World's Best Scientists 2026 revealed!
Nick Cercone

Nick Cercone

D-Index & Metrics

Computer Science

D-Index
42
Citations
10898
World Ranking
8212
National Ranking
330

Overview

Nick Cercone was a researcher affiliated with York University in Canada whose work primarily contributed to the field of Computer Science. Their research spanned several subfields, including Computational Theory and Mathematics, Information Systems, and Artificial Intelligence.

Their scholarly focus encompassed key topics such as Rough Sets and Fuzzy Logic, Data Mining Algorithms and Applications, and Logic, Reasoning, and Knowledge. These areas reflect a concentration on foundational theories and practical approaches within computer science, especially related to knowledge representation and data analysis.

Throughout their career, Nick Cercone frequently collaborated with other experts, notably with Jianchao Han, with whom they coauthored multiple publications.

  • Rough Sets and Fuzzy Logic
  • Data Mining Algorithms and Applications
  • Logic, Reasoning, and Knowledge

  • Computational Theory and Mathematics
  • Information Systems
  • Artificial Intelligence

  • Jianchao Han

Best Publications

  • LEARNING IN RELATIONAL DATABASES: A ROUGH SET APPROACH

    Xiaohua Hu;Nick Cercone

  • N-GRAM-BASED AUTHOR PROFILES FOR AUTHORSHIP ATTRIBUTION

    Vlado Ke;Fuchun Peng;Nick Cercone;Calvin Thomas

  • Knowledge Discovery in Databases: An Attribute-Oriented Approach

    Jiawei Han;Yandong Cai;Nick Cercone

  • Data-driven discovery of quantitative rules in relational databases

    J. Han;Y. Cai;N. Cercone

  • Rough Sets and Data Mining: Analysis of Imprecise Data

    T. Y. Lin;N. Cercone

  • N-gram-based detection of new malicious code

    T. Abou-Assaleh;N. Cercone;V. Keselj;R. Sweidan

  • Rough Sets and Data Mining

    T. Y. Lin;N. Cercone

  • Discovering rules for water demand prediction: An enhanced rough-set approach☆

    Aijun An;Ning Shan;Christine Chan;Nick Cercone

  • What is knowledge representation

    N Cercone;G. McCalla

  • Detection of New Malicious Code Using N-grams Signatures.

    Tony Abou-Assaleh;Nick Cercone;Vlado Keselj;Ray Sweidan

  • Intelligent query answering by knowledge discovery techniques

    Jiawei Han;Yue Huang;N. Cercone;Yongjian Fu

  • Automatic detection and rating of dementia of Alzheimer type through lexical analysis of spontaneous speech

    C. Thomas;V. Keselj;N. Cercone;K. Rockwood

  • Mining knowledge rules from databases: a rough set approach

    Xiaohua Hu;N. Cercone

  • RULE QUALITY MEASURES FOR RULE INDUCTION SYSTEMS: DESCRIPTION AND EVALUATION

    Aijun An;Nick Cercone

  • THE STRUCTURE AND ORGANIZATION OF A SEMANTIC NET FOR COMPREHENSION AND INFERENCE

    Lenhart K. Schubert;Randolph G. Goebel;Nicholas J. Cercone

  • Applying Machine Learning to Text Segmentation for Information Retrieval

    Xiangji Huang;Fuchun Peng;Dale Schuurmans;Nick Cercone

  • Rule-induction and case-based reasoning: hybrid architectures appear advantageous

    N. Cercone;Aijun An;C. Chan

  • An attribute-oriented approach for learning classification rules from relational databases

    Y. Cai;N. Cercone;J. Han

  • Integrating rough set theory and medical applications

    Puntip Pattaraintakorn;Nick Cercone

  • The knowledge frontier: essays in the representation of knowledge

    Nick Cercone;Gordon McCalla

  • Computational linguistics

    Nick Cercone

Frequent Co-Authors

Aijun An
Aijun An York University
Xiaohua Hu
Xiaohua Hu Drexel University
Jiawei Han
Jiawei Han University of Illinois at Urbana-Champaign
Christine W. Chan
Christine W. Chan University of Regina
Wojciech Ziarko
Wojciech Ziarko University of Regina
Dale Schuurmans
Dale Schuurmans University of Alberta
Tsau Young Lin
Tsau Young Lin San Jose State University
Stephen Robertson
Stephen Robertson University College London
Igor Jurisica
Igor Jurisica University Health Network
Frances A. Shepherd
Frances A. Shepherd Princess Margaret Cancer Centre

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