2012 - IEEE International Conference on Data Mining (ICDM 2012) - PhD Forum
Topics/Call fo Papers
The IEEE Int. Conference on Data Mining will host for the second year a PhD Forum on Data Mining. The aim of the Forum is to provide an international environment in which students can meet and exchange their ideas and experiences both with peers and with senior researchers from the Data Mining Community. The Forum is particularly aimed at PhD students in the early stages of their career and Master’s students planning to pursue their research in a PhD programme.
The audience of the event will be mainly PhD students and their advisors, researchers and in general the audience of ICDM. During the workshop, researchers with experience in supervising and examining PhD students will be able to participate and provide feedback and advice to the participants.
The topics of the discussion will be their ideas and their work in progress in preparation of their PhD dissertation and their interests in the Data Mining field. The PhD Forum will span over all the topics of data mining and other research fields in which Data Mining benefits from cross-fertilization, such as machine learning, statistics, databases, natural language processing, information retrieval, WWW, data visualization, multimedia, bioinformatics, knowledge-based systems, pattern matching and high performance computing. Participants with interdisciplinary work across the areas are particularly encouraged.
The audience of the event will be mainly PhD students and their advisors, researchers and in general the audience of ICDM. During the workshop, researchers with experience in supervising and examining PhD students will be able to participate and provide feedback and advice to the participants.
The topics of the discussion will be their ideas and their work in progress in preparation of their PhD dissertation and their interests in the Data Mining field. The PhD Forum will span over all the topics of data mining and other research fields in which Data Mining benefits from cross-fertilization, such as machine learning, statistics, databases, natural language processing, information retrieval, WWW, data visualization, multimedia, bioinformatics, knowledge-based systems, pattern matching and high performance computing. Participants with interdisciplinary work across the areas are particularly encouraged.
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Last modified: 2012-04-18 21:57:15