Binesh Nair has worked extensively with researchers around the globe in the area of applied data analytics and data mining. He has published several papers in peer-reviewed journals and international conference proceedings.
REFEREED JournalS
Binesh Nair (2023), “Predicting Document Novelty: An Unsupervised Learning Approach”, Knowledge and Information Systems, 1-20. [Details]
Sateesh Shet and Binesh Nair (2023), “Quality of Hire: Expanding the Multi-level Fit Employee Selection using Machine Learning”, International Journal of Organizational Analysis. [Details]
Theo Lynn, Pierangelo Rosati, Binesh Nair and Ciaran Mac an Bhaird (2020), “An Exploratory Data Analysis of the #Crowdfunding Network on Twitter”, Journal of Open Innovation: Technology, Market and Complexity, 6, 80. [Details]
Theo Lynn, Pierangelo Rosati and Binesh Nair (2020), “Calculated vs. Ad Hoc Publics in the #Brexit Discourse on Twitter and the Role of Business Actors”, Information, 11, 435. [Details]
Martin Quinn, Theodore Lynn, Stephen Jollands and Binesh Nair (2016), “Domestic Water Charges in Ireland-Issues and Challenges Conveyed through Social Media”, Water Resources Management, pp: 1-15. [Details]
Binesh Nair and Amiya Kumar Tripathy, (2011), “Accelerating Mining of Closed Frequent Itemsets by Elimination of Null Transactions”, International Journal of Emerging Trends in Computing and Information Sciences, vol.2, No. 7, pp: 317-324. [PDF]
BOOK CHAPTERS
Binesh Nair (2021), “A Classifier to Predict Document Novelty using Association Rule Mining”, Proceedings of International Conference on Machine Intelligence and Data Science Applications (MIDAS) 2020, Prateek M., Singh T.P., Choudhury T., Pandey H.M., Gia and Nhu N. (eds), Algorithms for Intelligent Systems, Springer, Singapore. [Details]
Eamon Costello, Mark Brown, Binesh Nair, Mairéad Nic Giolla Mhichíl, Jingjing Zhang and Theo Lynn (2017), “#MOOC Friends and Followers: An Analysis of Twitter Hashtag Networks”,Digital Education: Out to the World and Back to the Campus, Carlos Delgado Kloos, Patrick Jermann, Mar Pérez-Sanagustín, Daniel T. Seaton and Su White. EMOOCs 2017. Lecture Notes in Computer Science, vol 10254. Springer, Cham. [Details]
Binesh Nair and Amiya Kumar Tripathy, (2011); “Optimizing Frequent Pattern Mining through Elimination of Null Transactions”, Computational Intelligence and Information Technology, Vinu V Das and Nessy Thankachan. CIIT 2011. Communications in Computer and Information Science, vol 250. Springer, Berlin, Heidelberg. [Details]
Conference Proceedings
Binesh Nair and Gaurav Gupta (2023), “Affordances of Social Media in Mental Health Discourse”, IFIP WG 8.6 Conference, IIM Nagpur, December 15th – 16th.
Binesh Nair (2023), “Tracking the Impact of Covid19 Pandemic on the Evolution of Mental Health Narratives on Social Media: An Exploratory Analysis Leveraging Big Data”, International Conference on Health and Social Care Information Systems and Technologies, HCist 2023, Porto, Portugal, November 8th – 10th. [Details]
Subramania Raju Rajasulochana and Binesh Nair (2023), “Narrative Discourse on Prescription Drugs in India during the COVID-19 Pandemic – An Exploratory Study based on Twitter Data”, 8th Indian Academy of Management Conference, NMIMS Mumbai, January 6th – 8th. [Details]
Binesh Nair (2020), “A Classifier to Predict Document Novelty using Association Rule Mining”, International Conference on Machine Intelligence and Data Science Applications (MIDAS), Virtual mode, September 4th – 5th. [Details]
Theodore Gerard Lynn, Pierangelo Rosati, Binesh Nair and Ciarán mac an Bhaird (2017), “Entrepreneurial Participation in the Brexit Discourse: The Utility of Twitter for Stakeholder Identification and Public Policy Insights”, 40th Annual Institute of Small Business and Entrepreneurship Conference, Belfast, November 8th – 9th. [Details]
Theodore Lynn, Pierangelo Rosati, Binesh Nair and Ciarán Bhaird (2017), “Harness the Crowd: An Exploration of the #Crowdfunding Community on Twitter”, 40th Annual Institute of Small Business and Entrepreneurship Conference, Belfast, November 8th – 9th. [Details]
Pierangelo Rosati, Binesh Nair and Theo Lynn (2017), “Calculated vs Ad Hoc Publics in the #Brexit Discourse on Twitter”, 20th Annual Irish Academy of Management Conference, Queen’s University, Belfast, August 30 – September 1. [Details]
