Research ArticleOpen accessEvery word in the titleA Novel Technique for Web Log mining with Better Data Cleaning and Transaction IdentificationJ. Vellingiri, S. Chenthur PandianProblem statement: In the internet era web sites on the internet are useful source of information for almost every activity. So there is a rapid development of World Wide Web in its volume of traffic and the size and complexity of web sites. Web mining is the application of data mining, artificial intelligence, chart technology and so on to the … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,889 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleData Replication Using Read-One-Write-All Monitoring Synchronization Transaction System in Distributed EnvironmentNoraziah Ahmad, Ahmed N. Abdalla, Roslina Mohd SidekNowadays, the demand of transmitted information over networks increase rapidly and the demand for steady bandwidth seems to be out of control. Particularly organizations need to provide updated data to users that might be geographically remote and handling a vast amount of requested data distributed in multiple sites. Problem statement: Replication in distributed environment has become increasingly popular due to … …Journal of Computer Science, Vol. 6, Issue 10 · 30 Jul 2010 · 7,048 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIMPROVING DATA AVAILABILITY IN MOBILE ENVIRONMENT USING DATA ALLOCATIONMoaiad Ahmad Khder, Zulaiha Ali Othman, Abdullah Mohd Zin, Salha AbdullahData distribution is one of the crucial issues in Data Base Management Systems (DBMS) in general and in Mobile environment in Particular. It is important because, if not properly managed, it will cause reduction in data availability, which in turn causes more rejections in transactions. Replication algorithms (e.g., CCM) are used to improve data availability. However, the database replication algorithms … …Journal of Computer Science, Vol. 9, Issue 8 · 5 Jul 2013 · 6,860 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBusiness-to-Business: The Salesperson's DilemmaGopala Ganesh, Somjit BaratProblem statement: There is a lack of research on B2B e-commerce, especially involving input from B2B executives. To bridge that gap, we investigate whether (1) buyers and sellers differ significantly in their preference for traditional over the online purchase method across different products and across different purchase criteria and whether (2) buyers prefer the traditional over the online method across … …American Journal of Economics and Business Administration, Vol. 3, Issue 3 · 16 Sep 2011 · 7,629 accessesView PDFCite
Research ArticleOpen accessIn the keywordsNovel Mechanism Control Algorithm for Wired NetworkV. B. Kirubanand, S. PalaniammalProblem statement: A critical issue in wireless network where the data can hack by the person and we add a novel encryption mechanism to protect the data transfer from client to server and vice versa. Approach: We present a queuing model of a client and server that uses for bulk arrival service. The arrival of data requests is assumed to … …Journal of Computer Science, Vol. 7, Issue 9 · 27 Jul 2011 · 6,651 accessesView PDFCite
Research ArticleOpen accessIn the keywordsMemory Storage Issues of Temporal Database Applications on Relational Database Management SystemsSami M. Halawani, Nashwan A. Al-RomemaProblem statement: Many existing database applications manage time-varying data. These database applications are referred to as temporal databases or time-oriented database applications that are considered as repositories of time-dependent data. Many proposals have been introduced for developing time-oriented database applications, some of which suggest building support for Temporal Database Management Systems (TDBMS) on top of existing non-temporal DBMSs, while others … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 7,731 accessesView PDFCite
Research ArticleOpen accessIn the abstractProbabilistic Learning Models for Secure E-Commerce Transaction AnalysisAnanth Maria Pushpa, S. SubramaniaanThe tremendous expansion of e-commerce requires well-developed security mechanisms of transactions coupled with cryptography systems. This paper explores how probabilistic learning algorithms can be used to promote fraud and transaction validation in e-commerce systems that are cryptographically secured. A study compared different machine learning models to analyze retail data, including Naïve Bayes, Bayes Network, and Logistic learning. The results showed … …Journal of Computer Science, Vol. 22, Issue 11 · 20 Oct 2026 · 506 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain-Enabled Privacy-Preserving Access Control for Electronic Health Records Using Smart ContractsG. Bhanu Prasad, M. Venkateswara RaoElectronic medical records are crucial for providing high-quality healthcare, but they also raise serious privacy and security issues. Traditional centralised storage systems are vulnerable to manipulation, hacking, and illegal access. This study suggests a smart contract-based blockchain architecture that provides decentralised, unaltered, and privacy-preserving access control for EMRs. The model integrates cryptographic techniques like AES-256 encryption and SHA-256 hashing for … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,306 accessesView PDFCite
Research ArticleOpen accessIn the abstractSEAchain: A Privacy-Preserving Dual-Credential Model on BlockchainS. Balachander, A. MuruganAll facets of daily life are now impacted by transaction data. The complex and heterogeneous network created by millions of users, devices, online services, and applications makes digital identity management more difficult. Users can maintain control over their personal information via distributed identity, a potentially useful model for resolving identity issues. Nevertheless, current state-of-the-art techniques are inappropriate because of persistent … …Journal of Computer Science, Vol. 22, Issue 5 · 25 May 2026 · 1,310 accessesView PDFCite
Research ArticleOpen accessIn the abstractMoney Laundering Detection in Financial Institutions Using Machine LearningNoor Samer Masood, Rasha Hassan Sakr, Amal Abou EleneenThis research aims to develop a system based on machine learning techniques for the accurate detection and classification of money laundering transactions. This system utilizes real and synthetic financial data, including the IBM AML dataset and synthetic financial databases. The methodology included data collection and cleaning, feature extraction from transaction behavior, and training several classification algorithms, including Random Forest, Support … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 2,325 accessesView PDFCite