Results 21 to 30 of about 63,468 (158)
Building an Associative Classifier Based on Fuzzy Association Rules [PDF]
Classification based on association rules is considered to be effective and advantageous in many cases. However, there is a so-called "sharp boundary" problem in association rules mining with quantitative attribute domains.
Zuoliang Chen, Guoqing Chen
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Research on Key Factors Affecting Power Supply and Demand Trend Based on Complex Correlation [PDF]
The market behaviors of the supply and demand sides in the power market are the issues that market participants, operators and regulators are most concerned about. This article starts from the two dimensions of power generation market behavior and demand
Liu Dunnan +6 more
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Objective It is increasingly common to find patients affected by a combination of type 2 diabetes mellitus (T2DM), dyslipidemia (DLP) and periodontitis (PD), which are chronic inflammatory diseases.
Rosana Veroneze +9 more
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Frequent contiguous pattern mining over biological sequences of protein misfolded diseases
Background Proteins are integral part of all living beings, which are building blocks of many amino acids. To be functionally active, amino acids chain folds up in a complex way to give each protein a unique 3D shape, where a minor error may cause ...
Mohammad Shahedul Islam +5 more
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Cluster-Based Membership Function Acquisition Approaches for Mining Fuzzy Temporal Association Rules
In real-world applications, transactions are typically represented by quantitative data. Thus, fuzzy association rule mining algorithms have been proposed to handle these quantitative transactions.
Chun-Hao Chen +3 more
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Analysis of Measures of Quantitative Association Rules [PDF]
Junta de Andalucía P07-TIC ...
María Martínez-Ballesteros +1 more
openaire +3 more sources
It is often assumed that healthy people have the genuine ability to maintain tight blood glucose regulation. However, a few recent studies revealed that glucose dysregulation such as hyperglycemia may occur even in people who are considered normoglycemic
Zilu Liang, Zilu Liang
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The use of quantitative association rules in cellular network planning
This paper describes the problem of planning cellular network base stations with optimization to traffic requirements. This research problem was a main incentive to add some development to the theory of association rules.
Michał Okoniewski
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Integrating Data Mining Techniques for Naïve Bayes Classification: Applications to Medical Datasets
In this study, we designed a framework in which three techniques—classification tree, association rules analysis (ASA), and the naïve Bayes classifier—were combined to improve the performance of the latter.
Pannapa Changpetch +3 more
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Discovery of Scalable Association Rules from Large Set of Multidimensional Quantitative Datasets
In proposed approach, we introduce the problem of mining association rules in large relational tables containing both quantitative and categorical attributes.
Tamanna Siddiqui +2 more
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