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31 results for “real-time database”
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Review ArticleOpen accessIn the abstractProcessing Skyline Queries in Incomplete Database: Issues, Challenges and Future TrendsYonis Gulzar, Ali A. Alwan, Norsaremah Salleh, Imad Fakhri Al ShaikhliIn many contemporary database applications such as multi-criteria decision-making and real-time decision-support applications, data mining, e-commerce and recommendation systems, users need query operators to process the data aiming at finding the results that best fit with their preferences. Skyline queries are one of the most predominant query operators that privileges to find the query results that return only those data … …Journal of Computer Science, Vol. 13, Issue 11 · 20 Nov 2017 · 8,002 accessesView PDFCite
Review ArticleOpen accessIn the abstractBibliometric Analysis of Missing Value Imputation (MVI) Research Using Python and VOSviewer: Trends and Future DirectionsSamsul Arifin, Muhammad Faisal, Edwin Kristianto Sijabat et al.Incomplete data is a pervasive issue in data science, posing significant challenges for statistical analysis and machine learning applications. Missing Value Imputation (MVI) has thus emerged as a critical area of research aimed at mitigating data quality issues and improving decision-making accuracy. This study presents a comprehensive bibliometric analysis of MVI research using Scopus-indexed publications from 2000 to 2024. The … …Journal of Computer Science, Vol. 21, Issue 12 · 20 Jan 2026 · 1,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractIris Recognition Using Gauss Laplace FilterRomany F. MansourBiometrics deals with recognition of individuals based on their behavioral or biological features. The recognition of IRIS is one of the newer techniques of biometrics used for personal identification. It is one of the most widely used and reliable technique of biometrics. In this study a novel approach is presented for IRIS recognition. The proposed approach uses Gauss Laplace filter … …American Journal of Applied Sciences, Vol. 13, Issue 9 · 15 Sep 2016 · 7,421 accessesView PDFCite
Research ArticleOpen accessIn the abstractDATABASE REPLICATION IN HETEROGENOUS PLATFORMHendro Nindito, Evaristus Didik Madyatmadja, Albert Verasius Dian SanoThe application of diverse database technologies in enterprises today is increasingly a common practice. To provide high availability and survavibality of real-time information, a database replication technology that has capability to replicate databases under heterogenous platforms is required. The purpose of this research is to find the technology with such capability. In this research, the data source is stored in … …American Journal of Applied Sciences, Vol. 11, Issue 8 · 3 Jul 2014 · 6,922 accessesView PDFCite
Research ArticleOpen accessIn the abstractFREQUENT CORRELATED PERIODIC PATTERN MINING FOR LARGE VOLUME SET USING TIME SERIES DATAG. M. Karthik, S. KarthikFrequent pattern mining has been a widely used in the area of discovering association and correlations among real data sets. However, discovering interesting correlation relationship among huge number of co-occurrence patterns are complicated, a majority of them are superfluous or uninformative. Mining correlations among large pile of useless information is extraordinarily useful in real-time applications. In this study, we propose … …Journal of Computer Science, Vol. 10, Issue 10 · 30 Jun 2014 · 6,608 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMPARISION OF VARIOUS EDGE DETECTION TECHNIQUES IN MOTION PICTURE FOR IDENTIFYING A SHARK FISHShrivakshan Gopal Thiruvangadan, Chelliah ChandrasekarThe significant feature of detecting the motion image objects in this study it try identify the shark fish videos by removing the Background of the image. The main method involved in the detecting from the background is the foreground detection of the image. There are many techniques which usually ignore the fact that the background images consist of different image … …Journal of Computer Science, Vol. 9, Issue 11 · 18 Sep 2013 · 6,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Bayesian Nearest Neighbor Search Using Marginal Object Weight Ranking Scheme in Spatial DatabasesK. Balasaravanan, K. DuraiswamyProblem statement: A database that is optimized to store and query data that is related to objects in space, including points, lines and polygons is called spatial database. Identifying nearest neighbor object search is a vital part of spatial database. Many nearest neighbor search techniques such as Authenticated Multi-step NN (AMNN), Superseding Nearest Neighbor (SNN) search, Bayesian Nearest Neighbor (BNN) … …Journal of Computer Science, Vol. 8, Issue 8 · 30 Jul 2012 · 7,149 accessesView PDFCite
Research ArticleOpen accessIn the abstractContent Based Medical Image Retrieval with Texture Content Using Gray Level Co-occurrence Matrix and K-Means Clustering AlgorithmsB. Ramamurthy, K. R. ChandranProblem statement: Recently, there has been a huge progress in collection of varied image databases in the form of digital. Most of the users found it difficult to search and retrieve required images in large collections. In order to provide an effective and efficient search engine tool, the system has been implemented. In image retrieval system, there is no methodologies … …Journal of Computer Science, Vol. 8, Issue 7 · 24 May 2012 · 7,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch of an Online Service System for Beverages Chain StoresChih-Yao Lo, Cheng-I Hou, Hsin-Chia Hsu, Chiu-Ping YouProblem statement: In the highly competitive market, the availability of consumer support is the key to market-based beverage stores. Consumer demands for quality service so the industry must be more active to improve the quality of management to ensure that beverage market position. In order to allow market competition to be improved for the beverage store. Approach: The system builds … …American Journal of Applied Sciences, Vol. 8, Issue 7 · 24 Jun 2011 · 7,051 accessesView PDFCite
Research ArticleOpen accessIn the abstractIris Recognition Without Iris NormalizationLenina Birgale, M. KokareProblem statement: In any real time biometric system processing speed and recognition time are crucial parameters. Reducing processing time involves many parameters like normalization, FAR, FRR, management of eyelid and eyelash occlusions, size of signature etc. Normalization consumes substantial amount of time of the system. This study contributes for improved iris recognition system with reduced processing time, False Acceptance Rate … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,807 accessesView PDFCite