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32 results for “Relational Database”
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Research ArticleOpen accessPhrase in the titleAutomatic Discovery of Association Paths in Relational Databases Using Software VisualizationHaider Ali RamadhanWe introduce a visual framework for facilitating tasks associated with database maintenance and re-use. The prototype system embodying the framework is presented. The system utilizes various techniques and features of software visualization. The system supports visual displays of the database structure along with various implicit relationships found in it such as associations and path views. Information visualized is automatically extracted … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,643 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRelational GIS and Remote Sensing Database System for Al-Salt Area, JordanEyad H.R. Fadda, Maher Kakish, Emad Jalal AkawwiDue to the importance of database systems, integration between two Geomatics sciences, GIS and Remote Sensing has been made in order to support and serve various sectors in Jordan. GIS has been used to create layers that can show decision makers in a simple, easy and flexible manner. Remote Sensing will be used in creating images of how Jordan is … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 4 · 31 Dec 2008 · 6,951 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA 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 · 7,442 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBioDARA: Data Summarization Approach to Extracting Bio-Medical Structuring InformationChung Seng Kheau, Rayner Alfred, Joe Henry ObitProblem statement: Due to the ever growing amount of biomedical datasets stored in multiple tables, Information Extraction (IE) from these datasets is increasingly recognized as one of the crucial technologies in bioinformatics. However, for IE to be practically applicable, adaptability of a system is crucial, considering extremely diverse demands in biomedical IE application. One should be able to extract a … …Journal of Computer Science, Vol. 7, Issue 12 · 24 Oct 2011 · 7,936 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNormalized Relational Storage for Extensible Markup Language (XML) SchemaKamsuriah Ahmad, Reduan SamadProblem statement: The use of XML as the common formats for representing, exchanging, storing, integrating and accessing data posses many new challenges to database systems. Most of application data are stored in relational databases due to its popularity and rich development experiences over it. Therefore, how to provide a proper mapping approach from XML model to relational model become the … …Journal of Computer Science, Vol. 7, Issue 11 · 24 Aug 2011 · 6,838 accessesView PDFCite
Research ArticleOpen accessIn the keywordsComparing and Choosing Appropriate Database for Storing Context in Context Aware SystemB. Vanathi, V. Rhymend UthariarajProblem statement: The databases introduce the digital era the fact that requirement to maintain large and ample data. The growth of information development and improvement that pursued it transformed the databases into a global reality. This study enquired and described the vital role of storing the context data to an appropriate database in the area of context aware computing. It … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,519 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTopologies Induced by Relations with ApplicationsA. S. SalamaTopological structures induced by relations represents the process of extracting interesting decision rules from data. The attributes reduction and the calculation of core are the essentials to extract the decision rules. Finding the reducts, core and decision rules topologically is a new mathematical tool for discovering attribute dependencies in information systems. Problem statement: These mathematical tools employ some concepts from … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 7,212 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTowards a Temporal Multilevel Secure Database (TMSDB)Ramzi A. Haraty, Natalie BekaiiStandard Relational Databases are used to store the state of reality at a single moment of time. Temporal Databases are used to store Time-Varying Data. Multilevel Secure Databases are used to securely store highly sensitive data. Each of these databases serves its purpose well, but if we were to model the temporal and sensitive aspect of the real world data, … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 6,710 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOne-Match and All-Match Categories for Keywords Matching in ChatbotAbbas Saliimi Lokman, Jasni Mohamad ZainProblem statement: Artificial intelligence chatbot is a technology that makes interactions between men and machines using natural language possible. From literature of chatbot’s keywords/pattern matching techniques, potential issues for improvement had been discovered. The discovered issues are in the context of keywords arrangement for matching precedence and keywords variety for matching flexibility. Approach: Combining previous techniques/mechanisms with some additional adjustment, … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 8,165 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Literature Review of Graph Neural Networks in Disaster Management: Methods, Applications, and Future DirectionsSularno, Wendi Boy, Putri Anggraini et al.The increasing frequency and complexity of natural disasters underscore the urgent need for intelligent systems that support timely and effective decision-making. Graph Neural Networks (GNNs) have emerged as a powerful deep-learning paradigm for modeling spatial and relational data, offering distinct advantages for disaster management. This study presents a Systematic Literature Review (SLR) of GNN-based approaches for disaster mitigation, emergency response, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,036 accessesView PDFCite