Results 91 to 100 of about 26,646,267 (236)

A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning

IEEE Access
In the realm of machine learning models, the pursuit of achieving favorable metrics is undeniably significant. However, these models confront phenomena that can diminish their effectiveness if left unaddressed-notably, the phenomenon of concept drift ...
Emanuel Valerio Pereira, Wendley Souza da Silva   +1 more
doaj   +1 more source

Enhanced Intrusion Detection with Data Stream Classification and Concept Drift Guided by the Incremental Learning Genetic Programming Combiner. [PDF]

Sensors (Basel), 2023
Shyaa MA, Zainol Z, Abdullah R, Anbar M, Alzubaidi L, Santamaría J.   +5 more
europepmc   +1 more source

Data Stream Processing for Packet-Level Analytics. [PDF]

Sensors (Basel), 2021
Fais A, Lettieri G, Procissi G, Giordano S, Oppedisano F.   +4 more
europepmc   +1 more source

Stream Reasoning in Temporal Datalog

, 2018
In recent years, there has been an increasing interest in extending traditional stream processing engines with logical, rule-based, reasoning capabilities. This poses significant theoretical and practical challenges since rules can derive new information
Grau, Bernardo Cuenca, Horrocks, Ian, Kaminski, Mark, Motik, Boris, Ronca, Alessandro   +4 more
core   +1 more source

Similarity-Based Adaptive Window for Improving Classification of Epileptic Seizures with Imbalance EEG Data Stream. [PDF]

Entropy (Basel), 2022
Fatlawi HK, Kiss A.
europepmc   +1 more source

Two Procedures for Robust Monitoring of Probability Distributions of Economic Data Streams induced by Depth Functions

, 2015
Data streams (streaming data) consist of transiently observed, evolving in time, multidimensional data sequences that challenge our computational and/or inferential capabilities.
Kosiorowski, Daniel
core   +1 more source

An Elastic Self-Adjusting Technique for Rare-Class Synthetic Oversampling Based on Cluster Distortion Minimization in Data Stream. [PDF]

Sensors (Basel), 2023
Fatlawi HK, Kiss A.
europepmc   +1 more source

An improved data stream summary: the count-min sketch and its applications

J. Algorithms, 2004
Graham Cormode, S. Muthukrishnan
semanticscholar   +1 more source

Adversarial concept drift detection under poisoning attacks for robust data stream mining. [PDF]

Mach Learn, 2022
Korycki Ł, Krawczyk B.
europepmc   +1 more source

Models and issues in data stream systems

ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2002
Brian Babcock, S. Babu, Mayur Datar, R. Motwani, J. Widom   +4 more
semanticscholar   +1 more source