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14 articles for “rule generation”

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Research ArticleOpen accessIn the abstractSelf-Generation ART-1 Neural Network with Gradient-Descent Method Aid for Latin Alphabet RecognitionMbaïtiga ZacharieProblem statement: In this study a self-generation ART-1 neural network that is an efficient algorithm that emulates the self-organizing pattern recognition developed to avoid the stability-plasticity dilemma in competitive networks learning, is presented for Latin alphabet recognition to use in a vision system for road sings recognition. Approach: The first step of our approach deals with the training process where … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,568 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Probability Curves Obtained from 2 Quantitative Allergen-specific IgE Assays: FEIA and 3gAllergyTMT. M. Li, T. Chuang, S. M. Li, D. Hovanec-BurnsThe validity and benefit of probability curves in allergen-specific IgE (sIgE) testing and their applicability to more than a few allergens are still pending. One study[1] presented probability curves for 4 food allergens and proposed decision points to rule out the need for food challenges in his clinic. Since then, such cutoffs were reported by Boyano-Martinez[2] to be dependent on … …American Journal of Immunology, Vol. 1, Issue 2 · 30 Jun 2005 · 6,740 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation Techniques of Search Engine Optimization in Marketing Strategies Through the InternetRony Baskoro Lukito, Cahya Lukito, Deddy ArifinThe number of internet users around the world continue to grow and will continue to grow along with advances in communications technology. Communication technology which is now headed to the fourth generation (better known as 4G), allowing access into the rapidly growing information technology. Marketing media products and services not just print and electronic media. Nowadays marketing is also using … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Sep 2014 · 7,903 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA COMBINTORIAL TREE BASED FREQUENT PATTERN MININGN. Yamuna Devi, J. Devi ShreeFrequent pattern mining is a process of extracting frequently occurring itemset patterns from very large data storages. These frequent patterns are used to generate association rules which define the relationship among items. The strength of the relationship can be measured using two different units namely support value and confidence level. Any relationship that satisfies minimum threshold of support value is … …Journal of Computer Science, Vol. 10, Issue 9 · 23 Jun 2014 · 6,807 accessesView PDFCite