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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 keywordsEnhanced Ensemble Prediction Algorithms for Detecting Faulty Modules in Object Oriented Systems Using Quality MetricsM. Punithavalli, C. NeelamegamThe high usage of software system poses high quality demand from users, which results in increased software complexity. To address these complexities, software quality engineering methods should be updated accordingly and enhance their quality assuring methods. Fault prediction, a sub-task of SQE, is designed to solve this issue and provide a strategy to identify faulty parts of a program, so … …Journal of Computer Science, Vol. 8, Issue 12 · 20 Dec 2012 · 6,435 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExpression, Purification and Activity Assay of Two New Recombinant Antagonists of Fibrinogen ReceptorJianbo Yang, Jia Yao, Kun Yang et al.The gene sequence of Decorsin which is extracted from a kind of North American leeches was synthesized. Two recombinant proteins, Annexin V plus Decorsin (AnnV-D39) and Annexin V plus the carboxyl terminal 27 amino acid residues of Decorsin(AnnV-D27), were constructed. And a 10 amino acids linker peptide of GGGGSGGGGS was inserted between Annexin V and Decorsin in AnnV-D39. Using pET-28(a+) … …American Journal of Biochemistry and Biotechnology, Vol. 1, Issue 2 · 30 Jun 2005 · 6,913 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplications of Machine Learning in Building Energy Prediction and SavingsPriyan Rai, Dr. Nabil Nassif, Kevin Eaton, Alexander RodriguesIn a constantly advancing world with growing needs, buildings play in important role in the daily functioning of the society. Developing more and more advanced techniques to optimize the working of these buildings is highly important for a constant growth. Modern computational techniques have opened doors to create advanced models that can utilize efficient techniques to produce highly accurate results. … …Energy Research Journal, Vol. 10, Issue 1 · 15 Mar 2019 · 8,038 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImplementation of Homomorphic Encryption for Wireless Sensor Networks Integrated with Cloud InfrastructureChristophe Ishimwe Ngabo, Omar El BeqqaliWith the current explosion of cloud services, it is easy for everyone to store the prodigious amount of data on remote servers. On the other hand, service providers are given full access to our information, or in the worst case, can be intercepted by malicious people. The solution is to encrypt the data to make it completely secret. But then, … …Journal of Computer Science, Vol. 15, Issue 2 · 8 Feb 2019 · 7,668 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA NOVEL ARCHITECTURAL FRAMEWORK FOR AGGREGATED SUBSCRIBER PROFILEJagannadham Dulipala, P. SeethalakshmiSubscriber/User’s data in a Communication Service Provider’s (CSP) Environment spread across different &#34silo type&#34 Network Elements (subscriber data sources) and systems such as Customer Relationship Management System (CRM), Home Location Register/Visitor Location Register (HLR/VLR), Home Subscriber Server (HSS), Policy Charging Rules Function (PCRF), Business Support System/Operation Support System (BSS/OSS). The proliferation of convergent telecom applications and value added services necessitates … …Journal of Computer Science, Vol. 10, Issue 3 · 29 Nov 2013 · 6,484 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPerformance Improvement in Cloud Computing Using Resource ClusteringG. Malathy, Rm Somasundaram, K. DuraiswamyCloud computing is a computing paradigm in which the various tasks are assigned to a combination of connections, software and services that can be accessed over the network. The computing resources and services can be efficiently delivered and utilized, making the vision of computing utility realizable. In various applications, execution of services with more number of tasks has to perform … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTrans Pacific Strategic Economic Partnership With Japan, South Korea and China Integrate: General Equilibrium ApproachTodsadee Areerat, Hiroshi Kameyama, Shoichi Ito, Koh-en YamauchiProblem statement: The Trans-Pacific Strategic Economic Partnership Agreement (TPP) is a high standard and broad based Free Trade Agreement that aims to integrate the economies of the Asia-Pacific region. Recently, the US is pressing Japan to join the group. Japan is considering joining the TPP because of the dual considerations of its own economy and the political situation in East … …American Journal of Economics and Business Administration, Vol. 4, Issue 1 · 17 Jan 2012 · 9,883 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSummarizing Relational Data Using Semi-Supervised Genetic Algorithm-Based Clustering TechniquesRayner AlfredProblem statement: In solving a classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets stored in multiple tables into a single table. Unfortunately, we may loss some information when we join tables with a high degree of one-to-many association. Therefore, data transformation becomes a tedious trial-and-error work and … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,585 accessesView PDFCite
Research ArticleOpen accessIn the keywordsExtended IOWG Operator and its Use in Group Decision Making Based on Multiplicative Linguistic Preference RelationsZeshui XuIn [1], Xu and Da introduced the Induced Ordered Weighted Geometric (IOWG) operator, which takes as its argument pairs, called OWG pairs, in which one component is used to induce an ordering over the second components which are exact numerical values and then aggregated. In this study, we develop an extended IOWG (EIOWG) operator, in which the second components are … …American Journal of Applied Sciences, Vol. 2, Issue 3 · 31 Mar 2005 · 7,118 accessesView PDFCite