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32 articles for “Knowledge Discovery”
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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 · 7,164 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Modeling for Multi-Label Text Classification Supported by Classification AlgorithmsBeatriz Wilges, Gustavo Mateus, Silvia Nassar et al.The ever-increasing amount of information on the Web is organized in structured, semi-structured and unstructured data. Text classification systems, capable of handling such different structures, may facilitate the work of important tasks such as indexation and information retrieval in search engines. The objective of this research is to develop a method for the classification of documents into multiple categories with … …Journal of Computer Science, Vol. 12, Issue 7 · 22 Aug 2016 · 7,215 accessesView PDFCite
EditorialOpen accessIn the abstractProtecting crop species from biotic and abiotic constraints in the era of Global Change: are we ready for this challenge?Marco Landi, Giovanni BenelliReliable and affordable supply of food is of crucial importance to the progress and stability of human societies. During the last century, we have assisted to an extraordinary increase of crop yields, especially for the most widespread and consumed crop species, such as rice, wheat, corn and soybean. The Broadbalk experiment, one of the oldest continuous agronomic experiments in the … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 2 · 4 Jun 2016 · 8,399 accessesView PDFCite
Research ArticleOpen accessIn the abstractInstructional Methods to Computer Science Education as Investigated by Computer Science TeachersAndreas Zendler, Dieter KlaudtAnswers to the questions of which instructional methods are suitable for school, what instructional methods should be applied in teaching individual subjects and how instructional methods support the act of learning represent challenges to general education and education in individual subjects. This article focuses on computer science teachers´ examination of instructional methods supporting knowledge processes in the act of learning. … …Journal of Computer Science, Vol. 11, Issue 8 · 19 Nov 2015 · 7,883 accessesView PDFCite
EditorialOpen accessIn the abstractRe-Paving the Road Built by Chemistry: A Challenge to Biochemistry and BiotechnologyAlberto A. IglesiasBiochemistry’s birth can be placed at the end of the nineteenth century, when Eduard Buchner made a clever interpretation of experimental observations on the generation of gas bubbles after addition (the original purpose was preservation) of sucrose to a yeast crude extract (Lagerkvist, 2005). Intelligently, Buchner concluded that the disaccharide had been fermented by broken cells’ suspension to produce CO2, … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 1 · 26 Jan 2015 · 7,461 accessesView PDFCite
Research ArticleOpen accessIn the abstractSELECTING PERFECT INTERESTINGNESS MEASURES BY COEFFICIENT OF VARIATION BASED RANKING ALGORITHMK. Selvarangam, K. Ramesh KumarRanking interestingness measure is an active and essential research domain in the process of knowledge discovery from the extracted rules. Since various measures proposed by many researchers in various situations increases the list of measures and these are not able to use as a common measures to evaluate the rules, knowledge finders are not able to identify a perfect measure … …Journal of Computer Science, Vol. 10, Issue 9 · 17 Apr 2014 · 6,404 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 abstractFocal Adhesion Kinase: An Old Protein with New RolesAtul Kumar Pandey, Sonal Somvanshi, Vivek Pratap SinghFocal adhesion kinase, FAK is a tyrosine kinase which is prominently localized to focal adhesions and therefore its name, is an indispensable protein in integrin signaling. Since the discovery of FAK, this tyrosine kinase had been shown to regulate a variety of cell behavior like cell migration, proliferation, apoptosis and metastasis which makes this molecule at a centre stage of … …OnLine Journal of Biological Sciences, Vol. 12, Issue 1 · 13 Mar 2012 · 8,439 accessesView PDFCite
Research ArticleOpen accessIn the abstractMolecular Medicine-Prospects and ChallengesC. N. Ramchand, R. Sripathy, N. Somashekara et al.Drug discovery and development is a process that rationally leads to instigation of compound or formulation for the treatment of particular disease/diseased condition by acting on its specific target (s). Most of the drugs identified by conventional drug discovery process were as a result of unsystematic, random and serendipitous approach. Enhancement of knowledge in the field of biotechnology, molecular biology … …American Journal of Infectious Diseases, Vol. 8, Issue 1 · 23 Feb 2012 · 7,473 accessesView PDFCite
Research ArticleOpen accessIn the abstractIn vitro Anti Plasmodial Activity of Enicostemma littoraleSanket Soni, Sarita GuptaProblem statement: Malaria is a prevalent disease in India. The problem of drug resistance is worsening. Hence, new effective and affordable antimalarial drugs are very much needed. The long-established use of quinine and the more recent introduction of artemisinin as highly effective anti malarials demonstrate that plant species are an important resource for the discovery of new anti malarial agents. … …American Journal of Infectious Diseases, Vol. 5, Issue 3 · 30 Sep 2009 · 7,707 accessesView PDFCite