Items related to Data mining approach to classification of sequence...
- PublisherSavitribai Phule Pune University
- Publication date2022
- ISBN 10 6760092120
- ISBN 13 9786760092127
- BindingPaperback
- LanguageEnglish
- Number of pages194
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Data mining approach to classification of sequence data (Paperback or Softback)
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Savitribai Phule Pune University 7/3/2022, 2022
ISBN 10: 6760092120
ISBN 13: 9786760092127
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University, 2022
ISBN 10: 6760092120
ISBN 13: 9786760092127
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University, 2022
ISBN 10: 6760092120
ISBN 13: 9786760092127
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University, 2022
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University, 2022
ISBN 10: 6760092120
ISBN 13: 9786760092127
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University, 2022
ISBN 10: 6760092120
ISBN 13: 9786760092127
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University 2022-07, 2022
ISBN 10: 6760092120
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University, 2022
ISBN 10: 6760092120
ISBN 13: 9786760092127
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University, 2022
ISBN 10: 6760092120
ISBN 13: 9786760092127
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Data mining approach to classification of sequence data
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Savitribai Phule Pune University Jul 2022, 2022
ISBN 10: 6760092120
ISBN 13: 9786760092127
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Introduction and Literature Review We live in a world where data are increasingly becoming available in larger quanti ties than ever before and increasingly form the basis of decisions in daily activities. To cope with the ever'increasing volume of data, it is imperative to organize data effectively and efficiently. The very first step of any data organization activity is to classify data. The present thesis emphasizes three aspects of the classification of data. First, it takes a data mining approach as opposed to an empirical or inferen trial approach. Second, it restricts the discussion only to sequence data, including multidimensional and time-series data. Third and final, it focuses mainly on un supervised classification, that is clustering. 194 pp. Englisch. Seller Inventory # 9786760092127
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