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Bhaskar Gautam
Researcher at National Institute of Technology, Karnataka
Publications - 6
Citations - 13
Bhaskar Gautam is an academic researcher from National Institute of Technology, Karnataka. The author has contributed to research in topics: Microblogging & Ranking (information retrieval). The author has an hindex of 1, co-authored 6 publications receiving 10 citations.
Papers
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Journal ArticleDOI
Performance prediction of data streams on high-performance architecture
Bhaskar Gautam,Annappa Basava +1 more
TL;DR: This proposed framework is based on providing architecture independent performance prediction model to enable resource adaptive distributed stream data processing platform comprised of seven pre-defined domain for dynamic data stream metrics including a self-driven model which tries to fit these metrics using ridge regularization regression algorithm.
Proceedings ArticleDOI
Profile Matching of Online Social Network with Aadhaar Unique Identification Number
TL;DR: A novel e-identity Architecture using Infrastructure as a service (IaaS) of Cloud to reduce the computational cost of the profile matching algorithm and profiles are mapped to the Aadhaar Unique Identification Number (UID).
Proceedings ArticleDOI
Passenger Abnormal Behaviour Detection using Machine Learning Approach
TL;DR: The clustering approach to classify the random walk trajectories from the synthetic bus station video by using the machine learning approach and the agglomerative clustering algorithm which is used to group the abnormal trajectories with the similar spatial patterns and normal trajectory with similar spatial pattern.
Posted Content
Automatic Identification and Ranking of Emergency Aids in Social Media Macro Community
Bhaskar Gautam,Annappa Basava +1 more
TL;DR: In this paper, the authors address the problem of categorical information retrieval and ranking of most relevance information while considering the presence of short-text and multilingual languages that arise during such events.
Proceedings ArticleDOI
When and Where?: Behavior Dominant Location Forecasting with Micro-Blog Streams
TL;DR: A novel algorithm to exploit the dynamic fluctuations in user's point-of-interest while forecasting the future place of visit with fine granularity is provided.