Results 11 to 20 of about 3,253,900 (166)
Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +5 more
core +5 more sources
Web Usage Mining with Evolutionary Extraction of Temporal Fuzzy Association Rules [PDF]
In Web usage mining, fuzzy association rules that have a temporal property can provide useful knowledge about when associations occur. However, there is a problem with traditional temporal fuzzy association rule mining algorithms. Some rules occur at the
Gongora, Mario A. +5 more
core +1 more source
Evolving temporal fuzzy itemsets from quantitative data with a multi-objective evolutionary algorithm [PDF]
We present a novel method for mining itemsets that are both quantitative and temporal, for association rule mining, using multi-objective evolutionary search and optimisation.
Gongora, Mario A. +9 more
core +1 more source
Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
core +1 more source
An Investigation in Efficient Spatial Patterns Mining [PDF]
The technical progress in computerized spatial data acquisition and storage results in the growth of vast spatial databases. Faced with large amounts of increasing spatial data, a terminal user has more difficulty in understanding them without the ...
Wang, Lizhen
core +4 more sources
Evolving temporal association rules with genetic algorithms [PDF]
A novel framework for mining temporal association rules by discovering itemsets with a genetic algorithm is introduced. Metaheuristics have been applied to association rule mining, we show the efficacy of extending this to another variant - temporal ...
Gongora, Mario A. +6 more
core +1 more source
Abstract In the Lake Koocanusa‐Kootenai River system (Montana, USA and British Columbia, Canada), selenium (Se) contamination has become an international concern and is suspected to contribute to the observed burbot (Lota lota) population collapse. Due to our limited ability to sample burbot in Lake Koocanusa for monitoring studies, we used a reference
Stephanie D. Graves +6 more
wiley +1 more source
Evolving Fuzzy Rule-based Classifiers from Data Streams [PDF]
A new approach to the online classification of streaming data is introduced in this paper. It is based on a self-developing (evolving) fuzzy-rule-based (FRB) classifier system of Takagi-Sugeno ( eTS) type.
Angelov, Plamen, Zhou, Xiaowei
core +4 more sources
Mining Spatio-temporal Data at Different Levels of Detail [PDF]
Presented at the 11th AGILE International Conference on Geographic Information Science (AGILE 2008), Girona, Spain, 5-8 May 2008In this paper we propose a methodology for mining very large spatio-temporal datasets.
Elena Camossi +5 more
core +1 more source
Actionable high-coherent-utility fuzzy itemset mining
Many fuzzy data mining approaches have been proposed for finding fuzzy association rules with the predefined minimum support from quantitative transaction databases.
Chen, C. H.;Li, A. F.;Lee, Y. C. +1 more
core +1 more source

