44 results for “Association Rule”

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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 PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 999 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIn Vitro and in Silico Evaluation of Bioactive Compounds from Usnea longissima Ach. as Antimicrobial AgentsOky Kusuma Atni, Erman Munir, Nursahara Pasaribu et al.Lichens, formed from symbiotic association between of fungi with phototrophic organisms, generate a variety of bioactive chemicals having medicinal potential. This research aimed to examine the antibacterial characteristics of Usnea longissima Ach. using both in vitro and in silico methodologies. The effectiveness of lichen methanol extracts against different diseases was evaluated using the disc diffusion technique. Pathogens included gram-positive, gram-negative, … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 10 Feb 2026 · 1,721 accessesView PDF Cite

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 PDF Cite

Research ArticleOpen accessIn the abstractUsing Linear Chouquet Integral Algorithm to Design Optimal Time-Cost Model in Large Construction ProjectsHamid Jafari Nia, Kaveh Ostad-Ali-Askari, Hamidreza BabaaliNowadays, the problem of scheduling and executing projects with the least cost and time has become one of the main concerns of project managers. In this regard, researchers have used different methods and patterns. One of these methods is to use concurrent engineering in projects. Simultaneous engineering means the creation of a project schedule for projects based on existing units … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 4 · 18 Nov 2020 · 6,686 accessesView PDF Cite

EditorialOpen accessIn the abstractIs Rerum® the New Coley's Vaccine?Marco RuggieroColey's Vaccine and Cancer Immunotherapy Dr. William B. Coley is credited for having been the first to translate the observation of an association between bacterial infections, high fever and cancer remission into a successful cancer treatment. However, it is worth noting that such an association dates back to at least one century before Coley's times; as Wiemann and Starnes from … …American Journal of Immunology, Vol. 13, Issue 2 · 31 May 2017 · 12,281 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Survey of Anomaly Detection Using Data Mining Methods for Hypertext Transfer Protocol Web ServicesMohsen Kakavand, Norwati Mustapha, Aida Mustapha et al.In contrast to traditional Intrusion Detection Systems (IDSs), data mining anomaly detection methods/techniques has been widely used in the domain of network traffic data for intrusion detection and cyber threat. Data mining is widely recognized as popular and important intelligent and automatic tools to assist humans in big data security analysis and anomaly detection over IDSs. In this study we … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Jan 2015 · 9,252 accessesView PDF Cite

Research ArticleOpen accessIn the abstractGrammatical Relation Extraction in Arabic LanguageOthman Ibrahim Hammadi, Mohd Juzaiddin Ab AzizProblem statement: Grammatical Relation (GR) can be defined as a linguistic relation established by grammar, where linguistic relation is an association among the linguistic forms or constituents. Fundamentally the GR determines grammatical behaviors such as: placement of a word in a clause, verb agreement and the passivity behavior. The GR of Arabic language is a necessary prerequisite for many natural … …Journal of Computer Science, Vol. 8, Issue 6 · 17 Mar 2012 · 7,027 accessesView PDF Cite