Categories |
BIG DATA
DATA MINING
PATTERN MINING
MACHINE LEARNING
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About |
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Association (frequent pattern) mining is a fruitful and important area of study that seeks (a) to discover what items (objects) appear frequently together and (b) to predict, given a set of objects, what other objects are likely to occur. Association mining has been successfully utilized for web log analysis, analysis of customer buying, biomedical knowledge mining, among others. However, a key drawback in association mining is the users need to take additional steps to make the information actionable. This includes, in many cases, in detecting what differences resides between groups, such that any changes are actionable. Research in this area finds a home in a number of related aread, including discriminative pattern mining, contrast mining, emerging pattern mining, action rule mining and subgroup discovery. The motivation in organizing this workshop the 2020 IEEE International Conference on Big Data is to attract novel papers in the development and application of algorithms within the above fields and to encourage conversations and idea exchange between the subfields. |
Call for Papers |
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Topics of interest to this workshop include (but are not limited to):
Authors of accepted papers will be expected to present their research at the workshop. |
Summary |
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DPM 2020 : Discriminative Pattern Mining Workshop will take place in Atlanta, Georgia, USA. It’s a 4 days event starting on Dec 10, 2020 (Thursday) and will be winded up on Dec 13, 2020 (Sunday). DPM 2020 falls under the following areas: BIG DATA, DATA MINING, PATTERN MINING, MACHINE LEARNING, etc. Submissions for this Workshop can be made by Oct 01, 2020. Authors can expect the result of submission by Nov 01, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Nov 25, 2020 to the official website of the Workshop. Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines. Other Details of the DPM 2020
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Credits and Sources |
| [1] DPM 2020 : Discriminative Pattern Mining Workshop |
