Research frontiers in advanced data mining technologies and applications

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Research in data mining has two general directions: theoretical foundations and advanced technologies and applications. In this talk, we will focus on the research issues for advanced technologies and applications in data mining and discuss some recent progress in this direction, including (1) pattern mining, usage, and understanding, (2) information network analysis, (3) stream data mining, (4) mining moving object data, RFID data, and data from sensor networks, (5) spatiotemporal and multimedia data mining, (6) biological data mining, (7) text and Web mining, (8) data mining for software engineering and computer system analysis, and (9) data cube-oriented multidimensional online analytical processing.

Original languageEnglish (US)
Title of host publicationAdvances in Knowledge Discovery and Data Mining - 11th Pacific-Asia Conference, PAKDD 2007, Proceedings
PublisherSpringer
Pages1-5
Number of pages5
ISBN (Print)9783540717003
DOIs
StatePublished - 2007
Event11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007 - Nanjing, China
Duration: May 22 2007May 25 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4426 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2007
Country/TerritoryChina
CityNanjing
Period5/22/075/25/07

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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