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Knowledge Discovery and Data Mining

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When :  2017-08-13

Where :  Halifax, Nova Scotia,Canada

Submission Deadline :  2017-02-17

Categories :   Data Mining ,  Multimedia, Computer Graphics & Animation      

Knowledge Discovery and Data Mining (KDD 2017)

Aug 13-17,2017

Halifax, Nova Scotia - Canada

Call For Papers

We invite organization proposals for KDD Cup 2017. Starting from 1997, KDD Cup has been the most prestigious annual data mining competition held in conjunction with the ACM SIGKDD conference on Knowledge Discovery and Data Mining. KDD 2017 will be held in Halifax, Canada from Aug 14th to Aug 17th, 2017. The competition is anticipated to last for 2~4 months, and the winner is supposed to be notified by mid-June. The winners will be announced during the KDD conference and present their solutions in the KDD Cup workshop during the conference.This call for proposal solicits industry or academic institutes to submit their proposal as the potential organizer of the 2017 KDD Cup competition. We are looking for a strong proposal that contains most of the following features from a proposed task: a novel and motivated goal, a rigid and fair setup, challenging yet manageable task, and accessibility to the public. 

Topics of Interest

  • Big Data: Large-scale systems for text and graph analysis, machine learning, optimization, parallel and distributed data mining (cloud, map-reduce), novel algorithmic and statistical techniques for big data.
  • Data Science: Methods for analyzing scientific and business data, social networks, time series; mining sequences, streams, text, web, graphs, rules, patterns, logs data, spatio-temporal data, biological data; recommender systems, computational advertising, multimedia, finance, bioinformatics.
  • Foundations: Models and algorithms, asymptotic analysis; model selection, dimensionality reduction, relational/structured learning, matrix and tensor methods, probabilistic and statistical methods; deep learning; manifold learning, classification, clustering, regression, semi-supervised and unsupervised learning; personalization, security and privacy, visualization.

    Important Dates

  • Submission: February 17, 2017
  • Notification: May 19, 2017
  • Camera-ready: June 16, 2017
  • User Name : Anika
    Posted 30-11-2016 on 10:54:10 AEDT


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