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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 · 7,168 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlgorithm for Compressing/Decompressing Sudoku GridsZhivko Nedev, Murtala Adamu Zungeru, Suykhun Khov et al.We describe a way to transfer efficiently Sudoku grids through the Internet. This is done by using linearization together with compression and decompression that use the information structure present in all sudoku grids. The compression and the corresponding decompression are based on the fact that in each Sudoku grid there are information dependencies and so some of the information is … …Journal of Computer Science, Vol. 16, Issue 9 · 3 Oct 2020 · 6,879 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Analysis of Heart Disease for Diabetic Patients Using Recursive Feature Elimination with Random ForestBindushree Doddasiddavanahalli Channabasavaraju, Udayarani VinayakamurthyData Mining Techniques are used in many areas like banking, healthcare, education because of extracting relevant information from the database. Many algorithms in data mining are used to predict the disease to reduce the patient treatment cost as well as increase the diagnosis accuracy. In this research work, the risk level of diabetic heart disease patient can be predicted using … …Journal of Computer Science, Vol. 16, Issue 1 · 27 Jan 2020 · 7,936 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 · 7,712 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Route Shortening and Route Repairing Mechanism for Mobile Ad Hoc NetworksS. Revathi, T. R. RangaswamyProblem statement: Ad hoc Networks are wireless networks without any fixed infrastructure. The network topology changes frequently and unpredictably due to the random movement of the nodes. The Ad Hoc on Demand Distant Vector Routing (AODV) protocol works in a dynamic fashion, by establishing a route on demand and continues that route until it breaks. Due to the changing network … …Journal of Computer Science, Vol. 8, Issue 8 · 11 Jul 2012 · 7,074 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign For Test Technique for Leakage Power Reduction in Nanoscale Static Random Access MemoryN. M. Sivamangai, GunavathiProblem statement: As technology scales down, the integration density of transistors increases and most of the power is dissipated as leakage. Leakage power reduction is achieved in Static Random Access Memory (SRAM) cells by increasing the source voltage (source biasing) of the SRAM array. Another promising issue in nanoscaled devices is the process parameter variations. Due to these variations, higher … …Journal of Computer Science, Vol. 7, Issue 8 · 15 Jul 2011 · 6,509 accessesView PDFCite
Research ArticleOpen accessIn the abstractReduce Computation Steps Can Increase the Efficiency of Computation AlgorithmZulkarnain Md. AliProblem statement: Lucas function is a special form of second-order linear recurrence relation. It is used in LUC cryptosystems. The performance of LUC cryptosystem depends on the size of public key, messages and two relatively primes. The increasing of size of these parameters will increase the computation time need to perform the LUC Cryptosystem computation. The efficiency means the quality … …Journal of Computer Science, Vol. 6, Issue 10 · 24 Aug 2010 · 7,018 accessesView PDFCite
Research ArticleOpen accessIn the abstractCost Analysis of a System Involving Common-Cause Failures and Preventive MaintenanceM.Y. HaggagProblem statement: Many authors have studied the cost analysis of a two-unit cold standby redundant system with two types of unit failure, but no attention was paid to the reliability of a system involving common-cause failures and preventive maintenance. Question was raised whether the preventive maintenance would be effective on the reliability and performance of the system. Determine the efficacy … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,610 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Filtering Algorithm for Duplicate Document Based on Concept AnalysisAhmad M. HasnahData bases and web pages contain currently a huge number of duplicate document. It is then fundamental to have a filter which can be embedded, for instance, within an information retrieval system like a search engine in order to prohibit the redundant documents references to appear on the screen as a reply to the user's query. This filter can save … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 6,745 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 · 7,447 accessesView PDFCite