Pierangelo Rosati, Binesh Nair and Theo Lynn (2017), “Corporate Socio-Political Involvement: Evidence from #Brexit”, 20th Annual Irish Academy of Management Conference, Queen’s University, Belfast, August 30 – September 1. [Details]
Eamon Costello, Mark Brown, Binesh Nair, Mairéad Nic Giolla Mhichíl, Jingjing Zhang and Theo Lynn (2017), “#MOOC Friends and Followers: An Analysis of Twitter Hashtag Networks”, European Conference on Massive Open Online Courses (pp. 170 – 175), Springer, Cham. [Details]
Jane Suiter, Binesh Nair and Theo Lynn (2017), “The Role of Social Media in Driving Participation and Engagement in Referendums”, ECIU Workshop – Menace or Blessing? The Role of Direct Democracy in the Process of Political Representation, Frankfurt, Germany, April 06 – May 07. [Details]
Mairead Nic Giolla Mhichil, Mark Brown, Eamon Costello, Theo Lynn and Binesh Nair (2017), “MOOC Movers and Shakers: Who is Setting the Agenda?”, OER17: The Politics of Open, London, April 6. [Details]
Pierangelo Rosati, Binesh Nair and Theo Gerard Lynn (2016), “#Bitcoin Vs #Blockchain: The Role of Trust in Disrupting Financial Services”, 7th European Business Research Conference, University of Roma Tre, Rome, December 15-16. [Details]
Eamon Costello, Binesh Nair, Mark Brown, Jingjing Zhang, Mairéad Nic Giolla Mhichíl, Enda Donlon and Theo Lynn (2016), “Social Media #MOOC Mentions: Lessons for MOOC Research from Analysis of Twitter Data”, 33rd International Conference on Innovation, Practice and Research in the use of Educational Technologies in Tertiary Education, Proceedings of ASCILITE, Adelaide (p. 157 – 162). [Details]
Theo Lynn, Binesh Nair, Anna Gourinovitch, Mark Brown and Eamon Costello (2016), “On-Message Out-of-Class: An Exploration in to the Effect of Message Source Credibility and Message Source on Student Engagement on Twitter”, The Next Generation: Digital Learning Research Symposium, Dublin City University, November 1. [Details]
Eamon Costello, Mark Brown, Enda Donlon, Binesh Nair, Mairead Ni Ghiolla Michil, Theo Lynn, Jingjing Zhang and Kirk Perris (2016), “Towards a Research Agenda of MOOCs in Twitter through Analysis of a Large Dataset”, Association for Learning Technology Conference (ALT-C), Connect, Collaborate, Create, University of Warwick, Warwick, September 6-8. [Details]
Eugenia Siapera, Binesh Nair, Theo Lynn and Graham Hunt (2016), “Terrorism on Twitter-Comparing #CharlieHebdo and #ParisAttacks“, VOX-POL Mid-Project Conference: Taking Stock of Research on Violent Online Political Extremism, Dublin City University, Dublin, June 22-24. [Details]
Eamon Costello, Theo Lynn, Mark Brown, Binesh Nair, Enda Donlon and Mairead Nic Giolla Mhichil (2016), “Rising or Falling? Tracing MOOC Trends in Social Media”, The 17th Annual Educational Technology Conference of the Irish Learning Technology Association,EdTech 2016, Law Society of Ireland Education Centre, Blackhall Place, Dublin, May 26-27. [Details]
Theo Lynn, Graham Hunt, Binesh Nair and Roisin Lyons (2016), “Towards an Online Reciprocal Peer Learning Dashboard”, The 17th Annual Educational Technology Conference of the Irish Learning Technology Association,EdTech 2016, Law Society of Ireland Education Centre, Blackhall Place, Dublin, May 26-27. [Details]
Martin John Quinn, Theo Lynn, Stephen Jollands and Binesh Nair, (2016); “Charging for Water Usage in Ireland: Issues and Challenges as conveyed through Twitter”, 2nd Twitter for Research Conference, National University of Ireland, Galway, April 18-19. [Details]
Binesh Nair and Amiya Kumar Tripathy, (2011); “Optimizing Frequent Pattern Mining through Elimination of Null Transactions”, International Conference of Computational Intelligence and Information Technology – CIIT 2011,publisher Springer LNCS-CCIS. November 07-08, Pune, India.(in Springer Press). [Details]
Binesh Nair, (2011); “Mining Frequent Itemsets using Itemset-Pruning method of Closed Frequent Itemset Mining: A case study applied to Health Care”, National Research Conference, Navi Mumbai, February 12th, pp 61-71.– Master’s Thesis – Best Paper Runner-up (Technology Track)
Articles
Binesh Nair, (2019), “Monetize Dormant Data: 3 Steps for C-Suite Executives to Integrate Analytics into Decision Making”, CSI Communications, ISSN 0970-647X, May 2019, Volume No. 43, Issue N0.2, Page No. 23. [PDF]
Binesh Nair, (2014), “Reaping ROI from Big Data”, CSI Communications, ISSN 0970-647X, June 2014, Volume No. 38, Issue N0.3, Page No. 28. [PDF]
Research Profiles
Please find Binesh’s Google Scholar profile here and Research Gate profile here.