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44 results for “Association Rule”
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Research ArticleOpen accessPhrase in the titleSQL Generation from Natural Language: A Sequence-to-Sequence Model Powered by the Transformers Architecture and Association RulesYoussef Mellah, Abdelkader Rhouati, El Hassane Ettifouri et al.Using Natural Language (NL) to interacting with relational databases allows users from any background to easily query and analyze large amounts of data. This requires a system that understands user questions and automatically converts them into structured query language such as SQL. The best performing Text-to-SQL systems use supervised learning (usually formulated as a classification problem) by approaching this task … …Journal of Computer Science, Vol. 17, Issue 5 · 23 May 2021 · 10,027 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleCustomized Privacy Preservation Using Unknowns to Stymie Unearthing Of Association RulesJ. Indumathi, G.V. UmaThe explosions of new data mining techniques has augmented privacy risks because now it is probable to powerfully coalesce and cross-examine massive data stores, accessible on the web, in the rummage around of earlier unidentified hidden patterns. Consecutively to make a overtly accessible system safe and sound, we must guarantee not only that private sensitive data have been trimmed out, … …Journal of Computer Science, Vol. 3, Issue 11 · 30 Nov 2007 · 7,117 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSystem Error Estimate using Combination of Classification and Optimization TechniqueKhalid AlattasThe representation of software must produce flawless significances without any inadequacies. Software imperfection evaluations scheme determines defective mechanisms in software. The eventual creation would have minor or negligible shortcomings to harvest great eminence software. Software quality metrics are a division of software metrics that spotlight the quality aspects of the product. The software flaw prediction system helps in the early … …Journal of Computer Science, Vol. 17, Issue 3 · 1 Apr 2021 · 6,588 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Proposed Mining Based Business Continuity Information System for Educational InstitutesAmira M. Idrees, Ahmed Ibrahim El Seddawy, Mayada EL MoaazIt has become an essential element for all organizations to be engaged in a more deliberate transform for prevention, protection, preparedness, mitigation and reaction to Business Continuity Management (BCM) and recovery. It is becoming risky for the organization to reply of disaster plan which targets to minimize the causes of the disruption. An organization should take a proactive approach to … …Journal of Computer Science, Vol. 15, Issue 8 · 17 Aug 2019 · 7,422 accessesView PDFCite
Research ArticleOpen accessIn the keywordsImproving Question Answering System based on a Hybrid TechniqueAyatallah Gamal Abass, Sameh Abd El-Ghany, Ahmed Abo ElfetohQuestion Answering (QA) is a specialized form of information retrieval characterized by information needs that are expressed as natural language statements or questions. Query expansion is an approach which is used to extend question key words with new related words that are not included in question. In this study, anew association rule based question processing model is introduced. This model … …Journal of Computer Science, Vol. 14, Issue 9 · 15 Aug 2018 · 7,979 accessesView PDFCite
Research ArticleOpen accessIn the keywordsShots Temporal Prediction Rules for High-Dimensional Data of Semantic Video RetrievalShaimaa Toriah Mohamed Toriah, Atef Zaki Ghalwash, Aliaa A.A. YoussifTemporal consistency stands as a vital property in semantic video retrieval. Few research studies can exploit this useful property. Most of the used methods in those studies depend on rules defined by experts and use ground-truth annotation. The Ground-truth annotation is time-consuming, labor intensive and domain specific. Additionally, it involves a limited number of annotated concepts and a limited number … …American Journal of Applied Sciences, Vol. 15, Issue 1 · 30 Jan 2018 · 8,117 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Framework for Systematizing Personalized Thai Herbal Medicine: A Case Study Covering Gynecological ConditionsCharinee Prompukdee, Jaratsri Rungrattanaubol, Chayanin PratoomsootThai Traditional Medicine (TTM) is an integral part of Thai traditional culture, with a history which spans many centuries. As part of this tradition, a significant number of historical pharmacopoeias and herbal textbooks have been preserved but much of the content of these texts is hard to access and interpret and so this paper proposes a framework for applying knowledge … …Journal of Computer Science, Vol. 13, Issue 6 · 24 Jun 2017 · 7,551 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 keywordsA 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 · 6,804 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSELECTING 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