Data Mining: An AI Perspective

نویسنده

  • Xindong Wu
چکیده

DaWaK 2003: 5th International Conference on Data Warehousing and Knowledge Discovery (September 35, 2003, Prague, Czech Repblic) Abstract--Data mining, or knowledge discovery in databases (KDD), is an interdisciplinary area that integrates techniques from several fields including machine learning, statistics, and database systems, for the analysis of large volumes of data. This paper reviews the topics of interest from the IEEE International Conference on Data Mining (ICDM) from an AI perspective. We discuss common topics in data mining and AI, including key AI ideas that have been used in both data mining and machine learning. PKDD-2003: 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (September 22-26, 2003, Cavtat-Dubrovnik, Croatia) SAS M2003: 6th Annual Data Mining Technology Conference (October 13-14, 2003, Las Vegas, NV, USA) Data Warehousing & Data Mining for Energy Companies (October 16-17, 2003, Houston, TX, USA)

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عنوان ژورنال:
  • IEEE Intelligent Informatics Bulletin

دوره 4  شماره 

صفحات  -

تاریخ انتشار 2004