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Hybrib Classification Model: A Data Mining Approach - Sarkar, Bikash
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Sarkar, Bikash:
Hybrib Classification Model: A Data Mining Approach - Taschenbuch

2014, ISBN: 9783639710991

[ED: Taschenbuch / Paperback], [PU: Scholar's Press], The book begins with discussion on the basic concept on Data Mining, emphasizing the need of classification model. However, it mainly focuses on designing a family of new hybrid classification systems, each combining C4.5 (a decision tree based rule inductive algorithm) and genetic algorithm. Formally, each such system consists of three phases. The first phase attempts to produce a good population (rule set) from training set. The second phase resolves the interpretability problem of the population and, finally GA optimizes the formatted rule set. The ultimate aim of each system is to achieve higher prediction accuracy over classification problem irrespective to domain, size, dimensionality and class distribution, accepting a good population learned by C4.5 at the beginning. Certainly, the book is not only useful to the researchers but also helpful to the undergraduate and postgraduate students of computer science., DE, [SC: 0.00], Neuware, gewerbliches Angebot, H: 220mm, B: 150mm, T: 13mm, 248, [GW: 345g], Selbstabholung und Barzahlung, PayPal, offene Rechnung, Banküberweisung, Internationaler Versand

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Hybrib Classification Model: A Data Mining Approach - Sarkar, Bikash
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
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Sarkar, Bikash:
Hybrib Classification Model: A Data Mining Approach - Taschenbuch

ISBN: 3639710991

ID: 19728998406

[EAN: 9783639710991], Neubuch, Publisher/Verlag: Scholar's Press | The book begins with discussion on the basic concept on Data Mining, emphasizing the need of classification model. However, it mainly focuses on designing a family of new hybrid classification systems, each combining C4.5 (a decision tree based rule inductive algorithm) and genetic algorithm. Formally, each such system consists of three phases. The first phase attempts to produce a good population (rule set) from training set. The second phase resolves the interpretability problem of the population and, finally GA optimizes the formatted rule set. The ultimate aim of each system is to achieve higher prediction accuracy over classification problem irrespective to domain, size, dimensionality and class distribution, accepting a good population learned by C4.5 at the beginning. Certainly, the book is not only useful to the researchers but also helpful to the undergraduate and postgraduate students of computer science. | Format: Paperback | Language/Sprache: english | 345 gr | 220x150x13 mm | 248 pp, [PU: VDM Verlag Dr. Müller, Saarbrücken]

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European-Media-Service Mannheim, Mannheim, Germany [1048135] [Rating: 5 (von 5)]
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Hybrib Classification Model: A Data Mining Approach - Bikash Sarkar
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Bikash Sarkar:
Hybrib Classification Model: A Data Mining Approach - Taschenbuch

2014, ISBN: 3639710991

ID: 12467708638

[EAN: 9783639710991], Neubuch, [PU: SPS Mrz 2014], This item is printed on demand - Print on Demand Neuware - The book begins with discussion on the basic concept on Data Mining, emphasizing the need of classification model. However, it mainly focuses on designing a family of new hybrid classification systems, each combining C4.5 (a decision tree based rule inductive algorithm) and genetic algorithm. Formally, each such system consists of three phases. The first phase attempts to produce a good population (rule set) from training set. The second phase resolves the interpretability problem of the population and, finally GA optimizes the formatted rule set. The ultimate aim of each system is to achieve higher prediction accuracy over classification problem irrespective to domain, size, dimensionality and class distribution, accepting a good population learned by C4.5 at the beginning. Certainly, the book is not only useful to the researchers but also helpful to the undergraduate and postgraduate students of computer science. 248 pp. Englisch

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AHA-BUCH GmbH, Einbeck, Germany [51283250] [Rating: 5 (von 5)]
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Hybrib Classification Model: A Data Mining Approach - Bikash Sarkar
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Bikash Sarkar:
Hybrib Classification Model: A Data Mining Approach - Taschenbuch

ISBN: 9783639710991

[ED: Taschenbuch], [PU: SPS], Neuware - The book begins with discussion on the basic concept on Data Mining, emphasizing the need of classification model. However, it mainly focuses on designing a family of new hybrid classification systems, each combining C4.5 (a decision tree based rule inductive algorithm) and genetic algorithm. Formally, each such system consists of three phases. The first phase attempts to produce a good population (rule set) from training set. The second phase resolves the interpretability problem of the population and, finally GA optimizes the formatted rule set. The ultimate aim of each system is to achieve higher prediction accuracy over classification problem irrespective to domain, size, dimensionality and class distribution, accepting a good population learned by C4.5 at the beginning. Certainly, the book is not only useful to the researchers but also helpful to the undergraduate and postgraduate students of computer science., [SC: 0.00], Neuware, gewerbliches Angebot, 220x150x15 mm, [GW: 386g]

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Hybrib Classification Model: A Data Mining Approach - Bikash Sarkar
Vergriffenes Buch, derzeit bei uns nicht verfügbar.
(*)
Bikash Sarkar:
Hybrib Classification Model: A Data Mining Approach - Taschenbuch

2014, ISBN: 3639710991

ID: 19725735850

[EAN: 9783639710991], Neubuch, [PU: SPS Mrz 2014], Neuware - The book begins with discussion on the basic concept on Data Mining, emphasizing the need of classification model. However, it mainly focuses on designing a family of new hybrid classification systems, each combining C4.5 (a decision tree based rule inductive algorithm) and genetic algorithm. Formally, each such system consists of three phases. The first phase attempts to produce a good population (rule set) from training set. The second phase resolves the interpretability problem of the population and, finally GA optimizes the formatted rule set. The ultimate aim of each system is to achieve higher prediction accuracy over classification problem irrespective to domain, size, dimensionality and class distribution, accepting a good population learned by C4.5 at the beginning. Certainly, the book is not only useful to the researchers but also helpful to the undergraduate and postgraduate students of computer science. 248 pp. Englisch

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Rheinberg-Buch, Bergisch Gladbach, Germany [53870650] [Rating: 5 (von 5)]
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Detailangaben zum Buch - Hybrib Classification Model: A Data Mining Approach


EAN (ISBN-13): 9783639710991
ISBN (ISBN-10): 3639710991
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2014
Herausgeber: AV Akademikerverlag GmbH & Co. KG.

Buch in der Datenbank seit 19.04.2014 13:33:44
Buch zuletzt gefunden am 24.10.2017 12:31:17
ISBN/EAN: 9783639710991

ISBN - alternative Schreibweisen:
3-639-71099-1, 978-3-639-71099-1


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