Pawan Lingras

Pawan Lingras is a professor of mathematics and computing science at Saint Mary's University (Halifax). Pawan received his PhD in computer science from the University of Regina (Canada). His research interests include data mining, Web intelligence, artificial intelligence, reasoning under uncertainty, fuzzy sets, rough sets, interval computing, applications in traffic engineering, e-commerce, and marketing. Pawan has published more than 25 journal and 70 conference papers in computer science and traffic engineering journals and conferences.

Publications

Foreword
Foreword
Pawan Lingras. © 2017. 2 pages.
This Foreword is included in the book Handbook of Research on Soft Computing and Nature-Inspired Algorithms.
Clustering-Based Stability and Seasonality Analysis for Optimal Inventory Prediction
Clustering-Based Stability and Seasonality Analysis for Optimal Inventory Prediction
Manish Joshi, Pawan Lingras, Gajendra Wani, Peng Zhang. © 2014. 18 pages.
This chapter exemplifies how clustering can be a versatile tool in real life applications. Optimal inventory prediction is one of the important issues faced by owners of retail...
Hyperlink Structure Inspired by Web Usage
Hyperlink Structure Inspired by Web Usage
Pawan Lingras, Rucha Lingras. © 2010. 14 pages.
This chapter describes how Web usage patterns can be used to improve the navigational structure of a Web site. The discussion begins with an illustration of visualization tools...
Hyperlink Structure Inspired by Web Usage
Hyperlink Structure Inspired by Web Usage
Pawan Lingras. © 2009. 15 pages.
This chapter describes how Web usage patterns can be used to improve the navigational structure of a Web site. The discussion begins with an illustration of visualization tools...
Rough Computing: Theories, Technologies and Applications
Rough Computing: Theories, Technologies and Applications
Aboul Ella Hassanien, Zbigniew Suraj, Dominik Slezak, Pawan Lingras. © 2008. 314 pages.
Rough set theory is a new soft computing tool which deals with vagueness and uncertainty. It has attracted the attention of researchers and practitioners worldwide, and has been...
Interval Set Representations of Clusters
Interval Set Representations of Clusters
Pawan Lingras, Rui Yan, Mofreh Hogo, Chad West. © 2005. 5 pages.
The amount of information that is available in the new information age has made it necessary to consider various summarization techniques. Classification, clustering, and...