J
Jerzy Stefanowski
Researcher at Poznań University of Technology
Publications - 145
Citations - 7572
Jerzy Stefanowski is an academic researcher from Poznań University of Technology. The author has contributed to research in topics: Rough set & Decision rule. The author has an hindex of 40, co-authored 139 publications receiving 6475 citations.
Papers
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Journal ArticleDOI
Ensemble learning for data stream analysis
TL;DR: This paper surveys research on ensembles for data stream classification as well as regression tasks and discusses advanced learning concepts such as imbalanced data streams, novelty detection, active and semi-supervised learning, complex data representations and structured outputs.
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Smote-ipf
TL;DR: This paper proposes the extension of SMOTE through a new element, an iterative ensemble-based noise filter called Iterative-Partitioning Filter (IPF), which can overcome the problems produced by noisy and borderline examples in imbalanced datasets.
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Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
TL;DR: A new data stream classifier, called the Accuracy Updated Ensemble (AUE2), which aims at reacting equally well to different types of drift, and combines accuracy-based weighting mechanisms known from block-based ensembles with the incremental nature of Hoeffding Trees.
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Incomplete Information Tables and Rough Classification
TL;DR: This paper introduces two generalisations of the rough sets theory that introduce the use of a non symmetric similarity relation in order to formalise the idea of absent value semantics and shows that for the valued tolerance approach it is possible to obtain more informative approximations and decision rules.
Book ChapterDOI
Lingo: Search Results Clustering Algorithm Based on Singular Value Decomposition
TL;DR: This paper presents Lingo—a novel algorithm for clustering search results, which emphasizes cluster description quality, and describes methods used in the algorithm: algebraic transformations of the term-document matrix and frequent phrase extraction using suffix arrays.