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uncertainty handling quality assessment di vazirgiannis michalis (25 risultati)
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Uncertainty Handling And Quality Assessment In Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
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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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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Biblios, Frankfurt am main, HESSE, Germania
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Libro 36 di 66: Advanced Information and Knowledge ProcessingEUR 53,48
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
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Aggiungi al carrelloCondizione: 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.
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Lucky's Textbooks, Dallas, TX, U.S.A.
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Lucky's Textbooks, Dallas, TX, U.S.A.
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: California Books, Miami, FL, U.S.A.
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Ria Christie Collections, Uxbridge, Regno Unito
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Ria Christie Collections, Uxbridge, Regno Unito
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EUR 57,79
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Chiron Media, Wallingford, Regno Unito
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Books Puddle, New York, NY, U.S.A.
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Condizione: New. pp. 240.
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Uncertainty Handling and Quality Assessment in Data Mining (Hardback or Cased Book)
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: BargainBookStores, Grand Rapids, MI, U.S.A.
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Hardback or Cased Book. Condizione: New. Uncertainty Handling and Quality Assessment in Data Mining. Book.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingEUR 62,18
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Aggiungi al carrelloKartoniert / Broschiert. Condizione: New. Focuses on the quality assessment of the results and the use of uncertainty in data mining rather than providing a general treatment of the subject of data miningThe recent explosive growth of our ability to generate and store data has created a need fo.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingEUR 56,97
EUR 61,86 per la spedizione da Germania a U.S.A.Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingEUR 49,75
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Uncertainty Handling and Quality Assessment in Data Mining | Michalis Vazirgiannis (u. a.) | Taschenbuch | ix | Englisch | 2012 | Springer | EAN 9781447111191 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Mispah books, Redhill, SURRE, Regno Unito
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EUR 97,29
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Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingEUR 82,98
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Aggiungi al carrelloBuch. Condizione: Neu. Neuware - Uncertainty Handling and Quality Assessment in Data Mining provides an introduction to the application of these concepts in Knowledge Discovery and Data Mining. It reviews the state-of-the-art in uncertainty handling and discusses a framework for unveiling and handling uncertainty. Coverage of quality assessment begins with an introduction to cluster analysis and a comparison of the methods and approaches that may be used. The techniques and algorithms involved in other essential data mining tasks, such as classification and extraction of association rules, are also discussed together with a review of the quality criteria and techniques for evaluating the data mining results. This book presents a general framework for assessing quality and handling uncertainty which is based on tested concepts and theories. This framework forms the basis of an implementation tool, 'Uminer' which is introduced to the reader for the first time. This tool supports the key data mining tasks while enhancing the traditional processes for handling uncertainty and assessing quality. Aimed at IT professionals involved with data mining and knowledge discovery, the work is supported with case studies from epidemiology and telecommunications that illustrate how the tool works in 'real world' data mining projects. The book would also be of interest to final year undergraduates or post-graduate students looking at: databases, algorithms, artificial intelligence and information systems particularly with regard to uncertainty and quality assessment.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingEUR 43,30
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Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingEditore: Springer London, Springer Okt 2012, 2012
ISBN 10: 1447111192 ISBN 13: 9781447111191
Lingua: Inglese
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques. 240 pp. Englisch.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: THE SAINT BOOKSTORE, Southport, Regno Unito
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EUR 66,69
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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 403.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Majestic Books, Hounslow, Regno Unito
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EUR 77,63
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Aggiungi al carrelloCondizione: New. Print on Demand pp. 240 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: Biblios, Frankfurt am main, HESSE, Germania
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EUR 78,72
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND pp. 240.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingDa: THE SAINT BOOKSTORE, Southport, Regno Unito
Valutazione del venditore 5 su 5 stelle
EUR 74,69
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 544.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingEUR 47,23
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Focuses on the quality assessment of the results and the use of uncertainty in data mining rather than providing a general treatment of the subject of data miningThe recent explosive growth of our ability to generate and store data has created a need fo.
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Uncertainty Handling and Quality Assessment in Data Mining
Libro 36 di 66: Advanced Information and Knowledge ProcessingEditore: Springer London, Springer London Okt 2012, 2012
ISBN 10: 1447111192 ISBN 13: 9781447111191
Lingua: Inglese
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 240 pp. Englisch.
