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Kajanan Sangaralingam
Kajanan Sangaralingam
Director Data Science, Mobilewalla
Verified email at comp.nus.edu.sg - Homepage
Title
Cited by
Cited by
Year
Gamification of education: a review of literature
FFH Nah, Q Zeng, VR Telaprolu, AP Ayyappa, B Eschenbrenner
HCI in Business: First International Conference, HCIB 2014, Held as Part of …, 2014
6572014
Persuasive Technology for Smartphone Fitness Apps.
D Yoganathan, S Kajanan
PACIS, 185, 2013
762013
Do app launch times impact their subsequent commercial success? an analytical approach
D Datta, S Kajanan
2013 International Conference on Cloud Computing and Big Data, 205-210, 2013
382013
What drives fitness apps usage? An empirical evaluation
D Yoganathan, S Kajanan
Creating Value for All Through IT: IFIP WG 8.6 International Conference on …, 2014
352014
Designing fitness apps using persuasive technology: a text mining approach
D Yoganathan, K Sangaralingam
242015
A mobile app search engine
A Datta, S Kajanan, N Pervin
Mobile Networks and Applications 18, 42-59, 2013
242013
Takeoff and sustained success of apps in hypercompetitive mobile platform ecosystems: An empirical analysis
S Kajanan, N Pervin, N Ramasubbu, K Dutta, A Datta
242012
Takeoff and sustained success of apps in hypercompetitive mobile platform ecosystems: an empirical analysis
K Sangaralingam, N Pervin, N Ramasubbu, A Datta, K Dutta
162012
Takeoff and sustained success of apps in hypercompetitive mobile platform ecosystems: an empirical analysis
K Sangaralingam, N Pervin, N Ramasubbu, A Datta, K Dutta
162012
High Value Customer Acquisition & Retention Modelling–A Scalable Data Mashup Approach
K Sangaralingam, N Verma, A Ravi, SW Bae, A Datta
2019 IEEE International Conference on Big Data (Big Data), 1907-1916, 2019
72019
Efficient automatic search query formulation using phrase‐level analysis
S Kajanan, Y Bao, A Datta, D VanderMeer, K Dutta
Journal of the Association for Information Science and Technology 65 (5 …, 2014
72014
Predicting age & gender of mobile users at scale-a distributed machine learning approach
K Sangaralingam, N Verma, A Ravi, A Datta, V Chugh
2018 IEEE International Conference on Big Data (Big Data), 1817-1826, 2018
62018
Do app launch times impact their subsequent commercial success?
D Datta, K Sangaralingam
International Journal of Big Data Intelligence 3 (4), 279-287, 2016
62016
Predicting consumer level brand preferences using persistent mobility patterns
A Ravi, K Sangaralingam, A Datta
2018 IEEE international conference on big data (big data), 1986-1991, 2018
52018
Classification of massive mobile web log URLs for customer profiling & analytics
R Kanagasabai, A Veeramani, H Shangfeng, K Sangaralingam, G Manai
2016 IEEE International Conference on Big Data (Big Data), 1609-1614, 2016
52016
Clairvoyant-push: A real-time news personalized push notifier using topic modeling and social scoring for enhanced reader engagement
S Kajanan, B Tan, VK Singh, CS Saripaka, G Manai
Big Data (Big Data), 2015 IEEE International Conference on, 2913-2915, 2015
52015
Personal Fitness Trainer: the effect of feedback Presentation Formats
D Yoganathan, S Kajanan
42014
Suspicious location detection using trajectory analysis & location backfilling–a scalable approach
S Bae, A Ravi, K Sangaralingam, N Verma, A Datta, V Chugh
2019 IEEE International Conference on Big Data (Big Data), 2007-2010, 2019
32019
ENT disease diagnosis using an expert system
D Yoganathan, S Kajanan
Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk …, 2014
32014
Twitter post filter for mobile applications
S Kajanan, A Shariff, A Datta, K Dutta, D Paul
Proceedings of the Workshop on Information Technology and Systems, 2011
32011
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