World's Best Scientists 2026 revealed!
Philippe Fournier-Viger

Philippe Fournier-Viger

D-Index & Metrics

Computer Science

D-Index
62
Citations
13523
World Ranking
2941
National Ranking
401

Overview

Philippe Fournier-Viger is affiliated with Shenzhen University in China and has a significant publication record in the field of computer science, with a focus on artificial intelligence and data mining. Their research work spans several subfields, including artificial intelligence, information systems, computational theory and mathematics, signal processing, and molecular biology.

The scientist has contributed notably to the study and development of data mining algorithms and applications, covering a range of topics such as rough sets and fuzzy logic, data management and algorithms, imbalanced data classification techniques, algorithms and data compression, advanced database systems and queries, and time series analysis and forecasting.

Frequent coauthors collaborating with Philippe Fournier-Viger include Jerry Chun-Wei Lin, M. Saqib Nawaz, Yulin He, Youxi Wu, and Wensheng Gan.

Philippe Fournier-Viger's recent papers demonstrate an engagement with utility mining, artificial intelligence applications, and pattern mining techniques. Notable recent publications include:

  • "Using artificial intelligence techniques for COVID-19 genome analysis" (2021), published in Applied Intelligence
  • "Fast Utility Mining on Sequence Data" (2020), published in IEEE Transactions on Cybernetics
  • "A predictive GA-based model for closed high-utility itemset mining" (2021), published in Applied Soft Computing
  • "A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data" (2020), published in Information Sciences
  • "Mining High Utility Itemsets with Hill Climbing and Simulated Annealing" (2021), published in ACM Transactions on Management Information Systems

The scientist has contributed extensively to several publication venues over their career. The most frequent of these are Applied Intelligence and Information Sciences, each with 18 publications, arXiv (Cornell University) with 14, Knowledge-Based Systems with 10, and IEEE Access with 7 publications.

Philippe Fournier-Viger has authored multiple books published by Springer Science+Business Media. These works focus on artificial intelligence and data engineering topics, including:

  • "Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence" (2022)
  • "Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices" (2020)
  • "Advances in Model and Data Engineering in the Digitalization Era" (2022)
  • "Data Science and Machine Learning" (2023)
  • "Model and Data Engineering" (2022)

Best Publications

  • The SPMF Open-Source Data Mining Library Version 2

    Philippe Fournier-Viger;Jerry Chun-Wei Lin;Antonio Gomariz;Ted Gueniche

  • SPMF: a Java open-source pattern mining library

    Philippe Fournier-Viger;Antonio Gomariz;Ted Gueniche;Azadeh Soltani

  • FHM: Faster High-Utility Itemset Mining using Estimated Utility Co-occurrence Pruning

    Philippe Fournier-Viger;Cheng Wei Wu;Souleymane Zida;Vincent Shin-Mu Tseng

  • A Survey of Utility-Oriented Pattern Mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • Binary dragonfly optimization for feature selection using time-varying transfer functions

    Majdi M. Mafarja;Ibrahim Aljarah;Ali Asghar Heidari;Hossam Faris

  • A Survey of Parallel Sequential Pattern Mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • Fast Vertical Mining of Sequential Patterns Using Co-occurrence Information

    Philippe Fournier-Viger;Antonio Gomariz;Manuel Campos;Rincy Thomas

  • Efficient Algorithms for Mining Top-K High Utility Itemsets

    Vincent S. Tseng;Cheng-Wei Wu;Philippe Fournier-Viger;Philip S. Yu

  • A survey of itemset mining

    Philippe Fournier‐Viger;Jerry Chun‐Wei Lin;Bay Vo;Bay Vo;Tin Truong Chi

  • EFIM: a fast and memory efficient algorithm for high-utility itemset mining

    Souleymane Zida;Philippe Fournier-Viger;Jerry Chun-Wei Lin;Cheng-Wei Wu

  • Frequent itemset mining: A 25 years review

    José María Luna;Philippe Fournier-Viger;Sebastián Ventura;Sebastián Ventura

  • EFIM: A highly efficient algorithm for high-utility itemset mining

    Souleymane Zida;Philippe Fournier-Viger;Jerry Chun Wei Lin;Cheng Wei Wu

  • CMRules: Mining sequential rules common to several sequences

    Philippe Fournier-Viger;Usef Faghihi;Roger Nkambou;Engelbert Mephu Nguifo

  • A survey of incremental high-utility itemset mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • HUOPM: High-Utility Occupancy Pattern Mining

    Wensheng Gan;Jerry Chun-Wei Lin;Philippe Fournier-Viger;Han-Chieh Chao

  • Efficient Algorithms for Mining the Concise and Lossless Representation of High Utility Itemsets

    Vincent S. Tseng;Cheng-Wei Wu;Philippe Fournier-Viger;Philip S. Yu

  • A binary PSO approach to mine high-utility itemsets

    Jerry Chun-Wei Lin;Lu Yang;Philippe Fournier-Viger;Tzung-Pei Hong

  • RuleGrowth: mining sequential rules common to several sequences by pattern-growth

    Philippe Fournier-Viger;Roger Nkambou;Vincent Shin-Mu Tseng

  • VMSP: Efficient vertical mining of maximal sequential patterns

    Philippe Fournier-Viger;Cheng-Wei Wu;Antonio Gomariz;Vincent S. Tseng

  • Mining high-utility itemsets based on particle swarm optimization

    Jerry Chun-Wei Lin;Lu Yang;Philippe Fournier-Viger;Jimmy Ming-Thai Wu

  • Efficient algorithms for mining high-utility itemsets in uncertain databases

    Jerry Chun-Wei Lin;Wensheng Gan;Philippe Fournier-Viger;Tzung-Pei Hong

  • Fingerprint classification and identification algorithms for criminal investigation: A survey

    Khin Nandar Win;Kenli Li;Jianguo Chen;Philippe Fournier Viger

Frequent Co-Authors

Tzung-Pei Hong
Tzung-Pei Hong National University of Kaohsiung
Wensheng Gan
Wensheng Gan Jinan University
Vincent S. Tseng
Vincent S. Tseng National Yang Ming Chiao Tung University
Han-Chieh Chao
Han-Chieh Chao Fo Guang University
Youcef Djenouri
Youcef Djenouri University of South-Eastern Norway
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
Unil Yun
Unil Yun Sejong University
Hamido Fujita
Hamido Fujita University of Technology Malaysia
Miroslav Voznak
Miroslav Voznak VSB – Technical University of Ostrava
Bay Vo
Bay Vo Ho Chi Minh City University of Technology

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