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    Data Streams

Data Streams

Charu C. Aggarwal
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      This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject.This volume covers mining aspects of data streams comprehensively: each contributed chapter contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. The book is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for advanced-level students in computer science.
      Format: CONTRIBUTORS: Charu C. Aggarwal EAN: 9780387287591 COUNTRY: United States PAGES: WEIGHT: 1560 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2006-11-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Interactive & Multimedia WIDTH: 155 cm SPINE:

      Book Themes:

      Graphical and digital media applications, Network hardware, Databases, Data warehousing, Data mining, Information retrieval, Artificial intelligence, Expert systems / knowledge-based systems

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      Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 90 papers in major conferences and journals in the database and data mining field. He has applied for or been granted over 50 US and International patents, and has twice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 14 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Epispire award for environmental excellence in 2003. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and a program vice-chair for the SIAM Conference on Data Mining, 2007. He is an associate editor of the IEEE Transactions on Data Engineering and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE.
      This book primarily discusses issues related to the mining aspects of data streams and it is unique in its primary focus on the subject.This volume covers mining aspects of data streams comprehensively: each contributed chapter contains a survey on the topic, the key ideas in the field for that particular topic, and future research directions. The book is intended for a professional audience composed of researchers and practitioners in industry. This book is also appropriate for advanced-level students in computer science.
      Format: CONTRIBUTORS: Charu C. Aggarwal EAN: 9780387287591 COUNTRY: United States PAGES: WEIGHT: 1560 g HEIGHT: 235 cm
      PUBLISHED BY: Springer-Verlag New York Inc. DATE PUBLISHED: 2006-11-27 CITY: GENRE: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Database Administration & Management, COMPUTERS / Data Science / Data Analytics, COMPUTERS / System Administration / Storage & Retrieval, COMPUTERS / Interactive & Multimedia WIDTH: 155 cm SPINE:

      Book Themes:

      Graphical and digital media applications, Network hardware, Databases, Data warehousing, Data mining, Information retrieval, Artificial intelligence, Expert systems / knowledge-based systems

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      Charu C. Aggarwal obtained his B.Tech in Computer Science from IIT Kanpur in 1993 and Ph.D. from MIT in 1996. He has been a Research Staff Member at IBM since then, and has published over 90 papers in major conferences and journals in the database and data mining field. He has applied for or been granted over 50 US and International patents, and has twice been designated Master Inventor at IBM for the commercial value of his patents. He has been granted 14 invention achievement awards by IBM for his patents. His work on real time bio-terrorist threat detection in data streams won the IBM Epispire award for environmental excellence in 2003. He has served on the program committee of most major database conferences, and was program chair for the Data Mining and Knowledge Discovery Workshop, 2003, and a program vice-chair for the SIAM Conference on Data Mining, 2007. He is an associate editor of the IEEE Transactions on Data Engineering and an action editor of the Data Mining and Knowledge Discovery Journal. He is a senior member of the IEEE.

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