Conference Information
KDD 2020: ACM SIGKDD Conference on Knowledge Discovery and Data Mining
https://www.kdd.org/kdd2020/
Submission Date:
2020-02-13
Notification Date:
2020-05-15
Conference Date:
2020-08-22
Location:
San Diego, California, USA
Years:
26
CCF: a   CORE: a*   QUALIS: a1   Viewed: 79362   Tracked: 300   Attend: 25

Conference Location
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Call For Papers
We invite submission of papers describing innovative research on all aspects of knowledge discovery and data mining, ranging from theoretical foundations to novel models and algorithms for data mining problems in science, business, medicine, and engineering. Visionary papers on new and emerging topics are also welcome, as are application-oriented papers that make innovative technical contributions to research. Authors are explicitly discouraged from submitting incremental results that do not provide major advances over existing approaches.

Topics of interest include, but are not limited to:

● Data Science: Methods for analyzing scientific and business data, social networks, time series; mining sequences, streams, text, web, graphs, rules, patterns, logs data, IoT data, spatio-temporal data, biological data; recommender systems, computational advertising, multimedia, finance, bioinformatics.

● Big Data: Large-scale systems for text and graph analysis, machine learning, optimization, sampling, parallel and distributed data mining (cloud, map-reduce, federated learning), novel algorithmic and statistical techniques for big data.

● Foundations: Models and algorithms, asymptotic analysis; model selection, dimensionality reduction, relational/structured learning, matrix and tensor methods, probabilistic and statistical methods; deep learning, meta learning, AutoML, reinforcement learning; classification, clustering, regression, semi-supervised and unsupervised learning; personalization, security and privacy, visualization; fairness, interpretability and robustness.  
Last updated by Dou Sun in 2019-11-19
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
201898310710.9%
2017748648.6%
20161115665.9%
201581916019.5%
2014103615114.6%
201372612517.2%
201275513317.6%
201171412617.6%
201057810117.5%
200953710519.6%
200859311819.9%
200757311119.4%
20064575010.9%
20053587621.2%
20043374011.9%
20032583413.2%
20012035225.6%
20002465020.3%
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