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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing) - Softcover
Synopsis
Covers the key topics of assessing the quality of the results and handling uncertainty in data mining.
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
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UNCERTAINTY HANDLING AND QUALITY ASSESSMENT IN DATA MINING (ADVANCED INFORMATION AND KNOWLEDGE PROCESSING)
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service. Seller Inventory # ABEJUNE24-178205
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Uncertainty Handling and Quality Assessment in Data Mining (Advanced Information and Knowledge Processing)
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Uncertainty Handling and Quality Assessment in Data Mining
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Uncertainty Handling and Quality Assessment in Data Mining
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Uncertainty Handling and Quality Assessment in Data Mining
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Springer London Ltd, 2012
ISBN 10: 1447111192
ISBN 13: 9781447111191
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Paperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 403. Seller Inventory # C9781447111191
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Uncertainty Handling and Quality Assessment in Data Mining
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Condition: 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. Seller Inventory # 55069446
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Uncertainty Handling and Quality Assessment in Data Mining
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Taschenbuch. Condition: 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. Seller Inventory # 9781447111191
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Uncertainty Handling and Quality Assessment in Data Mining
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Uncertainty Handling and Quality Assessment in Data Mining
Print on DemandSeller: moluna, Greven, Germany
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Condition: 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. Seller Inventory # 4184002
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