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Indranil Bose
Researcher at Indian Institute of Management Calcutta
Publications - 121
Citations - 4306
Indranil Bose is an academic researcher from Indian Institute of Management Calcutta. The author has contributed to research in topics: Computer science & Cluster analysis. The author has an hindex of 30, co-authored 97 publications receiving 3629 citations. Previous affiliations of Indranil Bose include James Madison University & University of Florida.
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Manipulation of online reviews: An analysis of ratings, readability, and sentiments
TL;DR: A simple statistical method is proposed to detect online reviews manipulation, and assess how consumers respond to products with manipulated reviews, and the effectiveness of manipulation through ratings, sentiments, and readability is investigated.
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Detection of financial statement fraud and feature selection using data mining techniques
TL;DR: Data mining techniques such as Multilayer Feed Forward Neural Network, Support Vector Machines, genetic programming, Genetic Programming, Group Method of Data Handling, Logistic Regression, and Probabilistic Neural Network are used to identify companies that resort to financial statement fraud.
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Business data mining-a machine learning perspective
Indranil Bose,Radha K. Mahapatra +1 more
TL;DR: An overview of machine learning techniques is provided and their strengths and weaknesses in the context of mining business data are discussed.
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Prediction of financial distress: An empirical study of listed Chinese companies using data mining
TL;DR: This paper studies the phenomenon of financial distress for 107 Chinese companies that received the label ‘special treatment’ from 2001 to 2008 to discover that financial indicators play an important role in prediction of deterioration in profitability.
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Managing a Big Data project: The case of Ramco Cements Limited
TL;DR: The goal of this paper is to develop a new framework that can provide organizations a holistic roadmap in conceptualizing, planning and successfully implementing Big Data projects and to validate this framework through the observation of a descriptive case study of an organization that has implemented such a project.