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ORCID23rd COMAD / 5th CODS 2018: Goa, India
- Sayan Ranu, Niloy Ganguly, Raghu Ramakrishnan, Sunita Sarawagi, Shourya Roy:
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, COMAD/CODS 2018, Goa, India, January 11-13, 2018. ACM 2018
Research track
- Malay Bhattacharyya
, Sankar Kumar Mridha:
Studying the influence of requesters in posted-price crowdsourcing. 1-10 - Yogalakshmi Jayabal, Chandrashekar Ramanathan, S. Rajagopalan:
HDSanalytics: a data analytics framework for heterogeneous data sources. 11-19 - Sudarsun Santhiappan, Jeshuren Chelladurai, Balaraman Ravindran:
A novel topic modeling based weighting framework for class imbalance learning. 20-29 - Subrata Ghosh, Anand Konjengbam, Sailaja Rajanala, Bharath K. R. Appareddy, Manish Singh:
Unsupervised stance classification in online debates. 30-36 - Adepu Ravi Sankar, Vineeth N. Balasubramanian:
Are saddles good enough for neural networks. 37-45 - Karamjit Singh, Garima Gupta, Vartika Tewari, Gautam Shroff:
Comparative benchmarking of causal discovery algorithms. 46-56 - Rahul Aralikatte, Giriprasad Sridhara, Neelamadhav Gantayat, Senthil Mani:
Fault in your stars: an analysis of Android app reviews. 57-66 - Swati Agarwal, Nitish Mittal, Ashish Sureka:
Potholes and bad road conditions: mining Twitter to extract information on killer roads. 67-77 - Sakti Saurav, Pankaj Malhotra, Vishnu TV, Narendhar Gugulothu, Lovekesh Vig, Puneet Agarwal, Gautam Shroff:
Online anomaly detection with concept drift adaptation using recurrent neural networks. 78-87 - Abhinav Agarwalla, Arnav Kumar Jain, K. V. Manohar, Arpit Tarang Saxena, Jayanta Mukhopadhyay:
Bayesian optimisation with prior reuse for motion planning in robot soccer. 88-97 - Uma Sawant, Vijay Gabale:
Product discovery from E-commerce listings via deep text parsing. 98-107 - Milan Someswar, Arnab Bhattacharya:
MineAr: using crowd knowledge for mining association rules in the health domain. 108-117 - Chandramohan T. N, Balaraman Ravindran:
A neural attention based approach for clickstream mining. 118-127 - Gurkirat Singh, Dhawal Upadhyay, Medha Atre:
Efficient RDF dictionaries with B+ trees. 128-136 - Raghu Krishnapuram, Arun Rajkumar, Adithya Acharya, Nikhil Dhara Venkata, Manjunath M. Goudar, Akshay P. Sarashetti:
Online domain adaptation by exploiting labeled features and pro-active learning. 137-145 - Sumant Kulkarni, Srinath Srinivasa, Tahir Dar:
Syncretic matching: story similarity between documents. 146-156 - Sanatan Sukhija, Narayanan Chatapuram Krishnan, Deepak Kumar:
Supervised heterogeneous transfer learning using random forests. 157-166 - Devendra Kumar Luna, Girish Keshav Palshikar, Manoj Apte, Arnab Bhattacharya:
Finding shell company accounts using anomaly detection. 167-174 - Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Harish Karnick:
User bias removal in review score prediction. 175-179 - Amol Dumrewal, Anwesh Basu, Shubham Atreja, Prateeti Mohapatra, Pooja Aggarwal, Gargi Banerjee Dasgupta:
Citicafe: conversation-based intelligent platform for citizen engagement. 180-189 - Sandhya Tripathi, N. Hemachandra:
Scalable linear classifiers based on exponential loss function. 190-200 - Rushikesh Nalla, Rajdeep Pinge, Manish Narwaria, Bhaskar Chaudhury:
Priority based functional group identification of organic molecules using machine learning. 201-209 - Supriya Pandhre, Himangi Mittal, Manish Gupta, Vineeth N. Balasubramanian:
