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ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining. 

Hans-Peter Kriegel is the winner of its 2015 Innovation Award.  He is recognized for his influential research and scientific contributions to data mining in clustering, outlier detection and high-dimensional data analysis, including density-based approaches. He has been a Professor of Informatics at Ludwig-Maximilians-Universitaet Muenchen, Germany since 1991. He has published over a wide range of data mining topics including clustering, outlier detection and high-dimensional data analysis. In 2009 the Association for Computing Machinery (ACM) elected Professor Kriegel an ACM Fellow for his contributions to knowledge discovery and data mining, similarity search, spatial data management, and access-methods for high-dimensional data.

Jian Pei is the winner of its 2015 Service Award for his significant technical contributions to the principles, practice and application of data mining and for his outstanding services to society and the data mining community. Pei has a long history of contributing to the frontier of data mining research and serving the data mining community. As one of the most cited authors in data mining, Pei is one of the key organizers of many KDD and data mining conferences and events, such as ACM KDD, IEEE ICDM, SIAM Data Mining, and ACM CIKM, in various roles, such as general co-chair, program committee co-chair, tutorial co-chair, workshop co-chair, and senior program committee member.

ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining. 

As we approach KDD-2015, the largest and highest quality conference on Data Mining, Data Science, and Knowledge Discovery, we want to introduce you to the amazing invited speakers we have lined up in the Industry and Government invited talks program that focuses on applications: deployed, real-world applications in industry and government, with quantifiable value delivered. These talks presents a rare opportunity  ...

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) is a premier conference that brings together researchers and practitioners from data mining, knowledge discovery, data analytics, and big data. KDD 2015 will be held in Sydney, Australia during August 10-13, 2015. It will be the first Australian edition of KDD and the second time held in the Asia Pacific region. Submissions for Research track and Practice track are solicited for KDD 2015 on all aspects of knowledge discovery and data mining.

2014 SIGKDD 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.

The 2014 Test of Time award recognizes the following influential contributions to

ACM Transactions on the Web Editor in Chief – Call For Nominations

Nominations are sought for the next Editor in Chief of the ACM Transactions on the Web (ACM TWEB). TWEB is a journal publishing refereed articles reporting the results of research on Web content, applications, use, and related

SIGKDD Dissertation Awards (1 winner, 1 runner-up and 3 honorable mentions)

ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining. 

Selection Procedure: We received 19 nominations this year, a new record

ACM SIGKDD dissertation awards recognize outstanding work done by graduate students in the areas of data science, machine learning and data mining.