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226 articles for “Rules”
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Research ArticleOpen accessIn the keywordsIdentification 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 accessIn the keywordsA 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 accessIn the keywordsA Classification and Prediction Model for Student's Performance in University LevelAshraf Abazeed, Moaiad KhderEducational Data Mining is a new discipline, focusing on studying the methods and creating models to utilize educational data, using those methods to better understand students and their performance. We implemented two different techniques on our dataset; classification used to build a prediction model and association rules were used to find interesting hidden information in the student's records. This study … …Journal of Computer Science, Vol. 13, Issue 7 · 14 Jul 2017 · 8,223 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUpdating Italian Design Guide CNR DT-205/2007 in View of Recent Research Findings: Requirements for Pultruded FRP ProfilesFabio Minghini, Nerio Tullini, Francesco AscioneA discussion on some design rules for pultruded fiber-reinforced plastic (PFRP) profiles reported by guideline CNR DT-205/2007 from National Research Council of Italy is presented in the paper. At eight years after approval of this technical document, several changes and improvements are required following recent research findings and supplemental design rules should be incorporated into a future revision. The general … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 27 Sep 2016 · 9,114 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPERFORMANCE ANALYSIS OF HIGH EFFICIENT AND LOW POWER ARCHITECTURE FOR FUZZY BASED IMAGE FUSIONS. Anbumozhi, P. S. ManoharanImage fusion based on wavelet transform is the most commonly used image fusion method, which fuses the source images’ information in wavelet domain according to some fusion rules. But because of the uncertainties of the source images’ contributions to the fused image, how to design a good fusion rule to integrate as much information as possible into the fused image … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 21 Feb 2014 · 6,753 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFUZZY RULE-BASED SYSTEM FOR AVENUE MANAGEMENTS. Prakash, C. SundarMutual Funds are becoming effective way for investors to participate in financial markets. An investor must learn to analyze and measure the risk and return of the portfolio. The performance of funds is mainly affected by characteristics such as asset size, turnover and fee structure. Investors’ highest priority lies in understanding the relation between fund performance and above properties. Currently … …American Journal of Applied Sciences, Vol. 11, Issue 5 · 15 Feb 2014 · 6,927 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 keywordsA Dynamic Temporal Neuro Fuzzy Inference System for Mining Medical DatabasesR. Sethukkarasi, A. KannanThe analysis and representation of temporal data are becoming increasingly important in many areas of research and application. The existing Fuzzy Cognitive Maps (FCMs) are efficient modeling method for knowledge representation and fuzzy reasoning in time series analysis. In the past, it was used to represent a complex causal system as a collection of concepts and causal relationships among concepts. … …Journal of Computer Science, Vol. 8, Issue 11 · 7 Nov 2012 · 6,358 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 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