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33 results for “Association Rules”
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Research ArticleOpen accessIn the keywordsMining of Datasets with an Enhanced Apriori AlgorithmS. Nandagopal, V. P. Arunachalam, S. KarthikProblem statement: Classical association rules are mostly mining intra-transaction associations i.e., associations among items within the same transaction where the idea behind the transaction could be the items bought by the same customer on the same day. The goal of inter-transaction association rules is to represent the associations between various events found in different transactions. Approach: In this study, we … …Journal of Computer Science, Vol. 8, Issue 4 · 14 Feb 2012 · 6,956 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModel for Load Balancing On Processors in Parallel Mining of Frequent ItemsetsRavindra Patel, S. S. Rana, K. R. PardasaniThe existence of many large transactions distributed databases with high data schemas, the centralized approach for mining association rules in such databases will not be feasible. Some distributed algorithms have been developed [FDM, CD], but none of them have considered the problem of data skews in distributed mining of association rules. The skewness of datasets reduces the workload balancing between … …American Journal of Applied Sciences, Vol. 2, Issue 5 · 31 May 2005 · 7,341 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Reformed K-Nearest Neighbors Algorithm for Big Data SetsVo Ngoc Phu, Vo Thi Ngoc TranA Data Mining Has Already Had Many Algorithms Which A K-Nearest Neighbors Algorithm, K-NN, Is A Famous Algorithm For Researchers. K-NN Is Very Effective On Small Data Sets, However It Takes A Lot Of Time To Run On Big Datasets. Today, Data Sets Often Have Millions Of Data Records, Hence, It Is Difficult To Implement K-NN On Big Data. In … …Journal of Computer Science, Vol. 14, Issue 9 · 8 Mar 2018 · 7,473 accessesView PDFCite
Research ArticleOpen accessIn the keywordsResearch Proposal: An Intrusion Detection System Alert Reduction and Assessment Framework Based on Data MiningKarim Al-Saedi, Selvakumar Manickam, Sureswaran Ramadass et al.The Intrusion Detection System (IDS) generates huge amounts of alerts that are mostly false positives. The abundance of false positive alerts makes it difficult for the security analyst to identify successful attacks and to take remedial actions. Such alerts to have not been classified in accordance with their degree of threats. They further need to be processed to ascertain the … …Journal of Computer Science, Vol. 9, Issue 4 · 8 May 2013 · 7,709 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWireless Sensor Networks Fault Identification Using Data AssociationT. Abirami Kongu, P. Thangaraj, P. Priakanth KonguProblem statement: Wireless Sensor Networks (WSN) are formed by thousands of lightweight nodes equipped with transducers for capturing information. The captured data are transmitted using multi hop routes to a base station, also called a sink. They can be extensively deployed during emergency response, medical monitoring and missiion critical applications requiring extensive data capture from sensors.Wireless sensor network applications include … …Journal of Computer Science, Vol. 8, Issue 9 · 11 Aug 2012 · 6,942 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalysis of Rule Generation Techniques using Computational MethodG. Maragatham, M. LakshmiProblem statement: Enhanced decision making seeks a right of way mainly in business sectors for mining profitable patterns in databases. To address this problem, the authors have incorporated the temporal and utility concept of mining effective rules. Though the objective of generating profitable rule set is achieved. Still in effective decision making, Optimization of the rule set is required. Therefore … …Journal of Computer Science, Vol. 8, Issue 7 · 9 May 2012 · 6,624 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssociation 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 accessIn the abstractApriori-Based Analysis of Website PhishingRene Clint Gortifacion, Rhoderick Malangsa, Adelfa Diola, Tamar Mejia JuniorPhishing attacks put users' sensitive information at serious risk and are a rising concern in cybersecurity. In order to minimize the possible damage brought on by these assaults, it is essential to detect and categorize phishing websites correctly. In this study, we provide an Apriori-based analysis method for identifying and categorizing website phishing. The Apriori algorithm, which is frequently used … …Journal of Computer Science, Vol. 21, Issue 5 · 7 May 2025 · 5,040 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn 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 accessIn the abstractImproving Question Answering System based on a Hybrid TechniqueAyatallah Gamal Abass, Sameh Abd El-Ghany, Ahmed Abo ElfetohQuestion Answering (QA) is a specialized form of information retrieval characterized by information needs that are expressed as natural language statements or questions. Query expansion is an approach which is used to extend question key words with new related words that are not included in question. In this study, anew association rule based question processing model is introduced. This model … …Journal of Computer Science, Vol. 14, Issue 9 · 15 Aug 2018 · 7,979 accessesView PDFCite