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3. CODS 2016: Pune, India
- Madhav V. Marathe, Mukesh K. Mohania, Mausam, Prateek Jain:

Proceedings of the 3rd IKDD Conference on Data Science, CODS 2016, Pune, India, March 13-16, 2016. ACM 2016, ISBN 978-1-4503-4217-9
Full Papers
- Kokil Jaidka

, Kaushik Ramachandran, Prakhar Gupta, Sajal Rustagi:
SocialStories: Segmenting Stories within Trending Twitter Topics. 1:1-1:7 - Ashish Kulkarni, Kanika Agarwal, Pararth Shah, Sunny Raj Rathod, Ganesh Ramakrishnan:

Learning to Collectively Link Entities. 2:1-2:9 - Mit Shah, Josif Grabocka, Nicolas Schilling, Martin Wistuba, Lars Schmidt-Thieme

:
Learning DTW-Shapelets for Time-Series Classification. 3:1-3:8 - Monidipa Das

, Soumya K. Ghosh:
Modeling Spatio-temporal Change Pattern using Mathematical Morphology. 4:1-4:10 - Partha Basuchowdhuri, Satyaki Sikdar

, Sonu Shreshtha, Subhashis Majumder:
Detecting Community Structures in Social Networks by Graph Sparsification. 5:1-5:9
Short Papers
- Paridhi Jain, Ponnurangam Kumaraguru:

On the Dynamics of Username Changing Behavior on Twitter. 6:1-6:6 - Lilly Kumari, Sunny Dhamnani, Akshat Bhatnagar, Atanu R. Sinha, Ritwik Sinha:

Audience Prism: Segmentation and Early Classification of Visitors Based on Reading Interests. 7:1-7:6 - Swati Agarwal, Ashish Sureka:

Investigating the Potential of Aggregated Tweets as Surrogate Data for Forecasting Civil Protests. 8:1-8:6 - Deepika Vatsa

, Sumeet Agarwal
, Ashwin Srinivasan:
Learning transition models of biological regulatory and signaling networks from noisy data. 9:1-9:6 - Prathamesh Mayekar, Nandyala Hemachandra:

Some algorithms for correlated bandits with non-stationary rewards: Regret bounds and applications. 10:1-10:6 - Vinod Hegde, Alessandra Mileo

, Alexei Pozdnoukhov:
Events Describe Places: Tagging Places with Event Based Social Network Data. 11:1-11:6
Poster Papers
- Balaji Vasan Srinivasan, Tanya Goyal, Nikhil Mohan Nainani, Kartik Sreenivasan:

Smart filters for social retrieval. 12:1-12:2 - Rishabh Gupta, P. Krishna Reddy:

Learning from Gurus: Analysis and Modeling of Reopened Questions on Stack Overflow. 13:1-13:2 - D. Satheesh Kumar, Siddharth Goyal, V. Prashant Reddy, Ramesh Loganathan:

Exploiting Local and Global Context In PPI networks For Efficient Protein Function Prediction. 14:1-14:2 - R. Praveena Priyadarsini, M. L. Valarmathi

, S. Sivakumari:
Feature Creation based Slicing for Privacy Preserving Data Mining. 15:1-15:8 - Ankit Lamba, Deepak Yadav, Abhijit Lele:

CitizenPulse: A Text Analytics framework for Proactive e-Governance - A Case Study of Mygov.in. 16:1-16:2 - Shishir Pandey, Rahul Vaze:

Trustworthiness of t-Distributed Stochastic Neighbour Embedding. 17:1-17:2 - Reshma Khemchandani

, Aman Pal:
Weighted Linear Loss Twin Support Vector Clustering. 18:1-18:2 - Prateek Goel, Manajit Chakraborty

, C. Ravindranath Chowdary
:
Using Sort-Union to Enhance Economically-Efficient Sentiment Stream Analysis. 19:1-19:2 - Sachin Patel, Ravi Mahamuni

, Meghendra Singh, David Clarance, Mayuri Duggirala, Shivani Sharma, Vinay Katiyar, Gauri Deshpande, Amruta Deshmukh, Vaibhav, Vivek Balaraman:
Mining Multi-source Data to Study Workplace Activity Patterns. 20:1-20:2 - D. Shiva Shankar, S. Durga Bhavani

:
Consensus Clustering Approach for Discovering Overlapping Nodes in Social Networks. 21:1-21:2 - Vaddadi Naga Sai Kavya

, P. Krishna Reddy:
An Approach to Allocate Advertisement Slots for Banner Advertising. 22:1-22:2 - Soumyajit Ganguly, Vikram Pudi

:
Competing Algorithm Detection from Research Papers. 23:1-23:2 - Indrani Bhattacharya, Jaya Sil:

Query Classification using LDA Topic Model and Sparse Representation Based Classifier. 24:1-24:2 - Praveen Kumar Singh, P. S. V. S. Sai Prasad

:
Scalable Quick Reduct Algorithm: Iterative MapReduce Approach. 25:1-25:2 - Manjira Sinha

, Preethy Varma, Gayatri Sivakumar, Mridula Singh, Tridib Mukherjee, Deepthi Chander, Koustuv Dasgupta:
Improving Urban Transportation through Social Media Analytics. 26:1-26:2 - Varun Aggarwal, Shashank Srikant, Harsh Nisar:

AMEO 2015: A dataset comprising AMCAT test scores, biodata details and employment outcomes of job seekers. 27:1-27:2

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