“Having a forum, at which the brightest minds can share their findings and exchange ideas, where science and business intersect drives the knowledge discovery and data mining field forward.” Dr. Qi Lu, president of the Online Services Division, Microsoft
New York, NY (PRWEB) June 9, 2010
The world’s leading Knowledge Discovery and Data Mining conference (KDD), organized by the Association for Computing Machinery Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD), will convene in Washington DC, from July 25-28, 2010. Attracting hundreds of high caliber scientists, academics and students, as well as renowned industry experts, KDD 2010 is the top forum to present and discuss academic and industry advances in data mining and predictive analytics. Topics range from understanding social graphs with hundreds of millions of users, to clustering and recommendation predictive analytics algorithms, to innovative social network classification approaches that chart new directions to discover and take advantage of data.
As broadband and digital device adoption increases and permeates all industries and areas of life, data becomes a critical resource and an asset, leading experts to proclaim the dawn of the “data-centric” economy. As a result, interpreting, managing and utilizing the vast amounts of data have become a top priority for scientists and businesses, who will share their latest achievements at KDD 2010, the premier data mining and predictive analytics event that brings together experts from the worlds of academia and industry.
Further demonstrating the growing importance of data mining and knowledge discovery, this year’s conference will feature two prominent experts:
- Dr. Qi Lu, President of Online Services Division for Microsoft will speak on Microsoft’s online services strategy to empower people with knowledge and the importance of data in driving scale Internet business that delivers real customer value.
- Dr. Yoav Freund, Professor at University of California, San Diego, and recipient of the Gödel Prize for his work on the AdaBoost algorithm, will describe how his group uses machine learning to glean useful information from data streams generated by research in cellular biology, oceanography, human-computer and human-human interaction.
“There is no doubt that data and the ability to use it is at the heart of any organization’s success,” said Dr. Qi Lu, president of the Online Services Division, Microsoft Corp. “Having a forum, at which the brightest minds can share their findings and exchange ideas, where science and business intersect drives the knowledge discovery and data mining field forward.”
"Techniques from knowledge discovery and data mining are applicable to virtually all areas of human endeavor from social media to disaster recovery, from financial market performance to healthcare optimization,” said Andrew Tomkins, KDD 2010 program co-chair. “KDD 2010 will feature groundbreaking research from leading figures in the field addressing all of these and more."
Sponsored by Microsoft, Yahoo, SAS and Google, KDD 2010 will take place on July 25-28, 2010. In addition to tutorials, panel sessions and keynote presentations, the conference will also present this year’s ACM SIGKDD Innovation and Service Awards and announce the winners of the KDD Cup competition, which gives practitioners the opportunity to develop practical data mining solutions leveraging real data sets. Past award winners include Dr. Padhraic Smyth (University of California, Irvine), Dr. Raghu Ramakrishnan (Chief Scientist for Audience, and Research Fellow at Yahoo Research) and Dr. Usama Fayyad (former Chief Data Officer and Executive Vice President, Research & Strategic Data Solutions, Yahoo)
The event is open to both ACM SIGKDD members as well as non-members. For additional registration information please visit http://www.kdd.org/kdd2010/registration.shtml. [http://www.kdd.org/kdd2010/registration.shtml. __title__ Registration]
The ACM Special Interest Group on Knowledge Discovery and Data Mining is the premier forum for advancement and adoption of the science of knowledge discovery and data mining. Membership in SIGKDD is open to ACM and non-ACM members and membership benefits include discounted conference fees, access to the newsletter SIGKDD Explorations. The current SIGKDD Executive Council Chairman is leading data mining expert Usama Fayyad. For additional information, please visit http://www.kdd.org.
ACM, the Association for Computing Machinery http://www.acm.org, is the world’s largest educational and scientific computing society, uniting computing educators, researchers and professionals to inspire dialogue, share resources and address the field’s challenges. ACM strengthens the computing profession’s collective voice through strong leadership, promotion of the highest standards, and recognition of technical excellence. ACM supports the professional growth of its members by providing opportunities for life-long learning, career development, and professional networking.