Advanced Data Mining and Applications

Xue Li

ISBN 10: 354027894X / ISBN 13: 9783540278948

Published by Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2005, 2005

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -With the ever-growing power to generate, transmit and collect huge amounts of data, information overload is now an imminent problem to mankind. The overwhelming demand for information processing is not just about a better - derstanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects of dataand to help peoplemakeinformed,sensible, andbetter decisions. At present, growing attention has been paid to the study, development and - plication of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new elds of data mining, e.g., spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The1stInternationalConferenceonAdvancedDataMiningandApplications (ADMA 2005) aimed to bring together the experts on data mining throughout the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di erent applied disciplines. The conference attracted 539 online submissions and 63 mailing submissions from 25 di erent countriesandareas.Allfullpaperswerepeer reviewedbyatleastthreemembers of the Program Committee composed of international experts in data mining elds. A total number of 100 papers were accepted for the conference. Amongst them 25 papers were selected as regular papers and 75 papers were selected as short papers, yielding a combined acceptance rate of 17%.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 860 pp. Englisch.

Seller Inventory # 9783540278948

Bibliographic Details

• Title: Advanced Data Mining and Applications
• Publisher: Springer Berlin Heidelberg, Springer Berlin Heidelberg Jul 2005
• Publication Date: 2005
• Language: English
• ISBN 10: 354027894X
• ISBN 13: 9783540278948
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 46D millimeters 235 millimeters width by 155 millimeters height by 46 millimeters depth
• Weight: 1276 grams

About this title

Synopsis

With the ever-growing power to generate, transmit and collect huge amounts of data, information overload is now an imminent problem to mankind. The overwhelming demand for information processing is not just about a better - derstanding of data, but also a better usage of data in a timely fashion. Data mining, or knowledge discovery from databases, is proposed to gain insight into aspects of dataand to help peoplemakeinformed,sensible, andbetter decisions. At present, growing attention has been paid to the study, development and - plication of data mining. As a result there is an urgent need for sophisticated techniques and tools that can handle new ?elds of data mining, e.g., spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams. The knowledge of data mining should also be expanded to new applications. The1stInternationalConferenceonAdvancedDataMiningandApplications (ADMA 2005) aimed to bring together the experts on data mining throughout the world. It provided a leading international forum for the dissemination of original research results in advanced data mining techniques, applications, al- rithms, software and systems, and di?erent applied disciplines. The conference attracted 539 online submissions and 63 mailing submissions from 25 di?erent countriesandareas.Allfullpaperswerepeer reviewedbyatleastthreemembers of the Program Committee composed of international experts in data mining ?elds. A total number of 100 papers were accepted for the conference. Amongst them 25 papers were selected as regular papers and 75 papers were selected as short papers, yielding a combined acceptance rate of 17%.