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Inductis wins Berlin data mining competition



New York, July 12 (IANS) Inductis, a management consulting and analytic services firm, has been ranked first for building a personalized spam email filter for the prestigious data mining competition to be held in Berlin in September.

The company was ranked first along with two others for the competition on the occasion of the 17th European Conference on Machine Learning and the 10th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD) Sep 18-22.

The award will be presented to Inductis at the Berlin event, sponsored by Goole, Humboldt University the Journal of Machine Learning, an international research publication on data mining.

Founded by Sandeep Tyagi, an alumnus of the Columbia Business School in New York and the Indian Institute of Technology in Delhi, Inductis helps clients leverage the information age to make better decisions through deep analytics.

Web mail users across the world fight spam by reading messages and then removing the spam from their mailboxes. Some also spend time in labelling these messages for the local spam filters on their desktop machines, the company said.

As a result, it becomes important to combat the wastage of time, resource and server space, both for the users and email service providers, it said.

The Inductis team - comprising Kushagra Gupta, Vikrant Chaudhary, Nikhil Marwah and Chirag Taneja - built a solution that captured 95 percent of the spam email accurately, the company added.

The challenge was to identify spam mails in different user inboxes on the basis of previous emails from a public database. The team constructed filters for each user that correctly classified any incoming email as spam or non-spam.



© 2006 Indo-Asian News Service

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