KDD 2020 : KDD 2020
Conference Series : Knowledge Discovery and Data Mining
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.
All deadlines are at 11:59PM Alofi Time. There will be absolutely no exception to these
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.