M
Martin Aruldoss
Researcher at Pondicherry University
Publications - 7
Citations - 411
Martin Aruldoss is an academic researcher from Pondicherry University. The author has contributed to research in topics: Business intelligence & Computer science. The author has an hindex of 5, co-authored 5 publications receiving 332 citations.
Papers
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A Survey on Multi Criteria Decision Making Methods and Its Applications
TL;DR: Multi Criteria Decision Making (MCDM) provides strong decision making in domains where selection of best alternative is highly complex as discussed by the authors, MCDM method helps to choose the best alternatives where many criteria have come into existence, the best one can be obtained by analyzing the different scope for the criteria, weights for the criterion and the choose the optimum ones using any multi criteria decision making techniques.
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A survey on recent research in business intelligence
TL;DR: A literature review on recent works in BI is presented to identify areas lacking in recent research, thereby offering potential opportunities for investigation.
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A Framework for Predicting Phishing Websites Using Neural Networks
Martin Aruldoss,Na. Ba. Anutthamaa,M. Sathyavathy,Marie Manjari Saint Francois,V. Prasanna Venkatesan +4 more
TL;DR: This paper describes a framework to better classify and predict the phishing sites using neural networks and describes a multilayer system which reduces the error and increases the performance.
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A Framework for Business Intelligence Application using Ontological Classification
TL;DR: A new framework for Business Intelligence is developed to capture specific information by using web semantics using Ontological model and the relations between the data are mined using decision tree.
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A reference model for business intelligence to predict bankruptcy
TL;DR: This paper aims to discuss the design and approach of a Reference Model for Business Intelligence to Predict Bankruptcy, which is designed by applying unit operations as hierarchical structure with abstract components and the components, which are part of the reference model.