Sinossi
Nowadays, data analysis becomes more important and essential to get accurate knowledge and making good decisions. Data mining research helps to carry out indepth data analysis for different kinds of data, from which, we can infer the hidden knowledge. “Data Mining Algorithms for Disaster Data Analysis” performed a detailed analysis on disaster data set using classification algorithms. The classification algorithms used in this analysis are IBK, KStar, LWL, J48, Random Forest, Random Tree, Naïve Bayes, Tree Decision Stump, Single Rule Induction, CHAID, QUEST, Exhaustive CHAID and CRT. This comparative analysis is implemented in three different data mining tools, WEKA, Rapidminer and SPSS. This book studied the data mining basics and also described how to perform classification tasks using these tools. This information will be useful for the students, researchers and professionals to pursue their work in the area of data mining.
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Data Mining Algorithms for Disaster Data Analysis
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LAP LAMBERT Academic Publishing Mär 2015, 2015
ISBN 10: 3659489042
ISBN 13: 9783659489044
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Nowadays, data analysis becomes more important and essential to get accurate knowledge and making good decisions. Data mining research helps to carry out indepth data analysis for different kinds of data, from which, we can infer the hidden knowledge. 'Data Mining Algorithms for Disaster Data Analysis' performed a detailed analysis on disaster data set using classification algorithms. The classification algorithms used in this analysis are IBK, KStar, LWL, J48, Random Forest, Random Tree, Naïve Bayes, Tree Decision Stump, Single Rule Induction, CHAID, QUEST, Exhaustive CHAID and CRT. This comparative analysis is implemented in three different data mining tools, WEKA, Rapidminer and SPSS. This book studied the data mining basics and also described how to perform classification tasks using these tools. This information will be useful for the students, researchers and professionals to pursue their work in the area of data mining. 128 pp. Englisch. Codice articolo 9783659489044
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Mohan S.VijayaraniDr.S.Vijayarani has completed MCA, M.Phil and Ph.D in Computer Science. She is working as Assistant Professor in the School of Computer Science and Engineering, Bharathiar University.Her fields of research interest . Codice articolo 20462139
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Data Mining Algorithms for Disaster Data Analysis
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Paperback. Condizione: Brand New. 128 pages. 8.66x5.91x0.29 inches. In Stock. Codice articolo 3659489042
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Data Mining Algorithms for Disaster Data Analysis
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LAP LAMBERT Academic Publishing Mär 2015, 2015
ISBN 10: 3659489042
ISBN 13: 9783659489044
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nowadays, data analysis becomes more important and essential to get accurate knowledge and making good decisions. Data mining research helps to carry out indepth data analysis for different kinds of data, from which, we can infer the hidden knowledge. 'Data Mining Algorithms for Disaster Data Analysis' performed a detailed analysis on disaster data set using classification algorithms. The classification algorithms used in this analysis are IBK, KStar, LWL, J48, Random Forest, Random Tree, Naïve Bayes, Tree Decision Stump, Single Rule Induction, CHAID, QUEST, Exhaustive CHAID and CRT. This comparative analysis is implemented in three different data mining tools, WEKA, Rapidminer and SPSS. This book studied the data mining basics and also described how to perform classification tasks using these tools. This information will be useful for the students, researchers and professionals to pursue their work in the area of data mining.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 128 pp. Englisch. Codice articolo 9783659489044
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Data Mining Algorithms for Disaster Data Analysis
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Nowadays, data analysis becomes more important and essential to get accurate knowledge and making good decisions. Data mining research helps to carry out indepth data analysis for different kinds of data, from which, we can infer the hidden knowledge. 'Data Mining Algorithms for Disaster Data Analysis' performed a detailed analysis on disaster data set using classification algorithms. The classification algorithms used in this analysis are IBK, KStar, LWL, J48, Random Forest, Random Tree, Naïve Bayes, Tree Decision Stump, Single Rule Induction, CHAID, QUEST, Exhaustive CHAID and CRT. This comparative analysis is implemented in three different data mining tools, WEKA, Rapidminer and SPSS. This book studied the data mining basics and also described how to perform classification tasks using these tools. This information will be useful for the students, researchers and professionals to pursue their work in the area of data mining. Codice articolo 9783659489044
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Data Mining Algorithms for Disaster Data Analysis
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ISBN 13: 9783659489044
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Taschenbuch. Condizione: Neu. Data Mining Algorithms for Disaster Data Analysis | S. Vijayarani Mohan (u. a.) | Taschenbuch | 128 S. | Englisch | 2015 | LAP LAMBERT Academic Publishing | EAN 9783659489044 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Codice articolo 104771141
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