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DATA MINING
STATISTICS
MACHINE LEARNING
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About |
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As a basic and effective tool for explanation, prediction and decision making, causal relationships have been utilized in almost all disciplines. Traditionally, causal relationships are identified by making use of interventions or randomized controlled experiments. However, conducting such experiments is often expensive or even impossible due to cost or ethical concerns. Therefore there has been an increasing interest in discovering causal relationships based on observational data, and in the past few decades, significant contributions have been made to this field by computer scientists. Inspired by such achievements and following the success of CD 2016 - CD 2019, CD 2020 continues to serve as a forum for researchers and practitioners in data mining and other disciplines to share their recent research in causal discovery in their respective fields and to explore the possibility of interdisciplinary collaborations in the study of causality. Based on the platform of KDD, this workshop is especially interested in attracting contributions that link data mining/machine learning research with causal discovery, and solutions to causal discovery in large scale data sets. Papers accepted by the workshop are to be published in Proceedings of Machine Learning Research (and presented virtually on the workshop day). |
Call for Papers |
Topics of InterestThe workshop invites submissions on all topics of causal discovery, including but not limited to:
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Summary |
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CD 2020 : The KDD'20 Workshop on Causal Discovery will take place in San Diego. It’s a 1 day event starting on Aug 24, 2020 (Monday) and will be winded up on Aug 24, 2020 (Monday). CD 2020 falls under the following areas: DATA MINING, STATISTICS, MACHINE LEARNING, etc. Submissions for this Workshop can be made by May 20, 2020. Authors can expect the result of submission by Jun 15, 2020. Upon acceptance, authors should submit the final version of the manuscript on or before Jul 15, 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 CD 2020
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Credits and Sources |
| [1] CD 2020 : The KDD'20 Workshop on Causal Discovery |
