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    Data Mining and Knowledge Discovery with Evolutionary Algorithms

Data Mining and Knowledge Discovery with Evolutionary Algorithms

Alex A. Freitas
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      This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
      Format: Hardback CONTRIBUTORS: Alex A. Freitas EAN: 9783540433316 COUNTRY: Germany PAGES: WEIGHT: 1260 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2002-08-21 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Information Theory, COMPUTERS / Programming / Algorithms WIDTH: 155 cm SPINE:

      Book Themes:

      Information theory, Algorithms and data structures, Databases, Data warehousing, Data mining, Information retrieval, Artificial intelligence, Expert systems / knowledge-based systems

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      This book integrates two areas of computer science, namely data mining and evolutionary algorithms. Both these areas have become increasingly popular in the last few years, and their integration is currently an active research area. In general, data mining consists of extracting knowledge from data. The motivation for applying evolutionary algorithms to data mining is that evolutionary algorithms are robust search methods which perform a global search in the space of candidate solutions. This book emphasizes the importance of discovering comprehensible, interesting knowledge, which is potentially useful for intelligent decision making. The text explains both basic concepts and advanced topics
      Format: Hardback CONTRIBUTORS: Alex A. Freitas EAN: 9783540433316 COUNTRY: Germany PAGES: WEIGHT: 1260 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG DATE PUBLISHED: 2002-08-21 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Information Theory, COMPUTERS / Programming / Algorithms WIDTH: 155 cm SPINE:

      Book Themes:

      Information theory, Algorithms and data structures, Databases, Data warehousing, Data mining, Information retrieval, Artificial intelligence, Expert systems / knowledge-based systems

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      Be the first to write a review
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