Arunkumar Bagavathi
Arunkumar Bagavathi
Email verificata su okstate.edu - Home page
Titolo
Citata da
Citata da
Anno
MR-random forest algorithm for distributed action rules discovery
AA Tzacheva, A Bagavathi, PD Ganesan
International Journal of Data Mining & Knowledge Management Process (IJDKP …, 2016
232016
Dynamics of health agency response and public engagement in public health emergency: a case study of CDC tweeting patterns during the 2016 Zika epidemic
S Chen, Q Xu, J Buchenberger, A Bagavathi, G Fair, S Shaikh, S Krishnan
JMIR public health and surveillance 4 (4), e10827, 2018
162018
Multi-Net: A Scalable Multiplex Network Embedding Framework
A Bagavathi, S Krishnan
International Conference on Complex Networks and their Applications, 119-131, 2018
142018
Actionable pattern discovery for Sentiment Analysis on Twitter Data in clustered environment
J Ranganathan, AS Irudayaraj, A Bagavathi, AA Tzacheva
Journal of Intelligent & Fuzzy Systems 34 (5), 2849-2863, 2018
112018
SARGS method for distributed actionable pattern mining using spark
A Bagavathi, P Mummoju, K Tarnowska, A Tzacheva, ZW Ras
IEEE International Conference on Big Data (BigData 2017), 4272-4281, 2018
112018
Rule based systems in distributed environment: Survey
A Bagavathi, AA Tzacheva
Proceedings of International Conference on Cloud Computing and Applications …, 2017
112017
Action rules for sentiment analysis using Twitter
AA Tzacheva, J Ranganathan, A Bagavathi
International Journal of Social Network Mining 3 (1), 35-51, 2020
52020
Discovery of action rules at lowest cost in spark
AA Tzacheva, A Bagavathi, L Ayila
2017 IEEE International Conference on Data Mining Workshops (ICDMW), 87-94, 2017
52017
Actionable Pattern Mining - A Scalable Data Distribution Method Based on Information Granules
AATZWR A. Bagavathi, A. Tripathi
17th IEEE International Conference on Machine Learning and Applications …, 2018
42018
Examining untempered social media: analyzing cascades of polarized conversations
A Bagavathi, P Bashiri, S Reid, M Phillips, S Krishnan
Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019
32019
Data distribution method for scalable actionable pattern mining
A Bagavathi, V Rao, AA Tzacheva
Proceedings of the First International Conference on Data Science, E …, 2018
32018
Social sensors early detection of contagious outbreaks in social media
A Bagavathi, S Krishnan
International Conference on Applied Human Factors and Ergonomics, 400-407, 2018
32018
Identifying Influential Factors in the Discussion Dynamics of Emerging Health Issues on Social Media: Computational Study
L Safarnejad, Q Xu, Y Ge, A Bagavathi, S Krishnan, S Chen
JMIR public health and surveillance 6 (3), e17175, 2020
22020
Action rules of lowest cost and action set correlations
AA Tzacheva, RA Shankar, S Ramachandran, A Bagavathi
Fundamenta Informaticae 172 (4), 399-412, 2020
22020
Multi-Net: Scalable Multilayer Network Embeddings
A Bagavathi, S Krishnan
arXiv preprint arXiv:1805.10172, 2018
22018
Detecting Online Hate Speech: Approaches Using Weak Supervision and Network Embedding Models
M Ridenhour, A Bagavathi, E Raisi, S Krishnan
International Conference on Social Computing, Behavioral-Cultural Modeling …, 2020
12020
Contrasting Misinformation and Real-Information Dissemination Network Structures on Social Media During a Health Emergency
L Safarnejad, Q Xu, Y Ge, S Krishnan, A Bagarvathi, S Chen
American Journal of Public Health 110 (S3), S340-S347, 2020
12020
Unsupervised Gaze Prediction in Egocentric Videos by Energy-based Surprise Modeling
SN Aakur, A Bagavathi
arXiv preprint arXiv:2001.11580, 2020
12020
In Search of Actionable Patterns of Lowest Cost–A Scalable Action Graph Method
AA Tzacheva, A Bagavathi, SCB Suryanarayanaprasad
2018 IEEE First International Conference on Artificial Intelligence and …, 2018
12018
In search of actionable patterns of lowest cost-a scalable graph method
AA Tzacheva, A Bagavathi, AK Datta
International Journal of Database Management Systems, 2018
12018
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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