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 keywordsEmpirical Study on Applications of Data Mining Techniques in HealthcareHarleen Kaur, Siri Krishan WasanThe healthcare environment is generally perceived as being ‘information rich’ yet ‘knowledge poor’. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain. Valuable knowledge can be discovered … …Journal of Computer Science, Vol. 2, Issue 2 · 28 Feb 2006 · 9,834 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 abstractFROM DATA MINING AND KNOWLEDGE DISCOVERY TO BIG DATA ANALYTICS AND KNOWLEDGE EXTRACTION FOR APPLICATIONS IN SCIENCESubana Shanmuganathan"Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big data". The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams, noisy, structured/unstructured … …Journal of Computer Science, Vol. 10, Issue 12 · 20 Jan 2015 · 8,740 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPerformance Analysis of Data Mining Tools Cumulating with a Proposed Data Mining MiddlewareL. E. Hen, S. P. LeeData mining has becoming increasingly popular in helping to reveal important knowledge from the organization's databases and has led to the emergence of a variety of data mining tools to help in decision making. Present study described a test bed to investigate five major data mining tools, namely IBM intelligent miner, SPSS Clementine, SAS enterprise miner, oracle data miner and … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 6,600 accessesView PDFCite