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90 results for “data transformation”
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Research ArticleOpen accessPhrase in the titleAdaptive Data Transformation for Enhanced Clustering Performance in Diagnostic SystemsMohammed Subhi Al-BatahThis paper presents an enhanced approach to the Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) algorithm, aimed at improving clustering accuracy in medical data, specifically for breast cancer diagnosis. The proposed method introduces a modified data transformation technique to optimize the original BIRCH algorithm. This transformation refines the clustering process, resulting in significant improvements in diagnostic accuracy. The modified … …Journal of Computer Science, Vol. 21, Issue 9 · 17 Oct 2025 · 2,287 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleAn Effective Data Transformation Approach for Privacy Preserving ClusteringR. R. Rajalaxmi, A. M. NatarajanA new stream of research privacy preserving data mining emerged due to the recent advances in data mining, Internet and security technologies. Data sharing among organizations considered to be useful which offer mutual benefit for business growth. Preserving the privacy of shared data for clustering was considered as the most challenging problem. To overcome the problem, the data owner published … …Journal of Computer Science, Vol. 4, Issue 4 · 30 Apr 2008 · 7,112 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Transformation-oriented Methodology to Knowledge-based Conceptual Data Warehouse DesignOpim S. Sitompul, Shahrul A. NoahApplications of artificial intelligence (AI) technology in the form of knowledge-based systems within the context of database design have been extensively researched particularly to provide support within the conceptual design phase. However, a similar approach to the task of data warehouse design has yet to be seriously initiated. In this paper, we proposed a design methodology for conceptual data warehouse … …Journal of Computer Science, Vol. 2, Issue 5 · 31 May 2006 · 6,731 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Class of Region-preserving Space Transformations for Indexing High-dimensional DataRatko Orlandic, Jack LukaszukThis study introduces a class of region preserving space transformation (RPST) schemes for accessing high-dimensional data. The access methods in this class differ with respect to their space-partitioning strategies. The study develops two new static partitioning schemes that can split each dimension of the space within linear space complexity. They also support an effective mechanism for handling skewed data in … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Mar 2005 · 6,919 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Systematic Literature Review for Implementing Data Ops in the Data Warehouse Lifecycle during the ETL PhaseAhmed Bahaa, Sherif Ragab Eldemerdash, Hanan FahmyNowadays, no one can deny the importance of Data Ware House (DWH) in all organizations. The most important components in Data Ware House (DWH) are the Extraction, Transformation, Loading (ETL) phase. Data cleaning is a basic piece of the transformation stage in Data Warehousing. This may affect critical activities such as data collection and decision-making in various organizations Data Ops … …Journal of Computer Science, Vol. 17, Issue 11 · 10 Nov 2021 · 7,547 accessesView PDFCite
Research ArticleOpen accessIn the keywordsShape Retrieval through Angular Distance with Shortest Augmenting Path AlgorithmD. Chitra, N. Devarajan, T. ManigandanProblem statement: The shape of an object is very important in object recognition. Shape matching is a challenging problem, especially when articulation and deformation of a part occurs. These variations may be insignificant for human recognition but often cause a matching algorithm to give results that are inconsistent with our perception. Approach: We proposed a customized approach to measure similarity … …Journal of Computer Science, Vol. 7, Issue 12 · 21 Oct 2011 · 6,817 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAnalysis of Interregional Commodity FlowsWirach Hirun, Sompong SirisoponsilpProblem statement: Commodity Flow Survey (CFS) was launched to collect comprehensive freight flow data throughout the kingdom of Thailand. The survey’s database is the most complete collection of commodity flow data in Thailand. The need to reveal interregional freight characteristics using available data from the CFS led to the objectives of this research. Approach: An origin destination matrix based on … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 4 · 22 Nov 2010 · 8,922 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimizing 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 PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 566 accessesView PDFCite
Review ArticleOpen accessIn the abstractAdopting Artificial Intelligence in ERP Systems as an Innovation to Support Business Growth: A Systematic Literature ReviewAmalia Sulfinita Lawendatu, Fajar Hidayat, Fathy Radhia, Sugiarto HartonoDigital transformation is driving the integration of Artificial Intelligence (AI) into Enterprise Resource Planning (ERP) systems as an innovative strategy to improve organizational competitiveness. However, consolidated knowledge regarding the benefits and challenges of this integration remains scarce. This study utilizes a Systematic Literature Review (SLR) in accordance with the PRISMA framework to analyze 31 peer-reviewed articles published between 2020 and … …Journal of Computer Science, Vol. 22, Issue 3 · 11 Mar 2026 · 3,105 accessesView PDFCite