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.


Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence

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  • Author: Trivedi, Shrawan Kumar
  • Publisher: IGI Global
  • ISBN: 1522520325
  • Category : Computers
  • Languages : en
  • Pages : 438

The development of business intelligence has enhanced the visualization of data to inform and facilitate business management and strategizing. By implementing effective data-driven techniques, this allows for advance reporting tools to cater to company-specific issues and challenges. The Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining, this publication is an ideal reference source for research scholars, management faculty, and practitioners.


Advanced data mining and applications

Advanced data mining and applications

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  • Author: Jie Tang
  • Publisher:
  • ISBN:
  • Category :
  • Languages : en
  • Pages :