KDD 2015

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KDD 2015
21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Event in series KDD
Dates 2015/08/10 (iCal) - 2015/08/13
Homepage: www.kdd.org/kdd2015/
Location
Location: Sydney, Australia
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Important dates
Submissions: 2015/02/20
Papers: Submitted 819 / Accepted 160 (19.5 %)
Table of Contents


Event


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 significant advances over existing approaches.

Papers submitted to the Research Track are solicited in all areas of data mining, knowledge discovery, and large-scale data analytics, including, but not limited to:

  • Big Data: Efficient and distributed data mining platforms and algorithms, systems for large-scale data analytics of textual and graph data, large-scale machine learning systems, distributed computing (cloud, map-reduce, MPI), large-scale optimization, and novel statistical techniques for big data.
  • Data Science: Methods for analyzing scientific data, business data, social network analysis, recommender systems, mining sequences, time series analysis, online advertising, bioinformatics, systems biology, text/web analysis, mining temporal and spatial data, and multimedia processing.
  • Foundations of Data Mining: Data mining methodology, data mining model selection, visualization, asymptotic analysis, information theory, security and privacy, graph and link mining, rule and pattern mining, web mining, dimensionality reduction and manifold learning, combinatorial optimization, relational and structured learning, matrix and tensor methods, classification and regression methods, semi-supervised learning, and unsupervised learning and clustering.
Facts about "KDD 2015"
Acceptance rate19.5 +
Accepted papers160 +
AcronymKDD 2015 +
End dateAugust 13, 2015 +
Event in seriesKDD +
Has coordinates-33° 51' 17", 151° 12' 59"Latitude: -33.854816666667
Longitude: 151.21645277778
+
Has location citySydney +
Has location countryCategory:Australia +
Homepagehttp://www.kdd.org/kdd2015/ +
IsAEvent +
Start dateAugust 10, 2015 +
Submission deadlineFebruary 20, 2015 +
Submitted papers819 +
Title21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining +