Advances in Knowledge Discovery and Data Mining: 15th Pacific-Asia Conference, PAKDD 2011, Shenzhen, China, May 24-27, 2011, Proceedings, Part I: Lecture Notes in Computer Science, cartea 6634
Editat de Joshua Zhexue Huang, Longbing Cao, Jaideep Srivastavaen Limba Engleză Paperback – 9 mai 2011
Toate formatele și edițiile | Preț | Express |
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Paperback (2) | 335.90 lei 6-8 săpt. | |
Springer Berlin, Heidelberg – 9 mai 2011 | 335.90 lei 6-8 săpt. | |
Springer Berlin, Heidelberg – 9 mai 2011 | 341.55 lei 6-8 săpt. |
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Specificații
ISBN-13: 9783642208409
ISBN-10: 3642208401
Pagini: 590
Ilustrații: XXIV, 564 p.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.7 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642208401
Pagini: 590
Ilustrații: XXIV, 564 p.
Dimensiuni: 155 x 235 x 33 mm
Greutate: 0.7 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchTextul de pe ultima copertă
The two-volume set LNAI 6634 and 6635 constitutes the refereed proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2011, held in Shenzhen, China in May 2011.
The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knoweldge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.
The total of 32 revised full papers and 58 revised short papers were carefully reviewed and selected from 331 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, machine learning, artificial intelligence and pattern recognition, data warehousing and databases, statistics, knoweldge engineering, behavior sciences, visualization, and emerging areas such as social network analysis.
Caracteristici
Fast-track conference proceedings State-of-the-art research Up-to-date results