Synopsis
Earthquake prediction is a significant and confounded assignment in universe. we recommend a prophetical plan principally based element extraction strategy to help the exhibition of seismic tremor expectation. Extraordinarily, the crude seismal data is leading isolated into affixed day timespans, and in this way the greatness of the greatest quake in each attached central amount is named as fundamental stun. The prophetical example could be a piece of seismal succession before the most stun, on that the present scientific datum alternatives is legitimately delivered as seismal pointers. bolstered these prophetical example principally based alternatives, a clear by the by productive order and relapse tree algorithmic guideline (NB) is obtained to appraise the name of principle stun in an exceedingly pre-characterized future key amount.
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Naive Bayes Classifier and Rough Set Theory for Data Stream
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LAP LAMBERT Academic Publishing Jul 2021, 2021
ISBN 10: 6200457131
ISBN 13: 9786200457134
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Earthquake prediction is a significant and confounded assignment in universe. we recommend a prophetical plan principally based element extraction strategy to help the exhibition of seismic tremor expectation. Extraordinarily, the crude seismal data is leading isolated into affixed day timespans, and in this way the greatness of the greatest quake in each attached central amount is named as fundamental stun. The prophetical example could be a piece of seismal succession before the most stun, on that the present scientific datum alternatives is legitimately delivered as seismal pointers. bolstered these prophetical example principally based alternatives, a clear by the by productive order and relapse tree algorithmic guideline (NB) is obtained to appraise the name of principle stun in an exceedingly pre-characterized future key amount. 52 pp. Englisch. Seller Inventory # 9786200457134
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Naive Bayes Classifier and Rough Set Theory for Data Stream
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ISBN 10: 6200457131
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Babu Dr. D KishoreDr. D Kishore Babu obtained Ph.D. in Computer Science and Engineering, awarded in 2018,JNTU, Kakinada. He filed one Patent at Indian Patent office. He has published 19 papers in international journals and presented . Seller Inventory # 493801017
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Naive Bayes Classifier and Rough Set Theory for Data Stream
Published by
LAP LAMBERT Academic Publishing Jul 2021, 2021
ISBN 10: 6200457131
ISBN 13: 9786200457134
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Taschenbuch
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Earthquake prediction is a significant and confounded assignment in universe. we recommend a prophetical plan principally based element extraction strategy to help the exhibition of seismic tremor expectation. Extraordinarily, the crude seismal data is leading isolated into affixed day timespans, and in this way the greatness of the greatest quake in each attached central amount is named as fundamental stun. The prophetical example could be a piece of seismal succession before the most stun, on that the present scientific datum alternatives is legitimately delivered as seismal pointers. bolstered these prophetical example principally based alternatives, a clear by the by productive order and relapse tree algorithmic guideline (NB) is obtained to appraise the name of principle stun in an exceedingly pre-characterized future key amount.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 52 pp. Englisch. Seller Inventory # 9786200457134
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Naive Bayes Classifier and Rough Set Theory for Data Stream : Classification Drift
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ISBN 13: 9786200457134
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Earthquake prediction is a significant and confounded assignment in universe. we recommend a prophetical plan principally based element extraction strategy to help the exhibition of seismic tremor expectation. Extraordinarily, the crude seismal data is leading isolated into affixed day timespans, and in this way the greatness of the greatest quake in each attached central amount is named as fundamental stun. The prophetical example could be a piece of seismal succession before the most stun, on that the present scientific datum alternatives is legitimately delivered as seismal pointers. bolstered these prophetical example principally based alternatives, a clear by the by productive order and relapse tree algorithmic guideline (NB) is obtained to appraise the name of principle stun in an exceedingly pre-characterized future key amount. Seller Inventory # 9786200457134
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Naive Bayes Classifier and Rough Set Theory for Data Stream | Classification Drift
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ISBN 10: 6200457131
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Taschenbuch. Condition: Neu. Naive Bayes Classifier and Rough Set Theory for Data Stream | Classification Drift | D Kishore Babu (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786200457134 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 120430537
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