ICDM

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ICDM, IEEE数据挖掘国际会议(IEEE International Conference on Data Mining)是世界范围内有影响的一个关于数据挖掘的国际会议。到目前为止已经召开了4届。

ICDM的主题：数据挖掘的理论，系统和应用的设计，分析和实现. 包括但不限于下列内容:

• 数据挖掘基础
• 数据挖掘和机器学习算法与方法 in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis), and in new areas
• Mining text and semi-structured data, and mining temporal, spatial and multimedia data
• Mining data streams
• Pattern recognition and trend analysis
• Collaborative filtering/personalization
• Data and knowledge representation for data mining
• Query languages and user interfaces for mining
• Complexity, efficiency, and scalability issues in data mining
• Data pre-processing, data reduction, feature selection and feature transformation
• Post-processing of data mining results
• Statistics and probability in large-scale data mining
• Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining
• Integration of data warehousing, OLAP and data mining
• Human-machine interaction and visual data mining
• High performance and parallel/distributed data mining
• Quality assessment and interestingness metrics of data mining results
• 安全，隐私和数据挖掘的社会影响
• Data mining applications in bioinformatics, electronic commerce, Web, intrusion detection, finance, marketing, healthcare, telecommunications and other fields

历年ICDM会议列表

1. ICDM2001：美国聖荷西 (美國加州)[1]
2. ICDM2002: 日本前橋市[2]
3. ICDM2003: 美国墨尔本(美国)[3]
4. ICDM2004: 英国布里奇顿[4]

即将召开的ICDM会议

1. ICDM2005: 美国休斯顿 [5]
2. ICDM2006: 德国莱比锡

[编辑] 外部链接：

1. ICDM历年论文集
2. IEEE ICDM主页