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Data Mining: Performing clustering technique of data mining using Waikato Environment for Knowledge Analysis Version 3.6.5. - Couverture souple
Synopsis
Data mining can be considered a relatively recently developed methodology and technology, coming into prominence only in 1994. It aims to identify valid, novel, potentially useful, and understandable correlations and patterns in data by combing through copious data sets to sniff out patterns that are too subtle or complex for humans to detect. Data mining can be defined as the process of finding previously unknown patterns and trends in databases and using that information to build predictive models. It is the process of data selection and exploration and building models using vast data stores to uncover previously unknown patterns. Data mining can improve decisionmaking by discovering patterns and trends in large amounts of complex data. Data Mining is the discovery of knowledge of analyzing enormous set of data; by extracting the meaning of the data and then predicting the future trends and also helps companies to take sound decisions, based on knowledge and information. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified.
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À propos de l?auteur
She is MBA, MCA and PhD(Pursuing) in computer Science and Engineering. She is an author of various national and international books of computer stream. She has also published various resarch papers in national and international conference.
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Data Mining
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LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3848497093
ISBN 13 : 9783848497096
Neuf
Couverture souple
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Arora NidhiShe is MBA, MCA and PhD(Pursuing) in computer Science and Engineering. She is an author of various national and international books of computer stream. She has also published various resarch papers in national and internat. N° de réf. du vendeur 5527135
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Data Mining : Performing clustering technique of data mining using Waikato Environment for Knowledge Analysis Version 3.6.5.
Edité par
LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3848497093
ISBN 13 : 9783848497096
Neuf
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Data mining can be considered a relatively recently developed methodology and technology, coming into prominence only in 1994. It aims to identify valid, novel, potentially useful, and understandable correlations and patterns in data by combing through copious data sets to sniff out patterns that are too subtle or complex for humans to detect. Data mining can be defined as the process of finding previously unknown patterns and trends in databases and using that information to build predictive models. It is the process of data selection and exploration and building models using vast data stores to uncover previously unknown patterns. Data mining can improve decisionmaking by discovering patterns and trends in large amounts of complex data. Data Mining is the discovery of knowledge of analyzing enormous set of data; by extracting the meaning of the data and then predicting the future trends and also helps companies to take sound decisions, based on knowledge and information. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. N° de réf. du vendeur 9783848497096
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Data Mining
Edité par
LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10 : 3848497093
ISBN 13 : 9783848497096
Neuf
Taschenbuch
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data mining can be considered a relatively recently developed methodology and technology, coming into prominence only in 1994. It aims to identify valid, novel, potentially useful, and understandable correlations and patterns in data by combing through copious data sets to sniff out patterns that are too subtle or complex for humans to detect. Data mining can be defined as the process of finding previously unknown patterns and trends in databases and using that information to build predictive models. It is the process of data selection and exploration and building models using vast data stores to uncover previously unknown patterns. Data mining can improve decisionmaking by discovering patterns and trends in large amounts of complex data. Data Mining is the discovery of knowledge of analyzing enormous set of data; by extracting the meaning of the data and then predicting the future trends and also helps companies to take sound decisions, based on knowledge and information. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified. 56 pp. Englisch. N° de réf. du vendeur 9783848497096
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Data Mining
Edité par
LAP LAMBERT Academic Publishing Apr 2012, 2012
ISBN 10 : 3848497093
ISBN 13 : 9783848497096
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. Neuware -Data mining can be considered a relatively recently developed methodology and technology, coming into prominence only in 1994. It aims to identify valid, novel, potentially useful, and understandable correlations and patterns in data by combing through copious data sets to sniff out patterns that are too subtle or complex for humans to detect. Data mining can be defined as the process of finding previously unknown patterns and trends in databases and using that information to build predictive models. It is the process of data selection and exploration and building models using vast data stores to uncover previously unknown patterns. Data mining can improve decisionmaking by discovering patterns and trends in large amounts of complex data. Data Mining is the discovery of knowledge of analyzing enormous set of data; by extracting the meaning of the data and then predicting the future trends and also helps companies to take sound decisions, based on knowledge and information. Data mining software is one of a number of analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, categorize it, and summarize the relationships identified.Books on Demand GmbH, Überseering 33, 22297 Hamburg 56 pp. Englisch. N° de réf. du vendeur 9783848497096
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