Wednesday, August 20, 2014

Zementis Sponsors SIGKDD 2014 Test of Time Award

The SIGKDD Test of Time Award recognizes outstanding papers from past KDD conferences beyond the last decade that have had an important impact on the data mining research community.  SIGKDD is the ACM Special Interest Group for Knowledge Discovery and Data Mining.  Not only since the advent of “Big Data”, but for 20 years, the annual SIGKDD conference has been the leading global forum for data scientists and practitioners from academia, industry and government to disseminate cutting edge research results and to demonstrate innovative applications.


It is our privilege to support the SIGKDD 2014 Test of Time Award as it recognizes influential contributions published in KDD conference proceedings which have had a substantial impact on data science.  Selected by a committee of leading scientists and supported by thousands of citations since their original publication, one could almost call it the “Nobel Prize in Data Science.”





The following three papers were selected by the award committee to receive the inaugural award:

  • A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise [KDD 1996]
  • Integrating Classification and Association Rule Mining [KDD 1998]
  • Maximizing the Spread of Influence through a Social Network [KDD 2003]
For abstracts and additional details, please see the SIGKDD web site blog.

Please join us at KDD 2014 in New York City, August 24-27, to celebrate the winners at an interdisciplinary event which will bring together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

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