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Chicago to Welcome Data Science, Big Data and Data Mining Leaders at the 19th International ACM Knowledge Discovery and Data Mining Conference, KDD 2013
Date:2/13/2013

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Diverse Topics, Real World Applications
KDD is a dual track conference featuring a research track for innovative research on all aspects of knowledge discovery and data mining, and an industry/government track designed for papers and presentations on implementations of data mining and analytics systems in industrial or government settings. As a field tied to practical science, most KDD papers conduct a rigorous empirical study, demonstrating the various aspects of the methods they discuss. The conference consistently attracts a large volume of paper proposals, resulting in high ratio of paper submissions to approvals and unsurpassed quality of data research. Topics that are highly relevant for today’s study of data mining and knowledge discovery include Big Data, social networks, advertising and targeting, bioinformatics and healthcare, collaborative filtering, semi-supervised learning, web search and anomaly detection, among others.

The Best Data Minds Gather in Chicago
As the importance of leveraging the value of data increases, the role of the data scientist has become critical for the success of the businesses. With over 1,200 leading data scientists expected to attend KDD 2013, data-driven businesses such as Adobe, Google, Microsoft, and Yahoo! consider the conference to be the premier forum to meet, network and recruit the next generation of data talent. KDD 2013 offers flexible sponsorship packages designed to meet a broad range of marketing goals. For additional information, contact sponsors@kdd.org.

“Data mining plays a huge role in advancing modern science across virtually all disciplines – from healthcare and politics, to astronomy and urban planning,” said Yehuda Koren, Program Co-Chair for KDD 2013 and staff research scientist, Google. “KDD 2013 is the conference to be for professionals and practitioners of data
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