Difference between revisions of "ADMA 2016"

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The 12. International Conference on Advanced Data Mining and Applications (ADMA) 2016
 
The 12. International Conference on Advanced Data Mining and Applications (ADMA) 2016
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==Topics==
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Advanced Data Mining Topics:<br>
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*Grand challenges of data mining
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*Parallel and distributed data mining algorithms
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*Mining on data streams
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*Graph mining
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*Spatial data mining
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*Text, video, multimedia data mining
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*Web mining
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*High performance data mining algorithms
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*Correlation mining
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*Bench marking and evaluations
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*Interactive data mining
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*Data-mining-ready structures and pre-processing
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*Data mining visualization
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*Information hiding in data mining
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*Security and privacy issues
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*Competitive analysis of mining algorithms
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*Internet of Things
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Data Mining Applications in following areas:<br>
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*Database administration, indexing, performance tuning
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*Green computing data mining
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*Grid computing
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*DNA sequencing, bioinformatics, genomics, and biometrics
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*Image interpretations
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*E-commerce and Web services
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*Medical informatics
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*Disaster prediction
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*Remote monitoring
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*Financial market analysis
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*Online filtering
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*Application of Data Mining in Education
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*Social network data mining
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*Smartphone data mining
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*Big data
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*Web of Things

Revision as of 11:54, 25 February 2022

ADMA 2016
International Conference on Advanced Data Mining and Applications
Ordinal 12
Event in series ADMA
Dates 2016/12/12 (iCal) - 2016/12/15
Presence presence
Homepage: https://cs.adelaide.edu.au/~adma2016/
Location
Location: Gold Coast, Queensland, Australia
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Papers: Submitted 105 / Accepted 70 (66.7 %)
Table of Contents



The 12. International Conference on Advanced Data Mining and Applications (ADMA) 2016


Topics

Advanced Data Mining Topics:

  • Grand challenges of data mining
  • Parallel and distributed data mining algorithms
  • Mining on data streams
  • Graph mining
  • Spatial data mining
  • Text, video, multimedia data mining
  • Web mining
  • High performance data mining algorithms
  • Correlation mining
  • Bench marking and evaluations
  • Interactive data mining
  • Data-mining-ready structures and pre-processing
  • Data mining visualization
  • Information hiding in data mining
  • Security and privacy issues
  • Competitive analysis of mining algorithms
  • Internet of Things

Data Mining Applications in following areas:

  • Database administration, indexing, performance tuning
  • Green computing data mining
  • Grid computing
  • DNA sequencing, bioinformatics, genomics, and biometrics
  • Image interpretations
  • E-commerce and Web services
  • Medical informatics
  • Disaster prediction
  • Remote monitoring
  • Financial market analysis
  • Online filtering
  • Application of Data Mining in Education
  • Social network data mining
  • Smartphone data mining
  • Big data
  • Web of Things