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Focusing Solutions for Data Mining [electronic resource] :Analytical Studies and Experimental Results in Real-World Domains /

Contributor(s): Reinartz, Thomas [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Computer Science: 1623Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 1999.Description: XVI, 316 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540483168.Subject(s): Computer science | Information technology | Business -- Data processing | Algorithms | Database management | Information storage and retrieval | Artificial intelligence | Complexity, Computational | Computer Science | Database Management | Artificial Intelligence (incl. Robotics) | Algorithm Analysis and Problem Complexity | Information Storage and Retrieval | Complexity | IT in BusinessOnline resources: Click here to access online
Contents:
Knowledge Discovery in Databases -- Focusing Tasks -- Focusing Solutions -- Analytical Studies -- Experimental Results -- Conclusions.
In: Springer eBooksSummary: In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques, and finally culminates in implementing a unified approach as a generic sampling algorithm, which is then integrated into a commercial data mining system. The last part evaluates specific focusing solutions in various application domains. The book provides various appendicies enhancing easy accessibility. The book presents a comprehensive introduction to focusing in the context of data mining and knowledge discovery. It is written for researchers and advanced students, as well as for professionals applying data mining and knowledge discovery techniques in practice.
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Knowledge Discovery in Databases -- Focusing Tasks -- Focusing Solutions -- Analytical Studies -- Experimental Results -- Conclusions.

In the first part, this book analyzes the knowledge discovery process in order to understand the relations between knowledge discovery steps and focusing. The part devoted to the development of focusing solutions opens with an analysis of the state of the art, then introduces the relevant techniques, and finally culminates in implementing a unified approach as a generic sampling algorithm, which is then integrated into a commercial data mining system. The last part evaluates specific focusing solutions in various application domains. The book provides various appendicies enhancing easy accessibility. The book presents a comprehensive introduction to focusing in the context of data mining and knowledge discovery. It is written for researchers and advanced students, as well as for professionals applying data mining and knowledge discovery techniques in practice.

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