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Personal profile

Quote

“Inspired by challenges of real-world applications, I develop the foundation for next generation predictive analytics.”

Research profile

Mykola Pechenizkiy is a Full Professor at the department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), where he holds the Data Mining Chair. His research interests include data science, knowledge discovery and data mining, responsible analytics, including ethics/discrimination-awareness, context-aware predictive analytics, handling concept drift and reoccurring contexts, automation of feature construction and analytics on evolving networks.

His core expertise and research interests are in predictive analytics and knowledge discovery from evolving data, and in their application to real-world problems in industry, medicine and education. At the Data Science Center Eindhoven, he leads the Customer Journey interdisciplinary research program aiming at developing techniques for informed and responsible analytics.

Academic background

Mykola Pechenizkiy received his PhD from the Computer Science and Information Systems department at the University of Jyväskylä, Finland in 2005. In addition to his work at TU/e, he is an Adjunct Professor in Data Mining for Industrial Applications at the Department of Mathematical Information Technology the University of Jyväskylä. He has also been a visiting researcher at several universities, including Aalto University, University of Bournemouth, Columbia University, University of Cordoba, New York University, University Porto, University of Technology Sydney, Trinity College Dublin, and the University of Ulster.

Mykola has co-authored more than 100 peer-reviewed publications. He has been involved in organizing several successful conferences, thematic workshops and special issues with journals. He regularly serves on several program committees of leading data mining and AI conferences, including AAAI, IJCAI, ECMLPKDD, EDM, LAK, IDA, DSAA, DS, AISTATS, NIPS, SDM and editorial boards of DAMI, IEEE TLT and JEDM journals. He serves as the President of IEDMS, the International Educational Data Mining Society. 

Affiliated with

Partners in (semi-)industry 

  • Adversitement
  • ASML
  • Betabit
  • C-Content
  • Coosto
  • IMEC
  • Microsoft
  • Multiscope
  • NLR
  • Océ
  • Philips Lighting
  • Philips Research
  • PSV
  • Rabobank
  • Sanoma Media Group
  • Sligro Food Group
  • StudyPortals
  • Teezir

Fingerprint Dive into the research topics where Mykola Pechenizkiy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Research Output

A white-box anomaly-based framework for database leakage detection

Costante, E., den Hartog, J., Petkovic, M., Etalle, S. & Pechenizkiy, M., 1 Feb 2017, In : Journal of Information Security and Applications. 32, p. 27-46 20 p.

Research output: Contribution to journalArticleAcademicpeer-review

  • 14 Citations (Scopus)
    9 Downloads (Pure)

    Mining context-aware association rules using grammar-based genetic programming

    Luna, J. M., Pechenizkiy, M., del Jesus, M. J. & Ventura, S., 1 Nov 2018, In : IEEE Transactions on Cybernetics. 48, 11, p. 3030-3044 15 p., 8049471.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 6 Citations (Scopus)

    Apriori versions based on MapReduce for mining frequent patterns on big data

    Luna, J. M., Padillo, F., Pechenizkiy, M. & Ventura, S., Oct 2018, In : IEEE Transactions on Cybernetics. 48, 10, p. 2851-2865 15 p., 8052219.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 14 Citations (Scopus)

    Speeding-up association rule mining with inverted index compression

    Luna, J. M., Cano, A., Pechenizkiy, M. & Ventura, S., 2016, In : IEEE Transactions on Cybernetics. 46, 12, p. 3059-3072

    Research output: Contribution to journalArticleAcademicpeer-review

  • 18 Citations (Scopus)

    Mining exceptional relationships with grammar-guided genetic programming

    Luna, J. M., Pechenizkiy, M. & Ventura, S., Jun 2016, In : Knowledge and Information Systems. 47, 3, p. 571-594 24 p.

    Research output: Contribution to journalArticleAcademicpeer-review

  • 8 Citations (Scopus)
    5 Downloads (Pure)

    Courses

    Capita selecta Data Mining

    1/09/16 → …

    Course

    Data mining

    1/09/15 → …

    Course

    Responsible Data Science

    1/09/19 → …

    Course

    Seminar Data Mining

    1/09/16 → …

    Course

    Web analytics

    1/09/1331/08/20

    Course

    Press / Media

    Data correlation helps recognize pickpockets

    Mykola Pechenizkiy

    12/07/18

    2 items of Media coverage

    Press/Media: Expert Comment

    Conference Interpretation Today

    Mykola Pechenizkiy

    19/04/18

    1 item of Media coverage

    Press/Media: Expert Comment

    AI Accelerator Program by Rockstart at JADS in Den Bosch

    Mykola Pechenizkiy

    19/04/17

    1 item of Media coverage

    Press/Media: Expert Comment

    Europe’s Rockstart accelerator launches an AI track

    Mykola Pechenizkiy

    12/04/17

    2 items of Media coverage

    Press/Media: Expert Comment

    Student theses

    A framework for aligning social media and web analytics data to support search engine marketing

    Author: Ongan, M., 31 Aug 2011

    Supervisor: Pechenizkiy, M. (Supervisor 1) & Budziak, G. (External coach)

    Student thesis: Master

    File

    A framework for understanding business process remaining time predictions

    Author: Verhoef, C., 28 Oct 2019

    Supervisor: Pechenizkiy, M. (Supervisor 1) & Scheepens, R. J. (Supervisor 2)

    Student thesis: Master

    A method for identifying undesired medical treatment variants using process and data mining techniques

    Author: Cremers, L., 31 Jul 2018

    Supervisor: Vanderfeesten, I. (Supervisor 1), Medeiros de Carvalho, R. (Supervisor 2) & Pechenizkiy, M. (Supervisor 2)

    Student thesis: Master

    File

    Analyzing machine data for predictive maintenance of electro chemical machining electrodes

    Author: Wang, F., 26 Sep 2016

    Supervisor: Pechenizkiy, M. (Supervisor 1), Wouters, K. (External person) (External coach) & Gao, K. (External person) (External coach)

    Student thesis: Master

    File