Accepted Papers
Registration Now Open


Inderjit Dhillon
U. Texas, USA
Juliana Freire
New York University, USA
Jure Leskovec
Stanford University, USA
Pedro Domingos
U. Washington, USA
Ravi Kannan
Microsoft Research India
Stephen Muggleton
Imperial College, London, UK

Industrial Keynote

Shailesh Kumar


India International Centre
Max Mueller Marg
New Delhi 110003

The Indian chapter of the ACM Special Interest Group on Knowledge Discovery in Databases (ACM IKDD) announces the first Conference on Data Sciences (CoDS) in association with ACM SIGKDD. Data sciences encompass the larger areas of data analytics, machine learning and managing big data. Data analytics has become essential to glean some understanding from large data sets and convert data into actionable intelligence. With the rapid growth in the volumes of data available to enterprises, Government and on the web, automated techniques for analyzing the data have become essential.

Machine learning is the backbone for identifying essential characteristics within the data, which when learnt make meaningful inferences possible. Massive amount of content on the web is in the form of natural language (text); in addition to social media and blogs, almost every major newspaper, scientific journal and government publication is available as digital content.

This textual information is a veritable goldmine for individuals, enterprises and governments. Consequently, accurate and efficient extraction and analysis of textual information is an area of considerable interest to researchers in academia and industry. Efficiently storing, querying, and processing big data using distributed platforms, novel multidimensional frameworks and parallel algorithms is required given the increasing volumes and variety of 'big data' becoming available. This conference will look at all issues related to data sciences.

We plan to publish the conference proceedings in the ACM Digital Library.

Series Sponsors

Other Sponsors

Important Dates
Research Papers
4th Oct 2013 [Extended]
Data Challenge Proposals
15th Oct 2013
Paper & Proposal Desisions
26th Dec 2013
Final Camera Ready
5th Jan 2014
21st to 23rd March 2014
General Chairs:
Gautam Shroff TCS Research, Delhi
Lokendra Shastri Samsung R&D
Program Chairs:
Balaraman Ravindran IIT Madras
Kamalakar Karlapalem IIIT Hyd
Data Challenge Chair:
Srikanta Bedathur IIIT Delhi
Local Organising Committee:
Ashwin Srinivasan IIT Delhi
Maya Ramnath IIT Delhi
LV Subramaniam IBM Research Delhi
Hiranmay Ghosh TCS Research Delhi
Puneet Agarwal TCS Research Delhi