Projects funded by the NCN


Information on the principal investigator and host institution

Information of the project and the call

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Mining Data Streams with Concept Drift

2011/03/N/ST6/00360

Keywords:

data mining classification algorithms data streams

Descriptors:

  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
  • ST6_6: Algorithms, parallel, distributed and network algorithms, algorithmic game theory

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):

Dariusz Brzeziński 

Number of co-investigators in the project: 2

Call: PRELUDIUM 2 - announced on 2011-09-15

Amount awarded: 83 200 PLN

Project start date (Y-m-d): 2012-09-05

Project end date (Y-m-d): 2014-09-04

Project duration:: 24 months (the same as in the proposal)

Project status: Project settled

Information in the final report

  • Publication in academic press/journals (3)
  • Articles in post-conference publications (3)
  1. Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
    Authors:
    Dariusz Brzeziński, Jerzy Stefanowski
    Academic press:
    IEEE Transactions on Neural Networks and Learning Systems (rok: 2014, tom: 25, strony: 81-94), Wydawca: IEEE
    Status:
    Published
    DOI:
    10.1109/TNNLS.2013.2251352 - link to the publication
  2. 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, strony: 45301), Wydawca: ACM
    Status:
    Published
    DOI:
    10.1145/2674026.2674028 - link to the publication
  3. Combining block-based and online methods in learning ensembles from concept drifting data streams
    Authors:
    Dariusz Brzeziński, Jerzy Stefanowski
    Academic press:
    Information Sciences (rok: 2014, tom: 265, strony: 50-67), Wydawca: Elsevier
    Status:
    Accepted for publication
    DOI:
    10.1016/j.ins.2013.12.011 - link to the publication
  1. From Block-based Ensembles to Online Learners In Changing Data Streams: If- and How-To
    Authors:
    Dariusz Brzeziński, Jerzy Stefanowski
    Conference:
    ECML PKDD 2012 Workshop on Instant Interactive Data Mining (rok: 2012, ), Wydawca: nie dotyczy
    Data:
    konferencja 24.09.2012
    Status:
    Published
  2. Adaptive XML Stream Classification using Partial Tree-edit Distance
    Authors:
    Dariusz Brzeziński, Maciej Piernik
    Conference:
    21st International Symposium on Methodologies for Intelligent Systems, ISMIS 2014 (rok: 2014, ), Wydawca: Springer
    Data:
    konferencja 25-27.06.2014
    Status:
    Published
  3. Classifiers for Concept-drifting Data Streams: Evaluating Things That Really Matter
    Authors:
    Dariusz Brzeziński, Jerzy Stefanowski
    Conference:
    ECML PKDD 2013 Workshop on Real-World Challenges for Data Stream Mining (rok: 2013, ), Wydawca: Otto-von-Guericke University Magdeburg
    Data:
    konferencja 27.09.2013
    Status:
    Published