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16 articles for “Data Leakage”
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Research ArticleOpen accessIn the keywordsAn Empirical Analysis of Android Permission System Based on User ActivitiesAnkur Rameshbhai Khunt, P. PrabuIn today’s world there has been an exponential growth among smart-phone users which has led to the unbridled growth of smart-phone apps available in Google play store, app store etc., In case of android application, there are many free applications for which the user need not shell out a penny to use the services. Here the magic word is “free” … …Journal of Computer Science, Vol. 14, Issue 3 · 6 Feb 2018 · 80,196 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Cross-Validation Under Concept Drift for Time Series ForecastingKunjira Kingphai, Prapakorn Kanjina, Kamol Sanittham, Wacharong WongsanurakTime-series forecasting often involves non-stationary data, making i.i.d. validation unreliable and fixed-window protocols vulnerable to leakage and biased error estimates. We propose Adaptive Time-Series Cross-Validation (ATSCV), a drift-aware evaluation framework that uses statistical change-point detection to partition each series into contiguous, approximately stationary regimes, followed by forward-chaining folds that respect those boundaries. By aligning train–validation splits with distributional changes (with … …Journal of Computer Science, Vol. 22, Issue 7 · 7 Jul 2026 · 1,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Fraud Detection Methods in Banking Using Machine Learning TechniquesYoussef Tounsi, Ennouri TaziFraud detection in banking requires algorithms that balance classification performance, computational efficiency, and regulatory interpretability, criteria that are rarely benchmarked together. We present a comprehensive evaluation of nine machine learning approaches (Logistic Regression, Decision Tree, Random Forest, SVM, SGD, XGBoost, CatBoost, LightGBM, and MLP) across three datasets differing in size, imbalance severity, and feature type (synthetic, real-world PCA-anonymized, and large-scale … …Journal of Computer Science, Vol. 22, Issue 6 · 22 Jun 2026 · 1,341 accessesView PDFCite
Research ArticleOpen accessIn the abstractLess Biased Approach for Sandstone Pore SegmentationDaffa Abiyyu Murtadha Kurnia, Iman Herwidiana KartowisastroReservoir characterization is a fundamental process in estimating reserves within petroleum and hydrogeological systems, where the precise determination of pore space dictates the validity of fluid flow models. Although X-Ray Computerized Tomography (XRCT) has become the standard non-destructive evaluation method for visualizing the internal structure of rocks, the data interpretation process still faces challenges during the image segmentation stage. Conventional … …Journal of Computer Science, Vol. 22, Issue 6 · 15 Jun 2026 · 1,191 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Toolkit Approach for Carbon Capture and Storage in Offshore Depleted Gas FieldRaj Deo Tewari, Tan Chee Phuat, Mohd Faizal SedaralitFossil fuels are considered a dependable, cost-effective, and efficient energy source and their utilization has resulted in tremendous growth for humanity. However, it has its downside also. Experts are of the view that present energy systems are unsustainable due to their detrimental impacts on the environment. Oil and gas producers are charged that their infrastructure, utilization of materials and technologies … …American Journal of Environmental Sciences, Vol. 19, Issue 1 · 17 May 2023 · 6,196 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Survey of Data Anonymization Techniques for Privacy-Preserving Mining in BigdataHelen Wilfred Raj, Santhi BalachandranBigdata era is seeing the data burst occurring in a multitude of angles that are better expressed in terms of the 4Vs (Volume, Velocity, Velocity, Veracity). While trying to infer information from data, care should be exercised as not to reveal the identity of the data owner, which breaches the privacy rights. Leakage of information can happen right from the … …Journal of Computer Science, Vol. 16, Issue 2 · 31 Dec 2019 · 8,060 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of the Cenozoic Erosion Amount Using Monte Carlo Type-Petroleum Systems Modeling of the Hammerfest Basin, Western Barents SeaKrzysztof Jan Zieba, Matthias Daszinnies, Benjamin Emmel et al.The Cenozoic uplift and erosion is often believed to be a major risk factor in hydrocarbon exploration in the Barents Sea causing petroleum redistribution and leakage from filled traps. Therefore, the estimation of erosion amount is an important but often underrepresented task in the basin modeling procedure. The assessment of erosion magnitudes and spatial distribution by geochemical and thermo chronological … …Current Research in Geoscience, Vol. 4, Issue 2 · 29 Apr 2015 · 8,318 accessesView PDFCite
Research ArticleOpen accessIn the abstractAN IN-DEPTH ANALYSIS ON INTEGRATING CAMPUS RADIO FREQUENCY IDENTIFICATION SYSTEM ON CLOUDS FOR ENHANCING SECURITYZainabRasheed Mirza, Muhammad Nawaz BrohiSeveral measures had been taken to ameliorate security technology at campuses using latest technologies available. Radio Frequency Identification (RFID) technology in campuses is mainly used for recording attendance which is further extended to activity monitoring and individual security. This research paper proposes a framework of RFID integrated solution for enhanced campus IT security including human, campus IT asset traceability, student’s … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractOperational Fault Diagnosis in Industrial Hydraulic Systems Through Modeling The Internal Leakage of its ComponentsP. Athanasatos, D. Koulocheris, T. Costopoulos, K. RaptisIn this study, a model of a high pressure hydraulic system was developed using the bond graph method to investigate the effect of the internal leakage of its main components (pump, cylinder and 4/2 way valve) on the operational characteristics of the system under various loads. All the main aspects of the hydraulic circuit (like the internal leakages, the compressibility … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 7 Nov 2013 · 7,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractEpoxy Insulators’ Lifetime Prediction Implementing Neural Network TechniqueL. S. Nasrat, A. M. IbrahimDue to wide implementation of Epoxy insulators in industrial applications and its economic implications; development of various Epoxy insulator materials has to be evaluated along with a reliable prediction methodology of their lifetimes. In this study, a new methodology based on Artificial-Neural-Networks (ANN) is developed to predict Epoxy insulators lifetime using laboratory measurements of their surface leakage current under accelerated … …American Journal of Engineering and Applied Sciences, Vol. 5, Issue 2 · 7 Aug 2012 · 7,787 accessesView PDFCite