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56 articles for “Log data”
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Research ArticleOpen accessIn the abstractModeling Positive Time Series Data: A Neglected Aspect in Time Series CoursesMaman A. Djauhari, Lee Siaw Li, Rohayu Mohd SallehSomething has been forgotten in time series courses, in particular, when dealing with positive datasets. To describe the pattern hidden in this type of datasets, before we use a sophisticated method of modeling such as Autoregressive Integrated Moving Average (ARIMA), we propose to check first whether the data represent a Geometric Brownian Motion (GBM) process. If it is affirmative, unlike … …American Journal of Applied Sciences, Vol. 13, Issue 7 · 1 Jul 2016 · 7,536 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeobody Architecture and Petroleum Potential of the Yowi Field, Offshore Eastern Niger Delta, NigeriaPrince Suka Momta, Minapuye Isaac OdigiA study on geobody architecture and petroleum potential of the Yowi Field has been carried out by integrating well logs and 3D seismic data. The objectives of this study include: The determination of the lateral continuity of key horizons; identification of gross geobody distribution and architecture; and the petroleum potential of the field. Well log correlation shows that key horizons … …Current Research in Geoscience, Vol. 6, Issue 1 · 16 Dec 2015 · 7,675 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling the Error Term by Moving Average and Generalized Autoregressive Conditional Heteroscedasticity ProcessesAyodele Abraham Agboluaje, Suzilah bt Ismail, Chee Yin YipThis study has been able to reveal that the Combine White Noise model outperforms the existing Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and Moving Average (MA) models in modeling the errors, that exhibits conditional heteroscedasticity and leverage effect. MA process cannot model the data that reveals conditional heteroscedasticity and GARCH cannot model the leverage effect also. The standardized residuals of GARCH … …American Journal of Applied Sciences, Vol. 12, Issue 11 · 20 Nov 2015 · 6,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractSedimentology and Depositional Environment of D2 Sand in Part of Greater Ughelli Depobelt, Onshore Niger Delta, NigeriaPrince Suka Momta, Jonathan O. Omoboh, Minapuye I. OdigiThe sedimentology and depositional environment of D2 sand in part of the Greater Ughelli depobelt have been studied using well logs and core data. Three wells were correlated to establish the lateral continuity of the D2 sand across the field and standard gamma ray log trends was used to infer depositional environments. Cored section of well B was described to … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 4 · 19 Sep 2015 · 8,592 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Approach for User Navigation Pattern Discovery and Analysis for Web Usage MiningJ. Vellingiri, S. Kaliraj, S. Satheeshkumar, T. ParthibanWebsites on the internet are useful source of information in our day-to-day activity. Web Usage Mining (WUM) is one of the major applications of data mining, artificial intelligence and so on to the web data to predict the user's visiting behaviours and obtains their interests by analyzing the patterns. WUM has turned out to be one of the considerable areas … …Journal of Computer Science, Vol. 11, Issue 2 · 17 Sep 2014 · 7,633 accessesView PDFCite
Research ArticleOpen accessIn the abstractLENGTH BIASED BETA-PARETO DISTRIBUTION AND ITS STRUCTURAL PROPERTIES WITH APPLICATIONNareerat Nanuwong, Winai BodhisuwanThe concept of length biased distribution can be employed in development of proper models for lifetime data. Its method is adjusting the original probability density function from real data and the expectation of those data. This adjustment can bring about to correct conclusions of models. Therefore, we introduced the Length Biased Beta-Pareto (LBBP) distribution, so-called a new generalized of Pareto … …Journal of Mathematics and Statistics, Vol. 10, Issue 1 · 11 Jan 2014 · 7,242 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETECTING ABNORMAL BEHAVIOR IN SOCIAL NETWORK WEBSITES BY USING A PROCESS MINING TECHNIQUEMahdi Sahlabadi, Ravie Chandren Muniyandi, Zarina ShukurDetecting abnormal user activity in social network websites could prevent from cyber-crime occurrence. The previous research focused on data mining while this research is based on user behavior process. In this study, the first step is defining a normal user behavioral pattern and the second step is detecting abnormal behavior. These two steps are applied on a case study that … …Journal of Computer Science, Vol. 10, Issue 3 · 22 Nov 2013 · 7,920 accessesView PDFCite
Research ArticleOpen accessIn the abstractFast Real Time Analysis of Web Server Massive Log Files using an Improved Web Mining ArchitectureC. Kavitha, Ramesh RajamanickamThe web has played a vital role to detect the information and finding the reasons to organize a system. As the web sites were increased, the web log files also increased based on the web searching. Our challenge and the task are to reduce the log files and classify the best results to reach the task which we used. Aimed … …Journal of Computer Science, Vol. 9, Issue 6 · 6 Jun 2013 · 6,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractCollecting Data from Running SystemsJess Nielsen, Sufyan AlmajaliThis article describes a way to build a consolidated log that can be used to facilitate the state of Windows services at runtime. It makes a side by side introduction of code instrumentation techniques and autonomic techniques that can be used to collected data from running systems in order to construct a consolidated log. The techniques try to deal with … …Journal of Computer Science, Vol. 9, Issue 1 · 12 Feb 2013 · 7,438 accessesView PDFCite
Research ArticleOpen accessIn the abstractToward a Hierarchical Bayesian Framework for Modelling the Effect of Regional Diversity on Household ExpenditurePudji Ismartini, Nur Iriawan, Setiawan, Brodjol Sutijo Supri UlamaProblem statement: Household expenditure analysis was highly demanding for government in order to formulate its policy. Since household data was viewed as hierarchical structure with household nested in its regional residence which varies inter region, the contextual welfare analysis was needed. This study proposed to develop a hierarchical model for estimating household expenditure in an attempt to measure the effect … …Journal of Mathematics and Statistics, Vol. 8, Issue 2 · 25 Jun 2012 · 7,309 accessesView PDFCite