Results 51 to 60 of about 63,468 (158)
Obtaining optimal quality measures for quantitative association rules [PDF]
Universidad Pablo de Olavide ...
María Martínez-Ballesteros +3 more
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Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation
High-utility sequential pattern mining (HUSPM) helps researchers find all subsequences that have high utility in a quantitative sequential database. The HUSPM approach appears to be well suited for resource transformation in DIKWP graphs.
Kai Cao, Yucong Duan
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Analyzing microarray data using quantitative association rules [PDF]
Abstract Motivation: We tackle the problem of finding regularities in microarray data. Various data mining tools, such as clustering, classification, Bayesian networks and association rules, have been applied so far to gain insight into gene-expression data.
Georgii, E. +3 more
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QuantMiner for Mining Quantitative Association Rules
In this paper, we propose QUANTMINER, a mining quantitative association rules system. This system is based on a genetic algorithm that dynamically discovers "good" intervals in association rules by optimizing both the support and the confidence. The experiments on real and artificial databases have shown the usefulness of QUANTMINER as an interactive ...
Salleb-Aouissi, Ansaf +5 more
openaire +2 more sources
Research on Traditional Chinese Medicine: Domain Knowledge Graph Completion and Quality Evaluation
BackgroundKnowledge graphs (KGs) can integrate domain knowledge into a traditional Chinese medicine (TCM) intelligent syndrome differentiation model. However, the quality of current KGs in the TCM domain varies greatly, related to
Chang Liu +7 more
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Comprehensive Income and Stock Price: The Case of tfihe Energy Industry
Financial results are the main source of information for investors on the stock market. The International Accounting Standards Board has been changing the basic rules regarding a shift from net income to comprehensive income as the main picture of the ...
Przemysław Poniatowski
doaj
Strengths and Weaknesses of the Current Strategies to Map and Characterize R-Loops
R-loops are evolutionarily conserved three-stranded structures that result from the formation of stable DNA:RNA hybrids in the genome. R-loops have attracted increasing interest in recent years as potent regulators of gene expression and genome stability.
Vincent Vanoosthuyse
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A Formal Fuzzy Concept-Based Approach for Association Rule Discovery with Optimized Time and Storage
Association Rule Mining (ARM) relies on concept lattices as an effective knowledge representation structure. However, classical ARM methods face significant limitations, including the generation of misleading rules during data-to-formal-context mapping ...
Gamal F. Elhady +4 more
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Databases and data warehouses have become a vital part of many organizations. So useful information and helpful knowledge have to be mined from transactions.
C. Balasubramanian +2 more
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Utilization of Data Mining Techniques in SIMPUS towards Smart Library at IAIN Kendari [PDF]
The use of data mining techniques in the Library Management Information System (SIMPUS) has great potential to support the transformation of conventional libraries into Smart Libraries. This study aims to analyze the application of data mining techniques
Samrin +4 more
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