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Informatik & EDV<

ISBN: 9783659311536

Web Personalization systems have been steadily gaining ground as essential components of today s web based applications in providing support for web search and navigation, and hence pose … Plus…

Web Personalization systems have been steadily gaining ground as essential components of today s web based applications in providing support for web search and navigation, and hence pose a great challenge of information overloading. Hence efficient and intelligent techniques are needed to mine web data for actionable knowledge, and to effectively use the discovered knowledge to enhance the users' experience. The important computational intelligence methods for personalization of web-based systems are Fuzzy Systems, Rough sets, Genetic algorithms, and Swarm intelligence techniques. This book focuses on computational intelligent tools like rough sets, fuzzy sets and artificial intelligent techniques like ant clustering techniques to obtain user models. A key issue for page recommendation is the inherent uncertainty about what individual users will be seeking when they begin interacting with the web site. In order to alleviate the uncertainty, soft computing models are proposed based on Fuzzy clustering and Fuzzy biclustering. In order to handle outliers and overlapping components, Rough set based clustering and biclustering models are proposed. Bücher, Hörbücher & Kalender / Bücher / Sachbuch / Computer & IT<

2013, ISBN: 3659311537

Kartoniert / Broschiert, mit Schutzumschlag neu, [PU:LAP Lambert Academic Publishing]