MMeMeR: An Algorithm for Clustering Heterogeneous Data Using Rough Set Theory

International Journal of Intelligent Systems and Applications - China
doi 10.5815/ijisa.2017.08.03
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MECS Publisher

Related search

Rough Set Theory: A Data Mining Tool for Semiconductor Manufacturing

IEEE Transactions on Electronics Packaging Manufacturing
2001English

Rough Set Theory in Discretization Method Based on Genetic Algorithm

2015English

Oppositions in Rough Set Theory

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2012English

Rough Set Theory for Intelligent Industrial Applications

1999English

Study on Software Process Metrics Using Data Mining Tool -A Rough Set Theory Approach

International Journal of Computer Applications
2012English

An Algorithm for Market Intelligence Data Collection From Heterogeneous Sources With Similarity-Based Selection Clustering Technique Using Knowledge Maps

2005English

Evidence Identification in Heterogeneous Data Using Clustering

2018English

Fuzzy-Rough Set Bireducts for Data Reduction

IEEE Transactions on Fuzzy Systems
ControlSystems EngineeringApplied MathematicsMathematicsComputational TheoryArtificial Intelligence
2019English

Multispectral Image Segmentation Using the Rough-Set-Initialized EM Algorithm

IEEE Transactions on Geoscience and Remote Sensing
EarthPlanetary SciencesElectricalElectronic Engineering
2002English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy