Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

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Learning classifiers from imbalanced and evolving data

2013/11/B/ST6/00963

Keywords:

supervised learning of classifiers imbalanced data evolving data streams concept drift

Descriptors:

  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • ST6_7: Artificial intelligence, intelligent systems, multi-agent systems

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Politechnika Poznańska, Wydział Informatyki

woj. wielkopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

dr hab. Jerzy Stefanowski 

Number of co-investigators in the project: 6

Call: OPUS 6 - announced on 2013-09-16

Amount awarded: 497 770 PLN

Project start date (Y-m-d): 2014-07-16

Project end date (Y-m-d): 2017-07-15

Project duration:: 36 months (the same as in the proposal)

Project status: Project settled

Information in the final report

  • Publication in academic press/journals (15)
  • Articles in post-conference publications (15)
  • Book publications / chapters in book publications (9)
  1. Measures of rule interestingness in various perspectives of confirmation
    Authors:
    Salvatore Greco, Roman Słowiński, Izabela Szczęch
    Academic press:
    Information Sciences (rok: 2016, tom: 346-347, strony: 216-235), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2016.01.056 - link to the publication
  2. Can interestingness measures be usefully visualized?
    Authors:
    Robert Susmaga,Izabela Szczęch
    Academic press:
    International Journal of Applied Mathematics and Computer Science (rok: 2015, tom: 25 (2), strony: 323–336), Wydawca: bd.
    Status:
    Published
    DOI:
    10.1515/amcs-2015-0025 - link to the publication
  3. Open Challenges for Data Stream Mining Research
    Authors:
    Georg Krempl, Indre Zliobaite Dariusz Brzezinski, Eyke Hullermeier, Mark Last, Vincent Lemaire, Tino Noack, Ammar Shaker, Sonja Sievi, Myra Spiliopoulou, Jerzy Stefanowski
    Academic press:
    SIGKDD Explorations (rok: 2014, tom: 16(1), strony: 45301), Wydawca: ACM
    Status:
    Published
    DOI:
    brak - link to the publication
  4. SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering.
    Authors:
    José A. Sáez, Julián Luengo, Jerzy Stefanowski, Francisco Herrera
    Academic press:
    Information Sciences (rok: 2015, tom: 291, strony: 184-203), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.ins.2014.08.051 - link to the publication
  5. Addressing imbalanced data with argument based rule learning
    Authors:
    Krystyna Napierała, Jerzy Stefanowski
    Academic press:
    Expert Systems with Applications (rok: 2015, tom: 42 (24), strony: 9468-9481), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.eswa.2015.07.076 - link to the publication
  6. Learning Ensemble Classifiers for Diabetic Retinopathy Assessment
    Authors:
    Emran Saleh, Jerzy Blaszczynski, Antonio Moreno, Aida Valls, Pedro Romero-Aroca, Sofia de la Riva-Fernandez, Roman Slowinski
    Academic press:
    Artificial Intelligence in Medicine (rok: 2018, tom: 85, strony: 50-63), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.artmed.2017.09.006 - link to the publication
  7. Multi-class and feature selection extensions of Roughly Balanced Bagging for imbalanced data
    Authors:
    Mateusz Lango, Jerzy Stefanowski
    Academic press:
    Journal of Intelligent Information Systems (rok: 2018, tom: 50(1), strony: 97-127), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10844-017-0446-7 - link to the publication
  8. Neighbourhood Sampling in Bagging for Imbalanced Data
    Authors:
    Jerzy Błaszczyński, Jerzy Stefanowski
    Academic press:
    Neurocomputing (rok: 2015, tom: 150 (B), strony: 529-542), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.neucom.2014.07.064 - link to the publication
  9. Prequential AUC: Properties of the Area Under the ROC Curve for Data Streams with Concept Drift
    Authors:
    Dariusz Brzezinski, Jerzy Stefanowski
    Academic press:
    Knowledge and Information Systems (rok: 2017, tom: 52(2), strony: 531-562), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10115-017-1022-8 - link to the publication
  10. Post-processing of BRACID Rules Induced from Imbalanced Data
    Authors:
    Krystyna Napierała, Jerzy Stefanowski
    Academic press:
    Fundamenta Informaticae (rok: 2016, tom: 148 (1-2), strony: 51-64), Wydawca: IOS Press
    Status:
    Published
    DOI:
    10.3233/FI-2016-1300 - link to the publication
  11. Abstaining in Rule Set Bagging for Imbalanced Data
    Authors:
    Krystyna Napierała, Jerzy Stefanowski
    Academic press:
    Logic Journal of the IGPL (rok: 2015, tom: 23 (3), strony: 421-430), Wydawca: Oxford University Press
    Status:
    Published
    DOI:
    10.1093/jigpal/jzv006 - link to the publication
  12. Difficulty Factors and Preprocessing in Imbalanced Data Sets: An Experimental Study on Artificial Data
    Authors:
    Szymon Wojciechowski, Szymon Wilk
    Academic press:
    Foundations of Computing and Decision Sciences (rok: 2017, tom: 42 (2), strony: 149-176), Wydawca: De Gruyter (elektroniczny open access) i Wydawnictwo PP (papierowa wersja)
    Status:
    Published
    DOI:
    10.1515/fcds-2017-0007 - link to the publication
  13. Ensemble learning for data stream analysis: a survey
    Authors:
    Bartosz Krawczyk, Leandro L. Minku, Joao Gama, Jerzy Stefanowski, Michał Woźniak
    Academic press:
    Information Fusion (rok: 2017, tom: 37, strony: 132-156), Wydawca: Elsevier
    Status:
    Published
    DOI:
    10.1016/j.inffus.2017.02.004 - link to the publication
  14. Types of Minority Class Examples and Their Influence on Learning Classifiers from Imbalanced Data
    Authors:
    Krystyna Napierała, Jerzy Stefanowski
    Academic press:
    Journal of Intelligent Information Systems (rok: 2016, tom: 46 (3), strony: 563-597), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10844-015-0368-1 - link to the publication
  15. Visualization support for the analysis of properties of interestingness measures
    Authors:
    Robert Susmaga, Izabela Szczęch
    Academic press:
    Bulletin of the Polish Academy of Sciences Technical Sciences (rok: 2015, tom: 63 (1), strony: 315--327), Wydawca: PAN
    Status:
    Published
    DOI:
    10.1515/bpasts-2015-0036 - link to the publication
  1. Ensemble Diversity in Evolving Data Streams
    Authors:
    Dariusz Brzezinski, Jerzy Stefanowski
    Conference:
    Proceedings of 19th International Conference, Discovery Science: DS 2016 (rok: 2016, ), Wydawca: Springer: Lecture Notes in Computer Science vol. 9956
    Data:
    konferencja 19-21 października
    Status:
    Published
  2. Prequential AUC for Classifier Evaluation and Drift Detection in Evolving Data Streams
    Authors:
    Dariusz Brzeziński, Jerzy Stefanowski
    Conference:
    Electronic proceedings of 3rd ECML PKDD International Workshop on New Frontiers in Mining Complex Patterns, Nancy, Francja (rok: 2014, ), Wydawca: bd
    Data:
    konferencja 15-19 wrzesnia 2014
    Status:
    Published
  3. Tetrahedron: Barycentric Measure Visualizer
    Authors:
    Dariusz Brzezinski, Jerzy Stefanowski, Robert Susmaga, Izabela Szczęch
    Conference:
    Machine Learning and Knowledge Discovery in Databases, European Conference, ECML PKDD 2017 Skopje (rok: 2017, ), Wydawca: Springer, Proceedings ECML PKDD 2017, part III, Springer LNAI vol. 10536,
    Data:
    konferencja 18–22 września
    Status:
    Published
  4. Actively Balanced Bagging for Imbalanced Data
    Authors:
    Jerzy Błaszczyński, Jerzy Stefanowski
    Conference:
    Proc. Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017 (rok: 2017, ), Wydawca: Springer LNCS vol. 10352
    Data:
    konferencja 26-29 czerwca
    Status:
    Published
  5. Evaluating Difficulty of Multi-class Imbalanced Data
    Authors:
    Mateusz Lango, Krystyna Napierała, Jerzy Stefanowski
    Conference:
    Proc. Foundations of Intelligent Systems - 23rd International Symposium, ISMIS 2017 (rok: 2017, ), Wydawca: Springer LNCS vol. 10352
    Data:
    konferencja 26-29 czerwca
    Status:
    Published
  6. On Properties of Under-sampling Bagging and its Extensions for Imbalanced Data
    Authors:
    Jerzy Stefanowski
    Conference:
    the 9th International Conference on Computer Recognition Systems CORES 2015, (rok: 2015, ), Wydawca: Springer Advances in Intelligent Systems and Computing - Postproceedings ukaze sie w 2016
    Data:
    konferencja 25-27 maja
    Status:
    Published
  7. Application of preprocessing methods to imbalanced clinical data: an experimental study
    Authors:
    Szymon Wilk, Jerzy Stefanowski, Szymon Wojciechowski, Ken J. Farion, Wojciech Michalowski
    Conference:
    Information Technologies in Biomedicine. 5th International Conference, ITIB 2016 (rok: 2016, ), Wydawca: Advances in Intelligent Systems and Computing 471, Springer
    Data:
    konferencja 20-22 czerwca
    Status:
    Published
  8. Discovering Minority Sub-clusters and Local Difficulty Factors from Imbalanced Data
    Authors:
    Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski
    Conference:
    20th International Conference Discovery Science, DS 2017 (rok: 2017, ), Wydawca: Springer, LNCS vol. 10558
    Data:
    konferencja 15-17 października
    Status:
    Published
  9. PUT at SemEval-2016 Task 4: The {ABC} of Twitter Sentiment Analysis.
    Authors:
    Mateusz Lango, Dariusz Brzezinski, Jerzy Stefanowski
    Conference:
    Proceedings of the 10th International Workshop on Semantic Evaluation, SemEval@NAACL-HLT 2016 (rok: 2016, ), Wydawca: Association for Computational Linguistics
    Data:
    konferencja 16-17 czerwca
    Status:
    Published
  10. Applicability of Roughly Balanced Bagging for Complex Imbalanced Data.
    Authors:
    Mateusz Lango, Jerzy Stefanowski
    Conference:
    Proc. of 4th Int. Workshop NFMCP in conjunction with ECML-PKDD 2015 Conference, Porto (rok: 2015, ), Wydawca: brak
    Data:
    konferencja 7-11 wrzesnia
    Status:
    Published
  11. Impact of Local Data Characteristics on Learning Rules from Imbalanced Data
    Authors:
    Jerzy Stefanowski
    Conference:
    Electronic Proceedings of 6th Rough Set Theory Workshop (RST'2015) in conjunction with PReMI 2015 conference (rok: 2015, ), Wydawca: brak
    Data:
    konferencja 29 czerwca 2015
    Status:
    Published
  12. A Data- and Expert-driven Decision Support Framework for Helping Patients Adhere to Therapy: Psychobehavioral Targets and Associated Interventions
    Authors:
    Szymon Wilk, Dympna O'Sullivan, Martin Michalowski, Silvia Bonaccio, Wojtek Michalowski, Mor Peleg, Marc Carrier
    Conference:
    Proceedings of the International Joint Workshop on Knowledge Representation for Health Care, Process-Oriented Information Systems in Health Care, Extraction and Processing of Rich Semantics from Medical Texts (KR4HC-ProHealth-RichMedSem 2017) (rok: 2017, ), Wydawca: Materialy towarzyszace międzynarod. konf. AIME
    Data:
    konferencja 24 czerwca
    Status:
    Published
  13. An Algorithm for Selective Preprocessing of Multi-class Imbalanced Data
    Authors:
    Szymon Wojciechowski, Szymon Wilk, Jerzy Stefanowski
    Conference:
    10th International Conference on Computer Recognition Systems CORES 2017 (rok: 2017, ), Wydawca: Springer
    Data:
    konferencja 22-24 maja
    Status:
    Published
  14. Diversity Analysis on Imbalanced Data Using Neighbourhood and Roughly Balanced Bagging Ensembles
    Authors:
    Jerzy Błaszczynski, Mateusz Lango
    Conference:
    Proceeding of the Int. Conference ICAISC 2016 (rok: 2016, ), Wydawca: Springer LNAI vol. 9692
    Data:
    konferencja 12-16 czerwca
    Status:
    Published
