ACM SIGKDD is pleased to announce that Philip S. Yu is the winner of its 2016 Innovation Award. He is recognized for his influential research and scientific contributions on mining, fusion and anonymization of big data.
The ACM SIGKDD Innovation Award is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD). It is conferred on one individual or one group of collaborators whose outstanding technical innovations in the KDD field have had a lasting impact in advancing the theory and practice of the field. The contributions must have significantly influenced the direction of research and development of the field or transferred to practice in significant and innovative ways and/or enabled the development of commercial systems.
By Evangelos Simoudis, Founder and Managing Director at Synapse Partners, on behalf of the KDD-2016 Conference
Big data’s day has come: it dominates headlines and business conversations alike. As industries coalesce around it, the conversations surrounding big data (benefits, issues, challenges)
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NEW YORK, NY— 5/23/2016- The Association of Computing Machinery’s Special Interest Group for Knowledge Discovery and Data Mining (ACM SIGKDD), the world’s oldest and largest
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The KDD Cup 2016 challenge is underway, and the results from Phase 1 are in! This year’s task is to evaluate the most influential organizations in a given domain, such as machine learning, information retrieval, or computer vision. Team submissions are being evaluated on their predictive ability to
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The ACM SIGKDD Test-of-Time Paper Award Committee invites you to nominate papers for the 2016 SIGKDD Test-of-Time Paper Award. This award recognizes papers that have made a sustained and significant impact in the KDD community over at least a decade. The nomination deadline is May 15, 2016.
In the
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NEW YORK, NY—(TBD) - The Association of Computing Machinery’s Special Interest Group for Knowledge Discovery and Data Mining (ACM SIGKDD), the world’s oldest and largest community for data mining, data science and analytics, today announced its 22nd annual conference will take place Aug. 13-17, 2016 at the Hilton Hotel in San Francisco, CA. The event’s main focus is to connect the world’s best data scientists with one another in order to discuss, address and advance the application of data science to benefit all aspects of society.
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Nominations due May 20, 2016 (Friday)
ACM SIGKDD invites your nominations for its 2016 Innovation and Service Awards.
ACM SIGKDD, ACM’s Special Interest Group on Knowledge Discovery and Data Mining (KDD), is the premier global professional organization for researchers and professionals
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The annual SIGKDD doctoral dissertation award recognizes excellent research by doctoral candidates in the field of data mining and knowledge discovery. The award winner and up to two runners-up will be recognized at the KDD conference, and their dissertations will have the opportunity to be published on the KDD Web site (http://www.kdd.org). The award winner will receive a plaque, and a check for $2,500. The award winner will also receive a free registration to attend the KDD conference. The runners-up will receive a plaque at the conference. The award winner and the runners-up will be invited to present his or her work in a special session at the KDD conference.
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The KDD Cup, the most prestigious competition in KDD, is now under way. This year's competition aims at addressing a long-standing puzzle in academic society: how to rank an academic institution? It challenges the KDD Community to develop models to rank academic institutions based on their potential paper acceptance in the upcoming top-tier conferences. In effect, given a research field, we are challenging the KDD Cup community to jointly develop data mining techniques to identify the best research institutions based on their publications and how they are cited in research articles. Join us.
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This call for proposal solicits industry or academic institutes to submit their proposal as the potential organizer of the 2016 KDD Cup competition.
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ACM SIGKDD Executive Committee hereby invites proposals to host the annual KDD Conference in 2018. The conference should take place in August 2018.
KDD is the flagship conference of ACM SIGKDD and the premier research conference on data science and data mining. Proposals for host KDD-2018 should
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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.
The 2015 Test of Time award recognizes the following influential contributions to SIGKDD that have withstood the test of time.
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 ...
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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.
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The 2014 Test of Time award recognizes the following influential contributions to SIGKDD that have withstood the test of time:
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
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