This approach lets the user to analyse and traverse Web software relevant to a particular concern (concept, goal, purpose, etc.) via multi-dimensional.
Multi-Dimensional Concerns Mining for Web Applications via Concept-Analysis. Conference Paper. Full-text available. Jan 2005.
Multi-Dimensional Concerns Mining for Web Applications via Concept-Analysis. Separating and Representing Navigation Concerns in Web Applications. Citing ...
May 30, 2024 · Making sense of cloud-sensor data streams via Fuzzy Cognitive Maps and Temporal Fuzzy Concept Analysis Neurocomputing 2017 256 35-48. Digital ...
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... analyze software designed via feature concerns approach, based on Multi-Dimensional Separation of Concerns. (MDSOC). This suite lets us analyze existing ...
We study the issues on stream data mining and develop effective, efficient and scalable methods for mining the dynamics of data streams in multi-dimensional ...
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Mar 17, 2023 · The paper provides an in-depth analysis of benchmarked datasets, widely-used feature sets, algorithms, techniques, open-source tools, challenges ...
Typical techniques are linear and nonlinear analysis, regression analysis, univariate, multi- variate and time series analysis. With statistical tools we.
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Oct 1, 2021 · This study addresses these concerns by putting forward a generic stepwise multidimensional data mining framework tailored to building data.
Jan 8, 2013 · • A Brief History of Data Mining and Data Mining Society. • Summary. 18. Page 19. Multi-Dimensional View of Data Mining. • Data to be mined.
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