  15. Fusion of Clinical Data: A Case Study to Predict the Type of Treatment of Bone Fractures
    Authors:
    Anam Haq, Szymon Wilk
    Conference:
    New Trends in Databases and Information Systems -ADBIS2017. Short Papers and Workshops: BigNovelTI, DaS, SW4CH, AMSD (rok: 2017, ), Wydawca: Springer, Series Communications in Computer and Information Science, vol 767.
    Data:
    konferencja 24-27 września
    Status:
    Published
  1. Ensemble Classifiers for Imbalanced and Evolving Data Streams
    Authors:
    Dariusz Brzeziński, Jerzy Stefanowski
    Book:
    Mark Last, Abraham Kandel and Horst Bunke (eds): Data Mining in Time Series and Streaming Databases; (World Scientific) Series in Machine Perception and Artificial Intelligence (rok: 2018, tom: b.d., strony: 44-68), Wydawca: World Scientific
    Status:
    Published
  2. Dealing with Data Difficulty Factors while Learning from Imbalanced Data
    Authors:
    Jerzy Stefanowski
    Book:
    Challenges in Statistics and Data Mining (rok: 2016, tom: 605, strony: 333-363), Wydawca: Studies in Computational Intelligence Series, Springer
    Status:
    Published
  3. Final Remarks on Big Data Analysis and Its Impact on Society and Science
    Authors:
    Jerzy Stefanowski, Nathalie Japkowicz
    Book:
    Big Data Analysis: New Algorithms for a New Society (rok: 2016, tom: St Big Data 16, strony: 305-329), Wydawca: Springer
    Status:
    Published
  4. Bayesian Confirmation Measures in Rule-based Classification
    Authors:
    Dariusz Brzezinski, Zbigniew Grudziński, Izabela Szczęch
    Book:
    Annalisa Appice et al. (eds) New Frontiers in Mining Complex Patterns. Revised selected papers from the Fifth International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016 (rok: 2017, tom: LNAI 10312, strony: 39-53), Wydawca: Springer
    Status:
    Published
  5. Local Data Characteristics in Learning Classifiers from Imbalanced Data
    Authors:
    Jerzy Błaszczyński, Jerzy Stefanowski
    Book:
    Adam Gaweda , Janusz Kacprzyk, Leszek Rutkowski i Gary G. Yen (red.): Advances in Data Analysis with Computational Intelligence Methods. Studies in Computational Intelligence Series. (rok: 2018, tom: vol. 738, strony: 51-85), Wydawca: Springer
    Status:
    Published
  6. The Usefulness of Roughly Balanced Bagging for Complex and High-dimensional Imbalanced Data
    Authors:
    Mateusz Lango, Jerzy Stefanowski
    Book:
    M. Ceci et al. (eds): New Frontiers in Mining Complex Patterns. Revised Selected Papers from 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015 (rok: 2016, tom: LNAI 9607, strony: 93-107), Wydawca: Springer
    Status:
    Published
  7. Adaptive Ensembles for Evolving Data Streams--Combining Block-Based and Online Solutions
    Authors:
    Jerzy Stefanowski
    Book:
    M. Ceci et al. (eds): New Frontiers in Mining Complex Patterns. Revised Selected Papers from 4th International Workshop, NFMCP 2015, Held in Conjunction with ECML-PKDD 2015 (rok: 2016, tom: LNAI 9607, strony: 3–16), Wydawca: Springer
    Status:
    Published
  8. Increasing the Interpretability of Rules Induced from Imbalanced Data by Using Bayesian Confirmation Measures
    Authors:
    Krystyna Napierała, Jerzy Stefanowski, Izabela Szczęch
    Book:
    Annalisa Appice et al. (eds) New Frontiers in Mining Complex Patterns. Revised selected papers from the Fifth International Workshop, NFMCP 2016, Held in Conjunction with ECML-PKDD 2016 (rok: 2017, tom: LNAI 10312, strony: 84-98), Wydawca: Springer
    Status:
    Published
  9. Prequential AUC for Classifier Evaluation and Drift Detection in Evolving Data Streams
    Authors:
    Dariusz Brzeziński, Jerzy Stefanowski
    Book:
    Annalisa Appice et al. (eds) New Frontiers in Mining Complex Patterns. (rok: 2015, tom: 8983, strony: 87–101), Wydawca: Springer , Lecture Notes in Computer Science
    Status:
    Published

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