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From the News Desk
Monday, 25. August 2008
Dr. Ramakrishnan from Yahoo Honored with Highest Technical Award in Data Mining
Dr. Raghu Ramakrishnan, Yahoo vice president, research fellow and chief scientist for the Audience Technology and Cloud Computing & Data Infrastructure (CCDI) groups, was recently awarded with the 2008 Innovation Award by the Association for Computing Machinery (ACM) Special interest Group on Knowledge Discovery and Data Mining (SIGKDD).
"ACM SIGKDD is pleased to present Dr. Raghu Ramakrishnan with its 2008 Innovation Award for his important contributions to the advancement of the data mining and knowledge discovery," said Gregory Piatetsky-Shapiro, chair of ACM SIGKDD. "Dr. Ramakrishnan's visionary research on techniques for scaling data mining algorithms to large datasets, and on mining ordered and streaming data has significantly influenced ongoing developments in the industry."
Ramakrishnan's contributions span foundational technical innovation and algorithmic and systems aspects of data mining. His work on scalable data mining algorithms started with BIRCH, the first truly scalable clustering algorithm, and his resulting paper is one of the highest-cited data mining resources in the last decade. Ramakrishnan later extended this work into a clustering framework for arbitrary metric spaces.
ACM's SIGKDD Innovation Award is given to one individual or one group of collaborators who has made significant technical innovations in the field of Data Mining and Knowledge Discovery that have been transferred to practice in significant ways, or that have significantly influenced direction of research and development in the field. This award is considered to be the highest technical award in the fields of data mining and knowledge discovery.
"ACM SIGKDD is pleased to present Dr. Raghu Ramakrishnan with its 2008 Innovation Award for his important contributions to the advancement of the data mining and knowledge discovery," said Gregory Piatetsky-Shapiro, chair of ACM SIGKDD. "Dr. Ramakrishnan's visionary research on techniques for scaling data mining algorithms to large datasets, and on mining ordered and streaming data has significantly influenced ongoing developments in the industry."
Ramakrishnan's contributions span foundational technical innovation and algorithmic and systems aspects of data mining. His work on scalable data mining algorithms started with BIRCH, the first truly scalable clustering algorithm, and his resulting paper is one of the highest-cited data mining resources in the last decade. Ramakrishnan later extended this work into a clustering framework for arbitrary metric spaces.
ACM's SIGKDD Innovation Award is given to one individual or one group of collaborators who has made significant technical innovations in the field of Data Mining and Knowledge Discovery that have been transferred to practice in significant ways, or that have significantly influenced direction of research and development in the field. This award is considered to be the highest technical award in the fields of data mining and knowledge discovery.
