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44 articles for “Association Rule”
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Research ArticleOpen accessPhrase in the titleAssociation Rule Analysis of Qualitative Contribution Evaluation of Faculty Using Distributed Mining with Apriori AlgorithmMylene Bello Ragobrio, Rhoderick D. Malangsa, Rujube Hinoguin-HermanoTeacher evaluation, where students serve as evaluators, is common in Philippine educational institutions. Student input based on teacher performance is considered crucial for fostering faculty development and professional advancement. The government implemented National Budget Circular (NBC) No. 461 which standardizes promotion procedures, encouraging equity and uniformity in faculty promotions among State Universities and Colleges (SUCs). Financial assistance comes from the … …Journal of Computer Science, Vol. 21, Issue 11 · 27 Jan 2026 · 1,590 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Interval Type-2 Fuzzy Association Rule Mining Approach to Pattern Discovery in Breast Cancer DatasetOlufunke Oladipupo, Oluwole Olajide, Stephen Adubi et al.In the literature, several methods explored to analyze breast cancer dataset have failed to sufficiently handle quantitative attribute sharp boundary problem to resolve inter and intra uncertainties in breast cancer dataset analysis. In this study an Interval Type-2 fuzzy association rule mining approach is proposed for pattern discovery in breast cancer dataset. In the first part of this analysis, the … …Journal of Computer Science, Vol. 17, Issue 3 · 6 Apr 2021 · 7,164 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleIdentification of Cancer: Mesothelioma’s Disease Using Logistic Regression and Association RuleAvishek ChoudhuryMalignant Pleural Mesothelioma (MPM) or malignant mesothelioma (MM) is an atypical, aggressive tumor that matures into cancer in the pleura, a stratum of tissue bordering the lungs. Diagnosis of MPM is difficult and it accounts for about seventy-five percent of all mesothelioma diagnosed yearly in the United States of America. Being a fatal disease, early identification of MPM is crucial … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 4 · 7 Dec 2018 · 7,224 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA User-Driven Association Rule Mining Based on Templates for Multi-Relational DataCarlos Roberto Valêncio, Guilherme Henrique Morais, Márcio Zamboti Fortes et al.Data mining algorithms to find association rules are an important tool to extract knowledge from databases. However, these algorithms produce an enormous amount of rules, many of which could be redundant or irrelevant for a specific decision-making process. Also, the use of previous knowledge and hypothesis are not considered by these algorithms. On the other hand, most existing data mining … …Journal of Computer Science, Vol. 14, Issue 11 · 8 Nov 2018 · 7,442 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleFuzzy Association Rule MiningA. Lekha, C. V. Srikrishna, Viji VinodThe paper attempts to propose a fuzzy logic association algorithm to predict the risks involved in identifying diseases like breast cancer. Fuzzy logic algorithm is used to find association rules. The results of the study revealed that the prediction is better reliable than conventional methods. …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,473 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleContent Based Medical Image Retrieval using Binary Association RulesAkila, Uma MaheswariIn this study, we propose a content-based medical image retrieval framework based on binary association rules to augment the results of medical image diagnosis, for supporting clinical decision making. Specifically, this work is employed on scanned Magnetic Resonance brain Images (MRI) and the proposed Content Based Image Retrieval (CBIR) process is for enhancing relevancy rate of retrieved images. The pertinent … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,548 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHybrid Algorithm for Privacy Preserving Association Rule MiningIla Chandrakar, Yelipe Usha Rani, Mortha Manasa, Kondabala RenukaProblem statement: The objective of the hybrid algorithm for privacy preserving data mining is to hide certain sensitive information so that they cannot be discovered through association rule mining techniques. Approach: The sensitive items whether in Left Hand Side (LHS) or Right Hand Side (RHS) of the rule cannot be inferred through association rule mining algorithms by combining the concept … …Journal of Computer Science, Vol. 6, Issue 12 · 22 Nov 2010 · 7,334 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleExploring Spatial ARM (Spatial Association Rule Mining) for Geo-Decision Support SystemRanjana Vyas, Lokesh Kumar Sharma, U. S. TiwaryGeographical Decision Support System (Geo-DSS) is a demanding field, since enormous amount of spatial data have been collected in various applications, ranging form Remote Sensing to GIS, Computer Cartography, Environmental Assessment and Planning. Although some efforts were made to combine spatial mining with Spatial Decision Support System but mostly researchers for spatial database are using a popular data mining approach-Apriori … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 6,956 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMulti-objective Genetic Algorithm for Association Rule Mining Using a Homogeneous Dedicated Cluster of WorkstationsS. Dehuri, A. K. Jagadev, A. Ghosh, R. MallThis study presents a fast and scalable multi-objective association rule mining technique using genetic algorithm from large database. The objective functions such as confidence factor, comprehensibility and interestingness can be thought of as different objectives of our association rule-mining problem and is treated as the basic input to the genetic algorithm. The outcomes of our algorithm are the set of … …American Journal of Applied Sciences, Vol. 3, Issue 11 · 30 Nov 2006 · 7,519 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMining Level-Crossing Association Rules from Large DatabasesR. S. Thakur, R. C. Jain, K. R. PardasaniExisting algorithms for mining association rule at multiple concept level, restricted mining strong association among the concept at same level of a hierarchy. However mining level-crossing association rule at multiple concept level may lead to the discovery of mining strong association among at different level of hierarchy. In this study, a top-down progressive deepening method is developed for mining level-crossing … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,312 accessesView PDFCite