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In 2003, Dr. Anand moved back to academia to pursue his research interests but remained active as a consultant working with businesses to unlock business value from their data assets.
He has published over 90 academic papers on machine learning while he was an Associate Professor at the University of Warwick and previous academic posts in the United Kingdom. He has used these algorithms to develop solutions in areas as diverse as pay-per-click optimization, recommender systems, prognostic models for chronic illnesses, diver monitoring using CAN bus data, cross-selling and up-selling products in financial retail, churn prediction, house price prediction for the Telecoms, Financial, Retail, Automotive, Manufacturing and Public Sector. His first startup in Ireland won the European IST prize amongst other technology accolades.
He has published over 90 academic papers on machine learning while he was an Associate Professor at the University of Warwick and previous academic posts in the United Kingdom. He has used these algorithms to develop solutions in areas as diverse as pay-per-click optimization, recommender systems, prognostic models for chronic illnesses, diver monitoring using CAN bus data, cross-selling and up-selling products in financial retail, churn prediction, house price prediction for the Telecoms, Financial, Retail, Automotive, Manufacturing and Public Sector. His first startup in Ireland won the European IST prize amongst other technology accolades.
研究兴趣
论文共 58 篇作者统计合作学者相似作者
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Computer Assisted Mass Appraisalpp.59-77, (2018)
Autonomous Agents and Multi-Agent Systemsno. 5 (2013): 836-866
Knowledge and Information Systemsno. 1 (2013): 61-82
AutomotiveUI '12: Proceedings of the 4th International Conference on Automotive User Interfaces and Interactive Vehicular Applicationspp.233-240, (2012)
CHIpp.1-8, (2012)
RecSys '11: Fifth ACM Conference on Recommender Systems
Chicago
Illinois
USA
October, 2011pp.383-384, (2011)
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