advanced techniques knowledge discovery (33 risultati)

Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less 1.11.

2005. 16 x 24 cm. XII, 256 S. XII, 256 p. hardcover Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, dah (Advanced Information and Knowledge Processing). Sprache: Englisch.

Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.

gebundene Ausgabe. Condizione: Gut. 254 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. Sprache: Englisch Gewicht in Gramm: 480.

Condizione: New.

Paperback. Condizione: new. Paperback. Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: As the term suggests, data mining is the analysis of data to establish relationships and identify patterns [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2]. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Condizione: New. SUPER FAST SHIPPING.

Condizione: New. SUPER FAST SHIPPING.

Hardcover. Condizione: new. Hardcover. This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: - Recent trends in data mining and knowledge discovery - Advanced data mining techniques in semi-conductor manufacturing - Clustering and visualization in retail markets baskets - Segmentation of continuous data - Instance selection using evolutionary algorithms - Cooperative co-evolution for data mining of Bayesian networks - Knowledge discovery and data mining in medicine - Satellite image classification - Knowledge discovery using rough sets This book presents both practical detail and some of the most up-to-date theory in the field, useful for postgraduates and those who wish to develop applications using advanced data mining and knowledge discovery techniques. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New.

Condizione: New.

Hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New. In.

Condizione: New. In.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. Editor(s): Pal, Nikhil R. Series: Advanced Information and Knowledge Processing. Num Pages: 268 pages, biography. BIC Classification: UMB; UNH. Category: (G) General (US: Trade). Dimension: 235 x 155 x 14. Weight in Grams: 415. . 2014. Paperback. . . . .

Condizione: New. Presents advanced tools and techniques available for data and web mining strategies with chapters written by leading world experts. This book provides practicing engineers and scientists with case studies using approaches for data and web mining strategies, and research students with in-depth tutorials on the topics covered. Editor(s): Pal, Nikhil R.; Jain, Prof. Lakhmi C. Series: Advanced Information and Knowledge Processing. Num Pages: 268 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 553. . 2005. Hardback. . . . .

Gebunden. Condizione: New. Clear and concise explanations to understand the learning paradigmsChapters written by leading world expertsA highly practical bookClear and concise explanations to understand the learning paradigms. Chapters written b.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM) A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: 'As the term suggests, data mining is the analysis of data to establish relationships and identify patterns' [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2].

Condizione: New. Editor(s): Pal, Nikhil R. Series: Advanced Information and Knowledge Processing. Num Pages: 268 pages, biography. BIC Classification: UMB; UNH. Category: (G) General (US: Trade). Dimension: 235 x 155 x 14. Weight in Grams: 415. . 2014. Paperback. . . . . Books ship from the US and Ireland.

Condizione: New. Presents advanced tools and techniques available for data and web mining strategies with chapters written by leading world experts. This book provides practicing engineers and scientists with case studies using approaches for data and web mining strategies, and research students with in-depth tutorials on the topics covered. Editor(s): Pal, Nikhil R.; Jain, Prof. Lakhmi C. Series: Advanced Information and Knowledge Processing. Num Pages: 268 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 15. Weight in Grams: 553. . 2005. Hardback. . . . . Books ship from the US and Ireland.

Paperback. Condizione: new. Paperback. Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM)? A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: As the term suggests, data mining is the analysis of data to establish relationships and identify patterns [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2]. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. Neuware - Data mining and knowledge discovery (DMKD) is a rapidly expanding field in computer science. It has become very important because of an increased demand for methodologies and tools that can help the analysis and understanding of huge amounts of data generated on a daily basis by institutions like hospitals, research laboratories, banks, insurance companies, and retail stores and by Internet users. This explosion is a result of the growing use of electronic media. But what is data mining (DM) A Web search using the Google search engine retrieves many (really many) definitions of data mining. We include here a few interesting ones. One of the simpler definitions is: 'As the term suggests, data mining is the analysis of data to establish relationships and identify patterns' [1]. It focuses on identifying relations in data. Our next example is more elaborate: An information extraction activity whose goal is to discover hidden facts contained in databases. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Typical applications include market segmentation, customer profiling, fraud detection, evaluation of retail promotions, and credit risk analysis [2].

Hardcover. Condizione: new. Hardcover. This book presents research on some of the most recent advances in data mining and knowledge discovery, providing theory as well as its applications on practical real world applications. The methodologies discussed encompass tools like Bayesian networks, and major facets of computational intelligence paradigms. Contributions from top class researchers include: - Recent trends in data mining and knowledge discovery - Advanced data mining techniques in semi-conductor manufacturing - Clustering and visualization in retail markets baskets - Segmentation of continuous data - Instance selection using evolutionary algorithms - Cooperative co-evolution for data mining of Bayesian networks - Knowledge discovery and data mining in medicine - Satellite image classification - Knowledge discovery using rough sets This book presents both practical detail and some of the most up-to-date theory in the field, useful for postgraduates and those who wish to develop applications using advanced data mining and knowledge discovery techniques. Using a combination of machine learning, statistical analysis, modeling techniques and database technology, data mining finds patterns and subtle relationships in data and infers rules that allow the prediction of future results. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Clear and concise explanations to understand the learning paradigms. Chapters written by leading world experts. 268 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Clear and concise explanations to understand the learning paradigmsChapters written by leading world expertsA highly practical bookClear and concise explanations to understand the learning paradigms. Chapters written b.