Produktnummer:
18c4273e95c5144ce982f4e67f03628a7d
Themengebiete: | Clustering classification cluster analysis collaborative filtering crawling data mining ensemble classification knowledge discovery machine learning multi-dimensional search |
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Veröffentlichungsdatum: | 28.07.2009 |
EAN: | 9783642033476 |
Sprache: | Englisch |
Seitenzahl: | 807 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Gama, João Huang, Ronghuai Li, Xue Meng, Xiaofeng Pei, Jian Yang, Qiang |
Verlag: | Springer Berlin |
Untertitel: | 5th International Conference, ADMA 2009, Chengdu, China, August 17-19, 2009, Proceedings |
Produktinformationen "Advanced Data Mining and Applications"
This volume contains the proceedings of the International Conference on Advanced Data Mining and Applications (ADMA 2009), held in Beijing, China, during August 17–19, 2009. We are pleased to have a very strong program. Acceptance into the conference proceedings was extremely competitive. From the 322 submissions from 27 countries and regions, the Program Committee selected 34 full papers and 47 short papers for presentation at the conference and inclusion in the proceedings. The c- tributed papers cover a wide range of data mining topics and a diverse spectrum of interesting applications. The Program Committee worked very hard to select these papers through a rigorous review process and extensive discussion, and finally c- posed a diverse and exciting program for ADMA 2009. An important feature of the main program was the truly outstanding keynote spe- ers program. Edward Y. Chang, Director of Research, Google China, gave a talk titled "Confucius and 'Its' Intelligent Disciples". Being right in the forefront of data mining applications to the world's largest knowledge and data base, the Web, Dr. Chang - scribed how Google's Knowledge Search product help to improve the scalability of machine learning for Web-scale applications. Charles X. Ling, a seasoned researcher in data mining from the University of Western Ontario, Canada, talked about his in- vative applications of data mining and artificial intelligence to gifted child education.

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