Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Guojun Gan
  • Publisher: Springer
  • ISBN: 3030050904
  • Category : Computers
  • Languages : en
  • Pages : 538

This book constitutes the refereed proceedings of the 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, held in Nanjing, China in November 2018. The 23 full and 22 short papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers were organized in topical sections named: Data Mining Foundations; Big Data; Text and Multimedia Mining; Miscellaneous Topics.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Longbing Cao
  • Publisher: Springer
  • ISBN: 3642173136
  • Category : Computers
  • Languages : en
  • Pages : 576

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.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Xue Li
  • Publisher: Springer Science & Business Media
  • ISBN: 3540370250
  • Category : Computers
  • Languages : en
  • Pages : 1130

Here are the proceedings of the 2nd International Conference on Advanced Data Mining and Applications, ADMA 2006, held in Xi'an, China, August 2006. The book presents 41 revised full papers and 74 revised short papers together with 4 invited papers. The papers are organized in topical sections on association rules, classification, clustering, novel algorithms, multimedia mining, sequential data mining and time series mining, web mining, biomedical mining, advanced applications, and more.


Advanced Data Mining Techniques

Advanced Data Mining Techniques

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  • Author: David L. Olson
  • Publisher: Springer Science & Business Media
  • ISBN: 354076917X
  • Category : Business & Economics
  • Languages : en
  • Pages : 180

This book covers the fundamental concepts of data mining, to demonstrate the potential of gathering large sets of data, and analyzing these data sets to gain useful business understanding. The book is organized in three parts. Part I introduces concepts. Part II describes and demonstrates basic data mining algorithms. It also contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Jie Tang
  • Publisher: Springer Science & Business Media
  • ISBN: 3642258522
  • Category : Computers
  • Languages : en
  • Pages : 437

The two-volume set LNAI 7120 and LNAI 7121 constitutes the refereed proceedings of the 7th International Conference on Advanced Data Mining and Applications, ADMA 2011, held in Beijing, China, in December 2011. The 35 revised full papers and 29 short papers presented together with 3 keynote speeches were carefully reviewed and selected from 191 submissions. The papers cover a wide range of topics presenting original research findings in data mining, spanning applications, algorithms, software and systems, and applied disciplines.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Xiaochun Yang
  • Publisher: Springer Nature
  • ISBN: 3031466748
  • Category : Computers
  • Languages : en
  • Pages : 717

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Xiaochun Yang
  • Publisher: Springer Nature
  • ISBN: 3031466713
  • Category : Computers
  • Languages : en
  • Pages : 386

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Xiaochun Yang
  • Publisher: Springer Nature
  • ISBN: 3031466616
  • Category : Computers
  • Languages : en
  • Pages : 848

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Xiaochun Yang
  • Publisher: Springer Nature
  • ISBN: 3031466640
  • Category : Computers
  • Languages : en
  • Pages : 722

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.


Advanced Data Mining and Applications

Advanced Data Mining and Applications

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  • Author: Xiaochun Yang
  • Publisher: Springer Nature
  • ISBN: 3031466772
  • Category : Computers
  • Languages : en
  • Pages : 670

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.