Who Cited It

A survey on concept drift adaptation

2014 · ACM Computing Surveys · 3,563 citations · 1 from inside this corpus

João Gama, Indrė Žliobaitė, Albert Bifet, Mykola Pechenizkiy, Abdelhamid Bouchachia

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

A survey on concept drift adaptation (2014)A survey on concept drift ada…The perceptron: A probabilistic model for information storage and organization in the bra… (1958)The perceptron: A probabilist…Anomaly detection (2009)Anomaly detectionStatistical Comparisons of Classifiers over Multiple Data Sets (2006)Statistical Comparisons of Cl…Classification And Regression Trees (2017)Classification And Regression…Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…Catastrophic forgetting in connectionist networks (1999)Catastrophic forgetting in co…The Weighted Majority Algorithm (1994)The Weighted Majority Algorit…Random sampling with a reservoir (1985)Random sampling with a reserv…Mining time-changing data streams (2001)Mining time-changing data str…Learning from Time-Changing Data with Adaptive Windowing (2007)Learning from Time-Changing D…Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive reso… (1991)Fuzzy ART: Fast stable learni…Learning with Drift Detection (2004)Learning with Drift DetectionLearning in the Presence of Concept Drift and Hidden Contexts (1996)Learning in the Presence of C…Novelty detection: a review—part 1: statistical approaches (2003)Novelty detection: a review—p…Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm (1988)Learning Quickly When Irrelev…Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications (2021)Explaining Deep Neural Networ…
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What this paper cites, inside the corpus

PaperYearCited
The perceptron: A probabilistic model for information storage and organization in the bra…195811,965
Anomaly detection200911,511
Statistical Comparisons of Classifiers over Multiple Data Sets200611,215
Classification And Regression Trees20176,721
Prediction, Learning, and Games20063,279
Catastrophic forgetting in connectionist networks19992,358
The Weighted Majority Algorithm19942,034
Random sampling with a reservoir19851,781
Mining time-changing data streams20011,759
Learning from Time-Changing Data with Adaptive Windowing20071,754
Fuzzy ART: Fast stable learning and categorization of analog patterns by an adaptive reso…19911,674
Learning with Drift Detection20041,531
Learning in the Presence of Concept Drift and Hidden Contexts19961,445
Novelty detection: a review—part 1: statistical approaches20031,431
Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm19881,382

What cites it, inside the corpus

PaperYearCited
Explaining Deep Neural Networks and Beyond: A Review of Methods and Applications20211,424

Links

DOI · Open access copy · OpenAlex record

Topics

Data Stream Mining TechniquesComputer Science
Spam and Phishing DetectionComputer Science
Innovative Microfluidic and Catalytic Techniques InnovationEngineering

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

  • supports5 author record(s) attached.
  • supports172 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:46+00:00.

sha256 bba2969b3567609a…