Schedule CODS 2016

Sunday, March 13

8:15-9:00Registration and Breakfast
9:15-9:30Opening Remarks
9:30-10:30Keynote

Being Smart: The Role of Timely Analytics

Krithi Ramamritham

10:30-11:30 CODS Best Paper

Learning DTW-Shapelets for Time-Series Classification

Mit Shah, Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme


COMAD Best Paper

BaSE(Byte addressable Storage Engine) Transaction Manager

Sathyanarayanan Manamohan, Krishnaprasad Shastry, Shine Mathew, Ravi Sarveswara, Kirk Bresniker, Goetz Graefe

11:30-12:00Coffee Break
12:00-13:00Invited Talks

COMMIT : A Scalable Approach to Mining Communication Motifs from Dynamic Networks (SIGMOD 2015)

Saket Gurukar, Sayan Ranu, Balaraman Ravindran

Locally Non-Linear Embeddings for Extreme Multi=label Learning

Himanshu Jain

13:00-14:00Lunch Break (Post lunch open session)
14:00-15:00 Keynote

Recommendations in the context of a Social Network

Deepak Agarwal

15:00-16:00Tutorials (Parallel Sessions)

Ontologies for NLP

Eduard Hovy

Tools, Techniques and Case Studies for Text Analytics for Real World Problems

Sameep Mehta

16:00-16:15Coffee Break
16:15-17:15Tutorials Contd..
18:00-19:30Networking
19:30-21:00Banquet

Monday, March 14

8:30-9:00Breakfast
9:00-10:00 Keynote

Toward Learning by Reading using a New Semantics that Merges Propositional and Distributional Information

Eduard Hovy

10:10-11:20Contributed Session 1

Learning to Collectively Link Entities

Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunnyraj Rathod, Ganesh Ramakrishnan

SocialStories: Segmenting Stories within Trending Twitter Topics

Kokil Jaidka, Prakhar Gupta, Sajal Rustagi, Kaushik Ramachandran

On the Dynamics of Username Changing Behavior on Twitter

Paridhi Jain, Ponnurangam Kumaraguru

11:20-12:15Poster Session 1 (along with Coffee Break)
12:15-13:30Invited Papers 2

ASAP-UCT: Abstraction of State-Action Pairs in UCT

Ankit Anand

A Generalized Reduced Linear Program for Markov Decision Processes

Chandrashekar Lakshminarayanan

Nonparametric Bayesian Temporal Segmentation of Videos aimed at Entity-driven Scene Detection

Adway Mitra

13:30-14:30Lunch Break
14:30-15:30Keynote

Understanding Global Change: Opportunities and Challenges for Data Driven Research

Vipin Kumar

15:30-16:20Poster Session
16:30-17:30Contributed Session 2

Events Describe Places - Tagging Places with Event Based Social Network Data

Vinod Hegde, Alessandra Mileo, Alexei Pozdnoukhov

Audience Prism: Segmentation and Early Classification of Visitors Based on Reading Interests

Ritwik Sinha, Atanu Sinha, Lilly Kumari, Sunny Dhamnani, Akshat Bhatnagar

Investigating the Potential of Aggregated Tweets as Surrogate Data for Forecasting Civil Protests

Swati Agarwal, Ashish Sureka

Tuesday, March 15

8:30-9:00Breakfast
9:00-10:00Keynote

Complexity bounds for primal-dual methods minimizing the model of objective function

Yurii Nesterov

10:10-11:10Data Challenge
11:10-11:40Data Challenge Posters (along with Coffee Break)
11:40-12:30Contributed Session 3

Detecting Community Structures in Social Networks by Graph Sparsification

Partha Basuchowdhuri, Satyaki Sikdar, Sonu Shreshtha, Subhashis Majumder

Modeling Spatio-temporal Change Pattern using Mathematical Morphology

Monidipa Das, Soumya K Ghosh

12:40-13:30Invited Papers 3

Unsupervised Most Frequent Sense Detection using Word Embeddings

Sudha Bhingardive

Adjective Intensity and Sentiment Analysis

Raksha Sharma

13:30-14:30Lunch Break
14:30-15:30Keynote

Deep neural network learning theory

Peter Bartlett

15:40-16:20Contributed Paper 4

Some algorithms for correlated bandits with non-stationary rewards: Regret bounds and applications

Prathamesh Mayekar, Nandyala Hemachandra

Learning transition models of biological regulatory and signaling networks from noisy data

Deepika Vatsa, Sumeet Agarwal, Ashwin Srinivasan

16:20-16:50Data Challenge Posters (along with Coffee Break)
16:50-17:30Invited Papers 4

Automatic Generation of Alternative Starting Positions for Simple Traditional Board Games

Umair Z. Ahmed

On Consistent Surrogate Risk Minimization and Property Elicitation

Arpit Agarwal

Wednesday, March 16

Industry Track

8:30 - 9:30Registration
8:50 - 9:00

Welcome and opening remarks by Chair

Sameep Mehta, IBM Research

9:00 - 10:00

Keynote - AI, Watson, and the dawn of Cognitive Computing.

Nandakishore Kambhatia, IBM Research

10:00- 10:30

IOT Analytics- A Case Study of Industry Research & Lessons Learnt

Gautam Shroff, TCS R&D

10:30 - 11:00Coffee Break
Session 2: Talks - Domain / Technique
11:00 - 11:30

Behavioral Data Science: Emerging Trends and Challenges

Mayuri Duggirala, TCS R&D

11:30 - 12:00

Taking Analytics Solutions from Labs to the Real World

Shourya Roy, Xerox Research

12:00-12:30

Fast de-duplication of content

Sambuddha Roy, LinkedIn

Session 3: Data Analysis in Boutique Analytics Firms
12:30 - 13:00

Driving Online Commerce towards Discovery, Personalization and Assistance

Vijay Gabale, Inflect.com

13:00 - 13:30

Application of data science in BFSI

Rohit Walimbe & Mukta Pendharkar, AlgoAnalytics.com

13:30 - 14:30Lunch Break
14:30 -15:00

Real-time Stream Processing using Apache Apex

Bhupesh Chawda, Apache APEX, DataTorrent

15:00-15:30Coffee Break
15:30 - 16:30Panel Discussion

Data Science - Path Forward

Panel Discussion

16:30 - 17:30

Vote of thanks, tea, farewells and connects

Vivek Balaraman, TCS R&D

Important Dates

Submission deadline 20th October 2015
(extended)
Paper decisions 15th December 2015
Final Camera Ready 21st January 2016
Conference 13th-16th March 2016