6 results for “multiple tables”

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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 PDF Cite

Research ArticleOpen accessIn the abstractComplex SQL-NoSQL Query Translation for Data Lake ManagementNurhadi, Rabiah Abdul Kadir, Ely Salwana Mat SurinA data lake refers to an extremely large data resource or repository. Data lakes store large amounts of data and use advanced analytics to pair data from multiple sources with different types of structured, semi-structured, and unstructured information. NoSQL databases such as Mongodb, Redis, Neo4j, and Cassandra are nontabular and they store data differently rather than use relational tables. NoSQL … …Journal of Computer Science, Vol. 18, Issue 12 · 19 Dec 2022 · 9,277 accessesView PDF Cite

Research ArticleOpen accessIn the abstractA Cross-sectional Study of Sexual Practices, Sexually Transmitted Infections and Human Immunodeficiency Virus among Male-to-Female Transgender PeopleP.S. Saravanamurthy, P. Rajendran, Priya Maria Miranda et al.Problem statement: Designing HIV interventions requires evidence on links between behaviors and elevated transmission risk that remains scanty for male-to-female Transgender (TG) people in India. Approach: In 2007, we carried out a cross-sectional study through convenience sampling of 131 TG aged > 18years, residing in Chennai at least prior to six months of the study. Sexual practices and perception towards … …Current Research in Medicine, Vol. 1, Issue 2 · 31 Oct 2010 · 8,370 accessesView PDF Cite

Research ArticleOpen accessIn the abstractSummarizing Relational Data Using Semi-Supervised Genetic Algorithm-Based Clustering TechniquesRayner AlfredProblem statement: In solving a classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets stored in multiple tables into a single table. Unfortunately, we may loss some information when we join tables with a high degree of one-to-many association. Therefore, data transformation becomes a tedious trial-and-error work and … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 7,585 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOptimizing Feature Construction Process for Dynamic Aggregation of Relational AttributesRayner AlfredProblem statement: The importance of input representation has been recognized already in machine learning. Feature construction is one of the methods used to generate relevant features for learning data. This study addressed the question whether or not the descriptive accuracy of the DARA algorithm benefits from the feature construction process. In other words, this paper discusses the application of genetic … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,929 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDiscretization Numerical Data for Relational Data with One-to-Many RelationsRayner AlfredProblem statement: Handling numerical data stored in a relational database has been performed differently from handling those numerical data stored in a single table due to the multiple occurrences (one-to-many association) of an individual record in the non-target table and non-determinate relations between tables. Numbers in Multi-Relational Data Mining (MRDM) were often discretized, after considering the schema of the relational … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 7,030 accessesView PDF Cite