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10 results for “apriori algorithm”
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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 titleIntelligent Apriori Algorithm for Complex Activity Mining in Supermarket ApplicationsV. Ganesh Kumar, K. MuneeswaranAs shopping becomes a shared experience and joint process with friends or family members nowadays, the most important problems arise with variety of products and the product information available in the supermarkets. This study proposes a system that uses Intelligent Apriori algorithm to support consumers in getting the required items from various supermarkets. Also this work intelligently suggests the best … …Journal of Computer Science, Vol. 9, Issue 4 · 9 May 2013 · 6,362 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMining 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 keywordsApriori-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 keywordsA Data Mining Technique to Find Optimal Customers for Beneficial Customer Relationship ManagementG. Babu, T. BhuvaneswariProblem statement: Modern companies and organizations are efficiently implementing a CRM strategy for managing a company interactions and relationships with customers. CRM systems have been developed and designed to support the areas of marketing, service process and sales. Many literature studies are available to preserve the customer relationship but small drawbacks occur in the existing methods. One method to maintain … …Journal of Computer Science, Vol. 8, Issue 1 · 1 Nov 2011 · 7,260 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFast Algorithms for Discovering Sequential Patterns in Massive DatasetsS. Dharani, Justus Rabi, Nanda Kumar, DarlyProblem statement: Sequential pattern mining is one of the specific data mining tasks, particularly from retail data. The task is to discover all sequential patterns with a user-specified minimum support, where support of a pattern is the number of data-sequences that contain the pattern. Approach: To find a sequence patterns variety of algorithm like AprioriAll and Generalized Sequential Patterns (GSP) … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,280 accessesView PDFCite
Research ArticleOpen accessIn the abstractHighly-Available, Collaborative, Trainable Communication – a Policy – Neutral ApproachChristian Schreibaumer, Isabella Stein, Eberhard DobermannScalable theory have led to many advances. Data flow is constantly growing and systems are expanding. Theoretical principles of red-black trees can help to build a scalable system, where data easily can expand and in the end energy is saved. We propose a novel solution, an organizational platform, an algorithm for the analysis of agents, which we call Mop. With … …Journal of Computer Science, Vol. 14, Issue 6 · 5 Apr 2018 · 9,771 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombined Pattern Mining for D3M Using FuzzyS. S. Dhenakaran, S. MaheswariMany algorithms and models were developed but the findings are not actionable and lack of soft power while solving the complex problems. Domain Driven Data mining is used a major efforts to promote the action ability of the knowledge discovery in the real world smart decision making. Combined mining is one of the common methods for analyzing complex data for … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 1 Nov 2013 · 6,750 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch 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 abstractThree Dimensional Multidirectional Geographical IP Traceback: Direction Ratio Sampling AlgorithmA. Rajiv Kannan, K. Duraiswamy, K. SangeethaProblem statement: An important and challenging problem is that of tracing DOS/DDOS attack source. IP traceback is the process of identifying the actual source(s) of attack packets, So that the attackers can be held accountable as also in mitigating them, either by isolating the attack sources or by filtering packets for away from the victim. Several IP traceback schemes have … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,233 accessesView PDFCite