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564 articles for “Data Quality (DQ)”
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Research ArticleOpen accessIn the keywordsAssessing the Environmental Impacts of Urban Growth Using Land Use/Land Cover, Water Quality and Health Indicators: A Case Study of Arequipa, PeruOswaldo Villena Carpio, Brian D. FathProblem statement: This research assesses the direct effects of urban expansion on land cover/use, river flow, water quality and the indirect effects of these variables in the rate of gastrointestinal disease in people in Arequipa, Peru through the combined use of satellite remote sensing and geographic information systems. Approach: It also uses information about demographic changes, hydrologic data and land … …American Journal of Environmental Sciences, Vol. 7, Issue 2 · 26 May 2011 · 8,744 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Metadata Analysis and Base Analysis Techniques in Data Qualities Framework for Data WarehousesAzwa Abdul Aziz, Md Yazid Mohd Saman, Mohd Pouzi HamzahInformation provided by any applications systems in organization is vital in order to obtain a decision. Due to this factor, the quality of data provided by Data Warehouse (DW) is really important for organization to produce the best solution for their company to move forwards. DW is complex systems that have to deliver highly-aggregated, high quality data from heterogeneous sources … …American Journal of Economics and Business Administration, Vol. 3, Issue 1 · 31 Jan 2011 · 7,532 accessesView PDFCite
Technical ReportOpen accessIn the keywordsReport on the Evaluation of Ugua J2 and J3 Reservoir PerformanceOkotie Sylvester, Ikporo Bibobra, Ovuema AugustinaGlobally, there are different techniques applied in the industry such as analog, volumetric, decline curve, material balance and simulation methods to estimate hydrocarbon reserves which depends upon the volume and quality of available data with some levels of uncertainties. The analogy method is applied by comparing factors for the current fields or wells while the volumetric method implies the determination … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 7 Nov 2015 · 7,666 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Efficient Way for Clustering Using Alternative Decision TreeE. Gothai, P. BalasubramanieProblem statement: To Improve the quality of clustering; a Multi-Level Clustering (MLC) algorithm which produces a most accurate cluster with most closely related object using Alternative Decision Tree (ADT) technique is proposed. Approach: Our proposed method combines tree projection and condition for clustering formation and also is capable to produce a customizable cluster for varying kind of data along with … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 13 Feb 2012 · 6,742 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSuitability of Data Intensive Application in a Bandwidth Constrained Global Grid NetworkT.R. Srinivasan, R. ShanmugalakshmiProblem statement: To check the suitability of real time data intensive applications in a global grid network. Approach: With improved bandwidth availability, taking the grid to the internet is becoming a reality. However issues’ regarding the security and bandwidth utilization needs to be understood as these factors become crucial to the success of the grid as a commercial model. Results: … …American Journal of Applied Sciences, Vol. 8, Issue 5 · 17 May 2011 · 6,774 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Hidden Genetic Layer Based Neural Network for Mobility PredictionL. Velmurugan, P. ThangarajProblem statement: With numerous wireless devices increasingly connecting to the internet, WLAN infrastructure planning becomes very important to maintain desired quality of services. For maintaining desired quality of service it is desirable to know the movement pattern of users. Mobility prediction involves finding the mobile device's next access point as it moves through the wireless network. Hidden Markov models and … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,229 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Study of the Production Rules for Context Inference of Wetland Water Quality on Ubiquitous Sensor Network Middleware FrameworkSo-Young Im, Ryum-Duck OhProblem statement: With gradually increasing movement to live together with nature, artificial wetlands are increasing as well. And the wind of change blows at the rivers and streams, thereby increasing the need for management systems. Conclusion/Recommendations: Accordingly, this study aims to design production rules for wetland environment context inference and establish application system by using JESS and the rule-based system … …Journal of Computer Science, Vol. 8, Issue 3 · 13 Jan 2012 · 6,853 accessesView PDFCite
Research ArticleOpen accessIn the keywordsQuality Evaluation of Reconstructed Biological SignalsMikhled Alfaouri, Khaled Daqrouq, Ibrahim N. Abu-Isbeih et al.This research presents the use of wavelet transforms for reconstructed signal evaluation for biological signals. The method adapted on this research, is a new modeling technique and based on calculating the reconstruction error of the wavelet transform sub-signals that have different frequency bands and different deformation degree. The paper processes a special set of application in biomedical field, called Electrocardiogram … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 9,111 accessesView PDFCite
Review ArticleOpen accessIn the abstractImproving Classification and Clustering Accuracy of Palembang Duku Fruit Quality via CNN-K-Means IntegrationHenny Hartono, Francka Sakti Lee, Herlina Herlina et al.Duku Palembang (Lansium domesticum Corr.) is a leading commodity from South Sumatra with high economic value. The quality assessment process for duku has traditionally relied on manual visual inspection, which is subjective, time-consuming, and inconsistent, especially at large production scales. This study proposes an integrative framework combining Convolutional Neural Network (CNN) and K-Means Clustering to improve the accuracy of classification … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 8 May 2026 · 1,479 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Systematic Literature Review on Data Integration: Issues, Data Types, ArchitectureMimi Haryani Tasani, Mohd Kamir YusofData integration is an important process that enables organizations to merge data from various sources, creating a consolidated viewpoint that supports better decision-making, increased effectiveness, and deeper insights. Although data integration has advantages, it also comes with difficulties like maintaining data quality, adhering to compliance regulations, resolving technical issues, and merging with older systems. Effective management of data quality, robust … …Journal of Computer Science, Vol. 22, Issue 2 · 18 Feb 2026 · 1,815 accessesView PDFCite