Research interests
  Teaching experience
  Publication record
  Academic activities
(view all)

   Dec 1
Journal paper accepted
The paper "Efficient Detection of Faulty Nodes with Cuckoo Search in t-Diagnosable Systems" has been accepted for publication at the Applied Soft Computing journal.

 Nov 18
Award received
Rafael has been selected as the recipient of the 2014 MITACS & NRC-IRAP Award for Commercialization.

   Aug 15
Conference paper accepted
The paper "Risk Management with Hard-Soft Data Fusion in Maritime Domain Awareness" has been accepted for presentation at the 2014 IEEE Symposium on Computational Intelligence for Security and Defense Applications (IEEE CISDA 2014)

   Jun 1st
Conference paper  accepted
The paper "Vessel Tracking and Anomaly Detection using Level 0/1 and High-Level Information Fusion Techniques" has been accepted for presentation at the 6th International Workshop on Soft Computing Applications (SOFA 2014).

   May 13
R&D project awarded
Larus Technologies was awarded a 2-year R&D Mitacs Accelerate Cluster to develop "Risk Aware Decision Support Systems for Critical Infrastructure Protection and Territorial Security"

Rough Set Theory: A True Landmark in Data Analysis

  • A. Abraham, Norwegian University of Science and Technology, Trondheim, Norway

  • R. Falcón, University of Ottawa, ON, Canada

  • R. Bello, Central Univ. of Las Villas, Santa Clara, Cuba
      "Online version available"

    Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as well as strengthening its linkage with other soft computing paradigms.

    The volume comprises 11 chapters and is organized into three parts. Part 1 deals with theoretical contributions while Parts 2 and 3 focus on several real world data mining applications. Chapters authored by pioneers were selected on the basis of fundamental ideas/concepts rather than the thoroughness of techniques deployed. Academics, scientists as well as engineers working in the rough set, computational intelligence, soft computing and data mining research area will find the comprehensive coverage of this book invaluable

    Copyright © Rafael Falcon | All Rights