Takeoff and Sustained Success of Apps in Hypercompetitive Mobile Platform Ecosystems: An Empirical Analysis. - Sangaralingam Kajanan; Nargis Pervin; Narayan Ramasubbu; Anindya Datta; Kaushik Dutta (ICIS, 2012)

Resolving Name Conflicts for Mobile Apps in Twitter Posts. - Sangaralingam Kajanan; Ahmed Shafeeq Bin Mohd Shariff; Kaushik Dutta; Anindya Datta (Shaping the Future of ICT Research, 2012)

Persuasive Technology for Smartphone Fitness Apps. - Duwaraka Yoganathan; Sangaralingam Kajanan (PACIS, 2013)

A Mobile App Search Engine. - Anindya Datta; Sangaralingam Kajanan; Nargis Pervin (Mob. Networks Appl., 2013)

Market Intelligence in Hypercompetitive Mobile Platform Ecosystems: A Pricing Strategy. - Hoang D. Nguyen; Sangaralingam Kajanan; Danny Chiang Choon Poo (HCI (18), 2014)

ENT Disease Diagnosis Using an Expert System. - Duwaraka Yoganathan; Sangaralingam Kajanan (HCI (20), 2014)

What Drives Fitness Apps Usage? An Empirical Evaluation. - Duwaraka Yoganathan; Sangaralingam Kajanan (TDIT, 2014)

Personal Fitness Trainer: the effect of feedback Presentation Formats. - Duwaraka Yoganathan; Sangaralingam Kajanan (PACIS, 2014)

Efficient automatic search query formulation using phrase-level analysis. - Sangaralingam Kajanan; Yang Bao 001; Anindya Datta; Debra E. VanderMeer; Kaushik Dutta (J. Assoc. Inf. Sci. Technol., 2014)

Clairvoyant-push: A real-time news personalized push notifier using topic modeling and social scoring for enhanced reader engagement. - Biying Tan; Sangaralingam Kajanan; Vivek Kumar Singh; Chandra Sekhar Saripaka; Giuseppe Manai (IEEE BigData, 2015)

Designing Fitness Apps Using Persuasive Technology: A Text Mining Approach. - Duwaraka Yoganathan; Sangaralingam Kajanan (PACIS, 2015)

Classification of massive mobile web log URLs for customer profiling & analytics. - Rajaraman Kanagasabai; Anitha Veeramani; Shangfeng Hu; Sangaralingam Kajanan; Giuseppe Manai (IEEE BigData, 2016)

Do app launch times impact their subsequent commercial success? - Diya Datta; Sangaralingam Kajanan (Int. J. Big Data Intell., 2016)

Predicting Age & Gender of Mobile Users at Scale - A Distributed Machine Learning Approach. - Sangaralingam Kajanan; Nisha Verma; Aravind Ravi; Anindya Datta; Varun Chugh (IEEE BigData, 2018)

Predicting Consumer Level Brand Preferences Using Persistent Mobility Patterns. - Aravind Ravi; Sangaralingam Kajanan; Anindya Datta (IEEE BigData, 2018)

Suspicious Location Detection Using Trajectory Analysis & Location Backfilling - A Scalable Approach. - Su Won Bae; Aravind Ravi; Sangaralingam Kajanan; Nisha Verma; Anindya Datta; Varun Chugh (IEEE BigData, 2019)

High Value Customer Acquisition & Retention Modelling - A Scalable Data Mashup Approach. - Sangaralingam Kajanan; Nisha Verma; Aravind Ravi; Su Won Bae; Anindya Datta (IEEE BigData, 2019)

Goal-driven Look-alike Modelingfor Mobile Consumers. - Nisha Verma; Sangaralingam Kajanan; Anindya Datta (BigDataSE, 2020)

Anovos: A Scalable Feature Engineering Library. - Anindya Datta; Sangaralingam Kajanan; Sinuo Chen; Dat Tran; Sourjya Sen; Ravish Ranjan (IEEE Big Data, 2022)

Scalable Household Identification using Mobile Engagement Data - A Weighted Two-Mode Network Approach. - Vishnu Gowthem Thangaraj; Sangaralingam Kajanan; Nisha Verma; Sinuo Chen; Anindya Dutta (IEEE Big Data, 2022)