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56 articles for “Log data”
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Research ArticleOpen accessPhrase in the titleLog data Approach to Acquisition of Optimal Bayesian Learner ModelChoo-Yee Ting, Somnuk Phon-AmnuaisukLog data provide valuable insight into observable behavioural patterns, which could be inferred to study a learner’s cognitive processes, levels of motivation and levels of knowledge acquisition. To date, most of the research work has been devoted to study the different methods to analyze and interpret log data. Little attention, however, has been given to use log data as a … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 7,082 accessesView PDFCite
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 · 6,892 accessesView PDFCite
Research ArticleOpen accessIn the abstractAlternative Monitoring Approach for IPTVAngel Ignatov, Hristo Toshkov Hristov, Jan Latal et al.IPTV emerged in the late 1990s as a solution for delivering Video on Demand (VoD) and live television over managed networks. Its widespread adoption accelerated after the expansion of broadband internet and the introduction of web technologies such as HTML5 and adaptive streaming protocols (MPEG-DASH and HLS), which enabled television content to be streamed directly through web browsers. Across Europe, … …Journal of Computer Science, Vol. 22, Issue 11 · 8 Oct 2026 · 438 accessesView PDFCite
Research ArticleOpen accessIn the abstractTime Series Analysis for Predicting Tea Harvest Yield: A SARIMAX-Based ApproachPallavi Nagpal, Deepika Chaudhary, Jaiteg SinghPrecise prediction of tea yield is crucial for both agricultural planning and economic forecasting. Projection of the future trends, which rely on present and historical data, is the process termed 'forecasting'. Yield prediction is fundamental for research and development. By gathering the yield data over historic times, the researchers can make their work more valuable by predicting the yield patterns. … …Journal of Computer Science, Vol. 22, Issue 2 · 19 Feb 2026 · 1,900 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Database Availability: A Combined Approach Using SQL Always on Failover Cluster Instance and Availability GroupsFaisal Rahman, Benfano SoewitoDatabase availability is a critical factor in supporting business processes to ensure uninterrupted operations. When the production server experiences failures, data may become inaccessible, disrupting business operations. To mitigate this risk, separating the production server from the reporting server is essential. However, this approach introduces challenges related to data synchronization and automatic failover during system failures. Existing High Availability (HA) … …Journal of Computer Science, Vol. 21, Issue 6 · 20 Jun 2025 · 4,259 accessesView PDFCite
Research ArticleOpen accessIn the abstractBridging Innovation and Access: Randomized, Single-Dose, Open-Label, Parallel-Group Bioequivalence Study of Generic and Innovator Injection Semaglutide in IndiaMayur Madhav Mayabhate, Nitin Kapure, Akhilesh Sharma, Radhakrishna VaddemSemaglutide, a long-acting Glucagon-Like Peptide-1 (GLP-1) receptor agonist, is effective in improving glycemic control, reducing body weight, and lowering cardiovascular risk in Type 2 Diabetes Mellitus (T2DM). Limited accessibility of the innovator formulation underscores the need for bioequivalent generic alternatives. To assess the pharmacokinetic bioequivalence of a synthetic Semaglutide Injection (2 mg/1.5 mL) developed by Alkem Laboratories Ltd., India, compared … …American Journal of Pharmacology and Toxicology, Vol. 20, Issue 1 · 20 Apr 2026 · 2,637 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalytical Fractured Reservoir Characterization by using Geological and Petrophysical LogsZohreh Movahed, Farzaneh AghajariDue to structural complexities in some wells, higher than the expected thickness of the Asmari formation is found. Fracture intensity and deep-rooted fractures broadly increase the risk of unpredictable water production. The well-test analysis is not sufficient in describing fracture properties. Unfortunately, the core condition is poor in the fractured zones and cannot be used to provide reliable information. So, … …Current Research in Geoscience, Vol. 12, Issue 1 · 3 Dec 2022 · 9,932 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Blockchain-Enabled Scalable Network Log Management SystemMohammad Habibullah Rakib, Showkot Hossain, Mosarrat Jahan, Upama KabirLog data is an essential tool to identify the footprint of unauthorized activities executed in a network system. Hence, a compact storage mechanism is required for the massive volume of log data to protect them from malicious tampering attacks. In this regard, Blockchain (BC) has been used to design tamper-proof storage of log records. However, the existing BC-based solutions cannot … …Journal of Computer Science, Vol. 18, Issue 6 · 15 Jun 2022 · 7,181 accessesView PDFCite
Research ArticleOpen accessIn the abstractKinetostatics of a 2T9R Robot MechanismFlorian Ion Tiberiu Petrescu, Adriana ComanescuThe paper presents in detail a method of calculating the forces acting on a 2T9R type robot. In order to determine the reactions (forces in the kinematic couples), one must first determine the inertial forces in the mechanism to which one or more useful loads of the robot can be added. The torsor of the inertia forces is calculated with … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 1 · 12 Feb 2022 · 6,908 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnomaly Detection Algorithms for Streaming Data: Performance ComparisonZirije HasaniToday’s most of the data are streaming time-series data, where is very important anomaly detection over this data because gives significant information of possible critical situations. Detecting anomalies in big streaming data is yet difficult task because we have to process them in real time, even before they are stored and instantly alarm on potential threats. For real time streaming … …Journal of Computer Science, Vol. 16, Issue 7 · 18 Jul 2020 · 7,296 accessesView PDFCite