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2015 ACM India SIGKDD Conference on Data Sciences (IKDD CODS)
March 18-21, 2015, Bangalore, India
Important Dates:
Research papers : 22nd October 2014 **(extended from 15th October)**

Paper decisions : 15th December 2014

Final Camera Ready : 5th January 2015

Conference : 18th-21st March 2015

The Indian chapter of the ACM Special Interest Group on Knowledge Discovery in Databases (ACM IKDD) is pleased to announce the second Conference on Data Sciences (CoDS 2015).
The ability to collect and store data has grown many fold over the last decade across domains such as web and social media, telecommunications, biology, health-care, high energy physics, and manufacturing, to name a few. This has powered the demand and the dream of businesses and governments to extract useful and actionable insights from such data in an automatic, reliable and scalable way. This is the ambitious goal of the emerging discipline of Data Science. To this end, research in Data Science draws and builds upon ideas from algorithms, databases, machine learning, statistics, linear algebra, optimization, numerical methods and visualization.
We invite papers reporting original research in all aspects of Data Science. **CoDS 2015 will feature a Best Reseach Paper Award to honor the authors of the paper of the highest research quality. There will also be a Best Student Paper Award, for the best research quality among those accepted papers whose first author is a student enrolled in an educational institution. Each of these papers will receive a cash award of 1000 USD. Additionally, selected student authors will be eligible for receiving research mentoring by an eminent Data Science researcher (such as one of the Keynote Speakers at CoDS 2015) for up to a year.**
The topics of interest for invited submissions include, but are not limited to:
Models and Algorithms: graph mining, rule and pattern mining, dimensionality reduction and manifold learning, combinatorial and continuous optimization, relational and structured learning, matrix and tensor methods, classification and regression methods, semi-supervised learning, unsupervised learning and clustering.
Applications: social network analysis, web and social media analysis, text analytics, information retrieval and information extraction, recommender systems, online advertising, bioinformatics, systems biology, multimedia processing.
Rich and Big Data: mining linked data, mining sequences, time series analysis, mining temporal and spatial data, large scale analytics and optimization, online learning, parallel and distributed machine learning, novel statistical techniques for big data.
Industrial and Government Case studies: Descriptions of deployments of data science solutions in industry and government that address real-world challenges and highlight new and important research directions for data science. Domains of interest include but are not restricted to e-commerce, retail, online advertising, telecommunications, banking and finance, consumer products, media and entertainment, healthcare, medicine, education, manufacturing, natural resources, public safety, urban planning.
Submission Format: The submissions should not exceed 10 pages and should be formatted in the standard ACM style available at The submissions should be made to Papers under review at other venues should not be submitted.
Industry and PhD Workshops: The main conference will include two workshops. The Industry Workshop will bring together leading Data Science practitioners across industries, and will feature keynote talks and discussions on current best practices and challenges. The goal of the PhD workshop is to provide senior PhD students with a forum to present their current and possibly unpublished research to experts and get feedback and guidance. We invite submissions for the PhD workshop. The dates and format for this will be announced shortly.
Data Challenge: In the spirit of the KDD Cup, the conference will include a Data Challenge, where specific data analysis tasks will be defined on datasets made available to participants, who will have to submit their solutions for those tasks. Winning entries will receive attractive prizes and an opportunity to present their solutions during the main conference.


General Chairs: Y. Narahari (IISc Bangalore), Manish Gupta (Xerox)

Program Chairs: V.S. Subrahmanian (U. Maryland, College Park) Indrajit Bhattacharya (IBM)

Finance Chair: B. Ravindran (IIT Madras)

Publicity Chair: Mohit Kumar (Flipkart)

Local Arrangements Chair: Mitesh Khapra (IBM), Partha Talukdar (IISc), Raj Sharma (Xerox), T. Shankar (IISc)

Industry Workshop Chair: Geeta Manjunath (Xerox)

Data Challenge Chairs: Ramasuri Narayanam (IBM), Shourya Roy (Xerox)

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