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23 results for “Data cleaning”
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Research ArticleOpen accessIn the abstractBond Strength of Bioactive vs. Conventional Resin Composites on Dentin Cleaned with Ozonated Water: An In Vitro StudyFernanda Rafaela Ribeiro, Anna Caroliny Detogni, Julio Katuhide Ueda et al.This study aimed to compare the micro tensile bond strength (μTBS) of bioactive and conventional resin composite to human dentin after the use of ozonated water (AO) as a cavity cleaning solution. A total of 32healthy human third molars were randomly assigned to four groups (n = 8)based on the type of composite and dentin cleaning. The first group received … …Current Research in Dentistry, Vol. 16, Issue 1 · 9 Jun 2025 · 6,312 accessesView PDFCite
Research ArticleOpen accessIn the abstractBig Data Framework for Predicting Infectious Diseases to Improve Healthcare by Discovering New Symptom PatternsAmal Mohamed Mounir, Mohamed Ibrahim Marie, Laila Abd-ElhamidThe utilization of big data in infectious disease control represents a captivating opportunity, as these novel data streams offer the potential to enhance the timeliness of preventive measures. Various healthcare providers in both the public and private sectors generate, store, and analyse extensive datasets to enhance the quality of services they deliver. Recently, the outbreak of the new coronavirus, COVID-19, … …Journal of Computer Science, Vol. 20, Issue 10 · 2 Aug 2024 · 4,915 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Adaptive Data Preprocessing Framework for Improved Learning: A Case Study of Tangier Container TerminalMostafa Al Uahabi, Hicham Attariuas, Mohammed Saleh, Mohamed ChentoufContainer terminals are critical nodes within the maritime transportation system that have a vital function in global merchandise trade, handling a significant volume of cargo through the use of various equipment and personnel. Thus, the efficiency of container terminal operations relies heavily on the ability to collect, analyze, and utilize operational data. However, such data can be corrupted by noise, … …Journal of Computer Science, Vol. 20, Issue 3 · 25 Jan 2024 · 5,585 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,992 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Systematic Literature Review for Implementing Data Ops in the Data Warehouse Lifecycle during the ETL PhaseAhmed Bahaa, Sherif Ragab Eldemerdash, Hanan FahmyNowadays, no one can deny the importance of Data Ware House (DWH) in all organizations. The most important components in Data Ware House (DWH) are the Extraction, Transformation, Loading (ETL) phase. Data cleaning is a basic piece of the transformation stage in Data Warehousing. This may affect critical activities such as data collection and decision-making in various organizations Data Ops … …Journal of Computer Science, Vol. 17, Issue 11 · 10 Nov 2021 · 7,547 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Preparation in Machine Learning for Condition-based MaintenanceOns Masmoudi, Mehdi Jaoua, Amel Jaoua, Soumaya YacoutUsing Machine Learning (ML) prediction to achieve a successful, cost-effective, Condition-Based Maintenance (CBM) strategy has become very attractive in the context of Industry 4.0. In other fields, it is well known that in order to benefit from the prediction capability of ML algorithms, the data preparation phase must be well conducted. Thus, the objective of this paper is to investigate … …Journal of Computer Science, Vol. 17, Issue 6 · 4 Jun 2021 · 8,412 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 · 7,630 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization Techniques To Record DeduplicationDeepa Karunakaran, Rangarajan RangaswamyDuplicate record detection is important for data preprocessing and cleaning. Artificial Bee Colony (ABC) is one of the most recently introduced algorithms based on the intelligent foraging behavior of a honey bee swarm. Our approach to duplicate detection is the use of ABC algorithm for generating the optimal similarity measure to decide whether the data is duplicate or not. In … …Journal of Computer Science, Vol. 8, Issue 9 · 11 Aug 2012 · 7,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractBACTERIAL ISOLATES OF MARINE COAST AS COMMERCIAL PRODUCER OF PROTEASES. Das, I. Mukherjee, M. Sudarshan et al.The objective of this work was to explore and exploit the extracellular protease secreting marine microbial biodiversity of the eastern coastal region of India. Culture dependent method was applied for isolation of microbes from the marine coast of West Bengal (Digha and Mandarmani) and Andhra Pradesh (Vizag) in India. Six protease secreting isolates were screened using casein hydrolysing property as … …OnLine Journal of Biological Sciences, Vol. 12, Issue 3 · 8 Aug 2012 · 8,795 accessesView PDFCite