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Thirunavukarasu Balasubramaniam

Nonnegative Matrix Factorization to understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study



Anandkumar Balasubramaniam , Thirunavukarasu Balasubramaniam , Rathinaraja Jeyaraj , Anand Paul , Richi Nayak

* Accepted in the 19th Australasian Data Mining Conference 2021 

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A Semi-automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry



Richi Nayak , Thirunavukarasu Balasubramaniam , Sangeetha Kutty , Sachindra Banduthilaka , Erin Peterson

* Accepted in the 19th Australasian Data Mining Conference 2021 

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Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland



Yasuko Okamoto , Thirunavukarasu Balasubramaniam , Richi Nayak

* Accepted in The 19th Australasian Data Mining Conference 2021 

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Understanding the Spatio-temporal Topic Dynamics of Covid-19 using Nonnegative Tensor Factorization: A Case Study



Thirunavukarasu Balasubramaniam , Richi Nayak , Md Abul Bashar

* Accepted in 18th Australasian Data Mining Conference (AusDM) 

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Topic, Sentiment and Impact Analysis: COVID19 Information Seeking on Social Media



Md Abul Bashar , Richi Nayak , Thirunavukarasu Balasubramaniam


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Efficient Nonnegative Tensor Factorization via Saturating Coordinate Descent



Thirunavukarasu Balasubramaniam , Richi Nayak , Chau Yuen

* Accepted for publication in ACM Transactions on Knowledge Discovery from Data 

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Columnwise Element Selection for Computationally Efficient Nonnegative Coupled Matrix Tensor Factorization



Thirunavukarasu Balasubramaniam , Richi Nayak , Chau Yuen

* To appear in IEEE Transactions on Knowledge and Data Engineering (TKDE) 

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