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82 articles for “data transaction”
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Research ArticleOpen accessIn the abstractSupport Measure Admissibility Based on Operations on Instance GraphsFord Lumban GaolThe concept of support is central to data mining. While the definition of support in transaction databases is intuitive and simple, that is not the case in graph datasets and databases. Most mining algorithms require the support of a pattern to be no grater than that of its subpatterns, a property called anti-monotonicity or admissibility. This study examines the requirements … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractRedundancy Schemes for High Availability Computer ClustersChristian K. Bassek, Samuel Pierre, Alejandro QuinteroThe primary goal of computer clusters is to improve computing performances by taking advantage of the parallelism they intrinsically provide. Moreover, their use of redundant hardware components enables them to offer high availability services. In this paper, we present an analytical model for analyzing redundancy schemes and their impact on the cluster’s overall performance. Furthermore, several cluster redundancy techniques are … …Journal of Computer Science, Vol. 2, Issue 1 · 31 Jan 2006 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractA 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 abstractStudents' Awareness and Requirements of Mobile Learning Services in the Higher Education EnvironmentNaji Shukri Alzaza, Abdul Razak YaakubProblem statement: M-learning is considered as the next generation of e-learning using mobile technologies. Students’ awareness of such technology is one of the most focuses for success adoption. This study aims to investigate students’ awareness and requirements of mobile learning services among Malaysian students in the higher education environment. Approach: The study found that the higher education environment now has … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 26 Jan 2011 · 18,665 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Bayesian Networks in Classification-and-Ranking Architecture of Response GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: The first component in classification-and-ranking architecture is a Bayesian classifier that classifies user utterances into response classes based on their semantic and pragmatic interpretations. Bayesian networks are sufficient if data is limited to single user input utterance. However, if the classifier is able to collate features from a sequence of previous n-1 user utterances, the additional information may … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,104 accessesView PDFCite
Research ArticleOpen accessIn the abstractProposed Movement Tracking E-Systems of Payment in the MunicipalitiesHassan Mohammed M. ElmetwalyProblem statement: There is no doubt that the problem of multiple entry forms data collection in information systems of the biggest problems faced by the relevant authorities. Approach: The electronic collection system proposed a final solution to the problems of collection in all municipalities. Results: Where this system was characterized by the presence of one form was linked to all … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,760 accessesView PDFCite
Research ArticleOpen accessIn the abstractE-Government Readiness Assessment ModelAhmed Al-Omari, Hussein Al-OmariThis study presents a general framework model for E-Government Readiness Assessment. There are six necessary key factors to implement any E-government initiative worldwide. These factors represent the basic components to be assessed before launching the "e-initiative" to guarantee the right implementation in the right direction. The organization building blocks need to be assessed are: Organizational Readiness, Governance and leadership Readiness, … …Journal of Computer Science, Vol. 2, Issue 11 · 30 Nov 2006 · 8,307 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Descriptive Framework for the Multidimensional Medical Data Mining and RepresentationVeeramalai Sankaradass, Kannan ArputharajProblem statement: Association rule mining with fuzzy logic was explored by research for effective datamining and classification. Approach: It was used to find all the rules existing in the transactional database that satisfy some minimum support and minimum confidence constraints. Results: In this study, we propose new rule mining technique using fuzzy logic for mining medical data in order to … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 6,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Update Policy for Proactive Management of Deadline Miss Ratio and Data Freshness in Real-Time Database ModelsSanjay Tanwani, Ashwani K. RamaniImportant applications, like e-commerce, online stock trading, traffic control demand real-time data services. Conventional database perform poor at these applications. A database for real-time data services has to support timing constraints and temporal consistency in addition to supporting characteristics of a conventional database system. In other words, it is desirable to execute transactions within its deadline using updated data reflecting … …Journal of Computer Science, Vol. 1, Issue 4 · 31 Dec 2005 · 6,207 accessesView PDFCite