New York (PRWEB) February 13, 2013
The world’s leading Knowledge Discovery and Data Mining conference (KDD), organized by the Association for Computing Machinery is the top forum to present and discuss academic and industry advancements in the fields of data mining, data science, Big Data and predictive analytics. Year over year, KDD continues to attract hundreds of high caliber scientists, academics, students, and renowned industry experts, with more than 1,200 attending last year’s event in Beijing, China. With interest in Big Data and data science growing exponentially, this year’s conference organizers are expecting a record number of attendees and paper submissions. For more information on KDD 2013 paper submission requirements and deadlines, please visit http://www.kdd.org/kdd2013/?page_id=159.
Extracting Meaning from Big Data
Data mining, knowledge discovery and predictive analytics has never been more relevant than today. Big Data and data science are a fixture on business and technology trend lists of analyst firms such as Gartner or venture capitalists such as Mary Meeker. While ongoing robust Internet growth, accelerating mobile computing adoption and new types of data-generating devices such as wearables continue to fuel data growth, it is the scientists and practitioners in data mining and knowledge discovery that are able to extract patterns, predictions and meaning out of Big Data. (http://www.businessinsider.com/mary-meeker-2012-internet-trends-year-end-update-2012-12 )
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 firstname.lastname@example.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 science worldwide.”
KDD 2013 will also feature tutorials, workshops and the world’s largest data competition, the KDD Cup. Registration and program details for KDD 2013 will be available later in the spring.
With over 2000 members from leading research institutions, universities and business organizations in more than 80 countries, the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) is the premier forum for advancement and adoption of KDD, data science, and data mining over Big Data. SIGKDD’s mission is to provide the growing community of big data and analytics experts with tools and resources to promote the value of knowledge discovery and data mining in today’s data-centric economy. The current SIGKDD Executive Council Chairman is leading data mining expert Usama Fayyad, Ph.D. For additional information, please visit http://www.kdd.org or follow us on Twitter (@kdd_news).
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.
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