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Advanced Data Mining And Applications: 6th International Conference, Adma 2010, Chongqing, China, November 19-21, 2010, Proceedings, Part I (lecture . / Lecture Notes In Artificial Intelligence) 🔍
LONGBING CAO YONG FENG JIANG ZHONG, Longbing Cao, Yong Feng, Jiang Zhong, International Conference on Advanced Data Mining and Applications, ADMA, Editor-longbing Cao, Editor-yong Feng, Editor-jiang Zhong, ADMA (Conference), ADMA 2010 Springer Berlin Heidelberg Imprint : Springer, 2010, 2010
英语 [en] · PDF · 140.9MB · 2010 · 📗 未知类型的图书 · 🚀/duxiu/zlibzh · Save
描述
Annotation This book constitutes the refereed proceedings of the 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, held in Chongqing, China, in November 2010.63 carefully reviewed regular papers and 55 revised short papers were presented. The papers are organized in topical sections on data mining foundations; data mining in specific areas; data mining methodologies and processes; and data mining applications and systems The overwhelming demand for information processing is not just about a better understanding of data, but also a better usage of data in a timely fashion. , spatialdata mining, biomedical data mining, and mining on high-speed and time-variant data streams.
备用文件名
zlibzh/no-category/LONGBING CAO YONG FENG JIANG ZHONG, Longbing Cao, Yong Feng, Jiang Zhong, International Conference on Advanced Data Mining and Applications, ADMA, Editor-longbing Cao, Editor-yong Feng, Editor-jiang Zhong, ADMA (Conference), ADMA 2010/ADVANCED DATA MINING AND APPLICATIONS_117828099.pdf
备选标题
Advanced data mining and applications : 4th international conference, ADMA 2010, Chengdu, China, November 19-21, 2010 : proceedings, Part I
备选标题
Advanced data mining and applications Pt. 2
备选作者
Longbing Cao, Yong Feng, Jiang Zhong, Hiroshi Motoda, Zhaohui Wu
备选作者
edited by Longbing Cao, Jiang Zhong, Yong Feng
备选作者
Cao, Longbing, Feng, Yong, Zhong, Jiang
备用出版商
Spektrum Akademischer Verlag. in Springer-Verlag GmbH
备用出版商
Springer Berlin Heidelberg : Springer e-books
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Springer-Verlag New York Inc
备用出版商
Springer Nature
备用版本
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Ser, New York, Nov. 2010
备用版本
Lecture Notes in Computer Science -- 6441, Berlin, Heidelberg, Germany, 2010
备用版本
Lecture notes in computer science, 6440, Berlin, Heidelberg, 2010
备用版本
Lecture notes in computer science, Berlin ; New York, 2010
备用版本
Springer Nature, Berlin, Heidelberg, 2010
备用版本
Germany, Germany
备用版本
1, 20101118
备用版本
2010, 2011
备用版本
2013
元数据中的注释
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元数据中的注释
MiU
备用描述
With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding 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 ofdata and to help peoplemakeinformed,sensible,and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat 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. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out 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 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining ?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers.
Erscheinungsdatum: 05.11.2010
备用描述
With the ever-growing power of generating, transmitting, and collecting huge amounts of data, information overloadis nowan imminent problemto mankind. The overwhelming demand for information processing is not just about a better understanding 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 ofdata and to help peoplemakeinformed, sensible, and better decisions. At present, growing attention has been paid to the study, development, and application of data mining. As a result there is an urgent need for sophisticated techniques and toolsthat 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. The 6th International Conference on Advanced Data Mining and Appli- tions(ADMA2010)aimedtobringtogethertheexpertsondataminingthrou- out 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 361 online submissions from 34 di?erent countries and areas. All full papers were peer reviewed by at least three members of the Program Comm- tee composed of international experts in data mining?elds. A total number of 118 papers were accepted for the conference. Amongst them, 63 papers were selected as regular papers and 55 papers were selected as short papers
备用描述
The two-volume set LNCS 8346 and 8347 constitutes the thoroughly refereed proceedings of the 9th International Conference on Advanced Data Mining and Applications, ADMA 2013, held in Hangzhou, China, in December 2013. The 32 regular papers and 64 short papers presented in this volume were carefully reviewed and selected from 222 submissions. The papers included in these two volumes cover the following topics: opinion mining, behavior mining, data stream mining, sequential data mining, web mining, image mining, text mining, social network mining, classification, clustering, association rule mining, pattern mining, regression, predication, feature extraction, identification, privacy preservation, applications, and machine learning.
备用描述
This book constitutes the refereed proceedings of the 6th International Conference on Advanced Data Mining and Applications, ADMA 2010, held in Chongqing, China, in November 2010. 63 carefully reviewed regular papers and 55 revised short papers were presented. The papers are organized in topical sections on data mining foundations; data mining in specific areas; data mining methodologies and processes; and data mining applications and systems
备用描述
They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.
开源日期
2024-06-13
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