Synopsis
In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These arameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy of the classifiers. This process is called as the tuning of the dataset.Insight into Data pre-processing: Theory and Practice is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and industry people.Features-1.Provides in-depth, practical coverage of essential data preprocessing topics, including data cleaning, integration, transformation, reduction and discretization. 2.Addresses the method to deals with redundant and conflicting pattern.
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Product Description
Insight Into Data Preprocessing In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These arameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy of the classifiers. This process is called as the tuning of the dataset.Insight into Data pre-processing: Theory and Practice is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and industry ...
About the Author
Dr.S.A.Balamurugan,APIT,TCE,Madurai,India. He received his PhD in Data mining from Anna University,Chennai. His research has been supported by UGC,India. He is a member of IEEE and CSI. He has published more than 30 research papers in reputed journal including IEEE, ELSEVIER AND SPRINGER. His research interests include Data mining and Informatics.
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Insight Into Data Preprocessing
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Insight Into Data Preprocessing
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Insight into Data Preprocessing: Theory and Practice
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Balamurugan S. AppavuDr.S.A.Balamurugan,APIT,TCE,Madurai,India. He received his PhD in Data mining from Anna University,Chennai. His research has been supported by UGC,India. He is a member of IEEE and CSI. He has published more tha. Seller Inventory # 5521638
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Insight into Data Preprocessing: Theory and Practice : Data Mining Perspective
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In real world datasets, lots of redundant and conflicting data exists. The performance of a classification algorithm in data mining is greatly affected by noisy information (i.e. redundant and conflicting data). These arameters not only increase the cost of mining process, but also degrade the detection performance of the classifiers. They have to be removed to increase the efficiency and accuracy of the classifiers. This process is called as the tuning of the dataset.Insight into Data pre-processing: Theory and Practice is the master reference that practitioners and researchers have long been seeking. It is also the obvious choice for academic and industry people.Features-1.Provides in-depth, practical coverage of essential data preprocessing topics, including data cleaning, integration, transformation, reduction and discretization. 2.Addresses the method to deals with redundant and conflicting pattern. Seller Inventory # 9783848430628
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Insight into Data Preprocessing: Theory and Practice | Data Mining Perspective
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Taschenbuch. Condition: Neu. Insight into Data Preprocessing: Theory and Practice | Data Mining Perspective | Subramanian alias Balamurugan Appavu (u. a.) | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783848430628 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 106584798