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2. CODS 2015: Bangalore, India
- Manish Gupta, Y. Narahari, V. S. Subrahmanian, Indrajit Bhattacharya:
Proceedings of the Second ACM IKDD Conference on Data Sciences, Bangalore, CoDS 2015, India, March 18-21, 2015. ACM 2015, ISBN 978-1-4503-3436-5 - Chinmay Jog, Sweety Agrawal, Srinath Srinivasa:
Distributing a trust framework for utilitarian data exchanges in inter-organizational collaborations. 1-10 - Apurva Pathak, Bidyut Kr. Patra:
A knowledge reuse framework for improving novelty and diversity in recommendations. 11-19 - Ehtesham Hassan, Gautam Shroff, Puneet Agarwal:
Multi-sensor event detection using shape histograms. 20-29 - Gattigorla Nagendar, C. V. Jawahar:
Fast approximate dynamic warping kernels. 30-38 - Soumajit Pramanik, Pranay Hasan Yerra, Bivas Mitra:
"Whom-to-interact": does conference networking boost your citation count? 39-48 - Ramakrishna B. Bairi, Ankit Vani, Pooja Ahuja, Ganesh Ramakrishnan:
Categorising videos using a personalised category catalogue. 49-58 - Sanjukta Roy, Balaraman Ravindran:
Measuring network centrality using hypergraphs. 59-68 - Balaji Vasan Srinivasan, Anandhavelu Natarajan, Ritwik Sinha, Moumita Sinha:
Community reaction: from blogs to Facebook. 69-74 - K. N. Nischal, Radhika Radhakrishnan, Sanket Mehta, Sumit Chandani:
Correlating night-time satellite images with poverty and other census data of India and estimating future trends. 75-79 - Divya Tomar, Sonali Agarwal:
Direct acyclic graph based multi-class twin support vector machine for pattern classification. 80-85 - T. Jaya Lakshmi, S. Durga Bhavani:
Enhancement to community-based multi-relational link prediction using co-occurrence probability feature. 86-91 - Nirav Bhatt, Arun Ayyar:
Monotonous (semi-)nonnegative matrix factorization. 92-97 - Puneet Agarwal, Gautam Shroff, Sarmimala Saikia, Zaigham Khan:
Efficiently discovering frequent motifs in large-scale sensor data. 98-103 - Subendhu Rongali, A. P. Sarath Chandar, Balaraman Ravindran:
From multiple views to single view: a neural network approach. 104-109 - Vasanthi P., V. Tejaswi, P. Santhi Thilagam:
Time stamp based set covering greedy algorithm. 110-111 - Arup Choudhury, Shrey Sharma, Pabitra Mitra, Cyril Sebastian, Shrikant S. Naidu, Muthusamy Chelliah:
SimCat: an entity similarity measure for heterogeneous knowledge graph with categories. 112-113 - Karthick Seshadri, S. Mercy Shalinie:
Parallel algorithms for merging topic trees and their application in meta search engines. 114-115 - Rahul Pramanik, Sukomal Pal, Manajit Chakraborty:
What the user does not want?: query reformulation through term inclusion-exclusion. 116-117 - Sujoy Chatterjee, Malay Bhattacharyya:
A biclustering approach for crowd judgment analysis. 118-119 - Vivek Gupta, Vikram Goyal:
Spatio-textual similarity joins using variable prefix filtering. 120-121 - A. Ibrahim, P. S. Sastry, Shivakumar Sastry:
Pattern set kernel. 122-123 - Piyush Madan, Jaismeen Kaur, Sheetal Bhavsar, Dhaval Patel, Manoj Mishra:
GPU-based out-of-core MDL clustering algorithm. 124-125 - Shankar B. Naik, Jyoti D. Pawar:
A quick algorithm for incremental mining closed frequent itemsets over data streams. 126-127 - Ch. Bala Koteshwariah, N. Raghu Kisore, V. Ravi:
A fuzzy version of generalized DBSCAN clustering algorithm. 128-129 - N. Mehala, Divyansh Bhatia, Poonam Goyal:
An approach for search result topic identification and labeling. 130-131 - Hui Ru Loo, Muhammad N. Marsono:
Online data stream classification with incremental semi-supervised learning. 132-133 - P. S. Deepthi, Sabu M. Thampi:
Unsupervised gene selection using particle swarm optimization and k-means. 134-135 - Yogalakshmi Jayabal, Chandrashekar Ramanathan:
Mutual information based weighted clustering for mixed attributes. 136-137 - D. Satheesh Kumar, P. Krishna Reddy:
Relaxed neighbor based approach for improving protein function prediction. 138-139 - Kanish Manuja, Arnab Bhattacharya:
Using social connections to improve collaborative filtering. 140-141 - Megha Gupta, Haimonti Dutta, Brian Geiger:
Classification of crowdsourced text correction. 142-143
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