IKDD CODS 2015 - 2015 ACM India SIGKDD Conference on Data Sciences (IKDD CODS)

2015 ACM India SIGKDD Conference on Data Sciences (IKDD CODS)
http://ikdd.acm.org/Site/CoDS2015/
March 18-21, 2015, Bangalore, India
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Important Dates:
Research papers : 4th October 2014
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. The topics of interest 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
http://www.acm.org/sigs/pubs/proceed/template.html. The submissions
should be made to
https://www.easychair.org/conferences/?conf=cods20.... 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.
Organization
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 Committee: Om Deshmukh (Xerox) Mitesh Khapra (IBM )
Raj Sharma (Xerox) T. Shankar (IISc)
Industry Workshop Chair: Geetha Manjunath (Xerox)
Data Challenge Chairs: Ramasuri Narayanam (IBM), Shourya Roy (Xerox)