Entries tagged with Award Winner

2015 SIGKDD Innovation Award: Hans-Peter Kriegel

2015 SIGKDD Innovation Award: Hans-Peter Kriegel: 2015 SIGKDD Innovation Award Winner

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.

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2015 SIGKDD Service Award: Jian Pei

2015 SIGKDD Service Award: Jian Pei: 2015 SIGKDD Service Award Winner

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.

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2014 SIGKDD Dissertation Award Winners

2014 SIGKDD Dissertation Award Winners: 2014 SIGKDD Dissertation Award

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

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2014 SIGKDD Innovation Award: Pedro Domingos

2014 SIGKDD Innovation Award: Pedro Domingos: 2014 SIGKDD Innovation Award Winner

Prof. Domingos carried out some of the earliest research on mining data streams. His VFDT algorithm was the first to be capable of learning decision trees from streams while guaranteeing that the result is very close to that of batch learning, and remains the fastest decision tree learner available. He went on to generalize the ideas in VFDT to clustering, the EM algorithm, Bayesian network structure learning, and other problems. The resulting VFML toolkit is one of the best open-source resources for stream mining.

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2013 SIGKDD Innovation Award: Prof. Jon Kleinberg

2013 SIGKDD Innovation Award: Prof. Jon Kleinberg: 2013 SIGKDD Innovation Award Winner

ACM SIGKDD is pleased to announce that Prof. Jon Kleinberg is the winner of the 2013 Innovation Award. He is recognized for his seminal contributions to the analysis of social and information networks, mining the web graph, study of cascading behaviors in networks, and the development of algorithmic models of human behavior.

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