STwalk: learning trajectory representations in temporal graphs. 210-219 - Prateeti Mohapatra, Anupama Ray, Gargi Dasgupta:
FuTSe: a fuzzy taxonomy service to facilitate product search. 220-229 - Rama Syamala Sreepada, Bidyut Kr. Patra, Avijit Chakrabarty, Satyadev Chandak:
Revisiting tendency based collaborative filtering for personalized recommendations. 230-239 - Puja Sahu, Nandyala Hemachandra:
Some new PAC-Bayesian bounds and their use in selection of regularization parameter for linear SVMs. 240-248 - Vishwak Srinivasan, Adepu Ravi Sankar, Vineeth N. Balasubramanian:
ADINE: an adaptive momentum method for stochastic gradient descent. 249-256 - Vijayasaradhi Indurthi, Subba Reddy Oota, Manish Gupta, Vasudeva Varma:
Believe it or not!: identifying bizarre news in online news media. 257-264 - Madhulika Mohanty, Maya Ramanath:
Klustree: clustering answer trees from keyword search on graphs. 265-272 - Anirban Sen, Manjira Sinha, Sandya Mannarswamy, Shourya Roy:
Stance classification of multi-perspective consumer health information. 273-281
Industry track
- Chinnappa Guggilla, Ankit G. Pandey, Krishna Kummamuru, Madhura Shivaram:
Mining entities and their values from semi-structured documents in business process outsourcing. 282-288 - Ishan Sohony, Rameshwar Pratap, Ullas Nambiar:
Ensemble learning for credit card fraud detection. 289-294 - Gauri Shah, Aashis Tiwari:
Anomaly detection in IIoT: a case study using machine learning. 295-300
Young researchers' symposium track
- Sarvesh Pandey, Udai Shanker:
Priority inversion in DRTDBS: challenges and resolutions. 305-309 - Sanatan Sukhija:
Label space driven feature space remapping. 310-313 - Aditya Asgaonkar, Pranav Palande, Ramprasad S. Joshi:
Is the cost of proof-of-work consensus quasilinear? 314-317 - Sankar Kumar Mridha, Malay Bhattacharyya:
Network based mechanisms for competitive crowdsourcing. 318-321 - Pramit Mazumdar, Bidyut Kr. Patra, Korra Sathya Babu:
Handling cold-start scenarios in point-of-interest recommendations through crowdsourcing. 322-324 - Pradnya Bhagat, Jyoti D. Pawar:
A comparative study of feature extraction methods from user reviews for recommender systems. 325-328 - Subhashree S, P. Sreenivasa Kumar:
Enriching domain ontologies using question-answer datasets. 329-332 - Ashthika Balakrishnan:
Online learning isotonic separation for the study of largescale data. 333-335 - Shikha Gupta, Dileep Aroor Dinesh, Veena Thenkanidiyoor:
Deep CNN based pseudo-concept selection and modeling for generation of semantic multinomial representation of scene images. 336-339 - Gajanan S. Gawde, Jyoti D. Pawar:
Similarity search of time series trajectories based on shape. 340-343 - Krati Gupta, Arnav Bhavsar, Anil Kumar Sao:
Mitotic v/s non-mitotic HEp-2 cells classification for CAD based auto-immune disorder detection: a study using CNN. 344-347 - Shubhashri G, Unnamalai N, Kamalika G:
LAWBO: a smart lawyer chatbot. 348-351 - Saurabh Singh Thakur, Ram Babu Roy:
A mobile app based smoking cessation assistance using automated detection of smoking activity. 352-355 - Deepali J. Joshi, Mohit Makhija, Yash Nabar, Ninad Nehete, Manasi S. Patwardhan:
Mental health analysis using deep learning for feature extraction. 356-359 - Shubhada P. Deshmukh, Manasi S. Patwardhan, Anjali R. Mahajan:
Feedback based real time facial and head gesture recognition for e-learning system. 360-363 - Arun Verma, Manjesh Kumar Hanawal:
Unsupervised cost sensitive predictions with side information. 364-367
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