Dr. Ying Li Awarded the 2012 SIGKDD Service Award

Dr. Ying Li Awarded the 2012 SIGKDD Service Award

ACM SIGKDD is pleased to announce that Dr. Ying Li is the winner of its 2012 Service Award.  Dr. Ying Li is recognized for her substantial technical contributions to the practice and application of data mining and for her outstanding service to the global KDD community.

 
ACM SIGKDD Service

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2012 - Big Data: End of the World or End of BI?

2012 - Big Data: End of the World or End of BI?

Thursday, June 28, 2012 at 12:00 PM EDT/11:00 AM CDT/9:00 AM PDT/4:00 PM UTC 

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According to some, the world will end at the Winter Solstice this year. If not, it’s certainly time to take a closer look at Business Intelligence (BI) and ask: “After 20 years,

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KDD 2012: Welcome to Beijing!

KDD 2012: Welcome to Beijing!

We are weeks away from the 18th International ACM SIGKDD Conference, KDD 2012! As we approach early bird registration for the conference, I wanted to take a minute and share with you the importance of the event and encourage you to take advantage of the upcoming early bird registration.

For the

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The Age of Big Data: From KDD-89 to KDD-2012

The Age of Big Data: From KDD-89 to KDD-2012

We live in the age of Big Data - the Second major revolution in modern civilization after the Industrial revolution: the Information Revolution.  Big data is used to improve sales, reduce customer attrition, recommend movies, music, and people, reduce fraud, predict crime, find new drugs, develop

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1999 SIGKDD Best Paper Awards

The award recognizes papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining.

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1998 SIGKDD Best Paper Awards

The award recognizes papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining.

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1997 SIGKDD Best Paper Awards

The award recognizes papers presented at the annual SIGKDD conference that advance the fundamental understanding of the field of knowledge discovery in data and data mining.

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