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240 articles for “Data Mining (DM)”
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Review ArticleOpen accessEvery word in the titleA 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 · 8,066 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Data Mining Model for Students’ Choice of College Major Based on Rough Set TheoryLuai Al-ShalabiLiterature is focusing on identifying factors that influence students’ initial choice of major and few have studied students’ involvements after registration in a selected major and this study is one of the few. This study aims to determine the important factors that influence high school students’ choice of major based on data mining techniques. A questionnaire was designed to collect … …Journal of Computer Science, Vol. 15, Issue 8 · 22 Aug 2019 · 7,831 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCloud Based Low Cost Retinal Detachment Screening Method Using Data Mining TechniquesMahmoud A. Fakhreldin, Ahmed F. SeddikThe Electro-Oculogram (EOG) signal can be used for detecting the normality of the eye retina. A number of advantages including the flexibility of the recoding process for EOG signals have encouraged insight into EOG based research. This study proposes a new cloud based retinal detachment screening technique based on data mining techniques to diagnose the type of eye retina. The … …Journal of Computer Science, Vol. 13, Issue 11 · 5 Oct 2017 · 6,833 accessesView PDFCite
EditorialOpen accessEvery word in the titleData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,762 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFROM DATA MINING AND KNOWLEDGE DISCOVERY TO BIG DATA ANALYTICS AND KNOWLEDGE EXTRACTION FOR APPLICATIONS IN SCIENCESubana Shanmuganathan"Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big data". The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams, noisy, structured/unstructured … …Journal of Computer Science, Vol. 10, Issue 12 · 20 Jan 2015 · 8,743 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEPIDEMIOLOGICAL STUDY: LABORATORY DATA MINING IN SOUTH OF JORDANHani Nawafleh, Amir M. Al Hroob, Mariam M. Kawafha, Khalil I AltaifIntroduction: To determine the prevalence of parasitic infection among the population of Ma’an governorate. Methodology: A retrospective data mining of retrieved and analysis laboratory stool specimens records of patients seen in Ma’an Hospital (in different specialties) during the period 1st January 2009 to 31 December 2009 were carried out for the detection of intestinal parasites. Results:-1999 Stool samples were examined; … …American Journal of Infectious Diseases, Vol. 10, Issue 3 · 18 Oct 2014 · 7,155 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleITERATIVE DICHOTOMISER-3 ALGORITHM IN DATA MINING APPLIED TO DIABETES DATABASEP. VasudevanIn this study, eight major factors playing significant role in the Pima Indian population are analyzed. Real time data is taken from the large dataset of National Institute of Diabetes and Digestive and Kidney Diseases. The data is subjected to an analysis by logistic regression method using SPSS 7.5 statistical software, to isolate the most significant factors among the eight … …Journal of Computer Science, Vol. 10, Issue 7 · 15 Feb 2014 · 7,082 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleResearch Proposal: An Intrusion Detection System Alert Reduction and Assessment Framework Based on Data MiningKarim Al-Saedi, Selvakumar Manickam, Sureswaran Ramadass et al.The Intrusion Detection System (IDS) generates huge amounts of alerts that are mostly false positives. The abundance of false positive alerts makes it difficult for the security analyst to identify successful attacks and to take remedial actions. Such alerts to have not been classified in accordance with their degree of threats. They further need to be processed to ascertain the … …Journal of Computer Science, Vol. 9, Issue 4 · 8 May 2013 · 7,712 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSecured Disclosure of Sensitive Data in Data Mining TechniquesKirubhakar Gurusamy, Venkatesh ChakrapaniRecent advances in data collection, data dissemination and related technologies have inaugurated a new era of research where existing data mining algorithms should be reconsidered from the point of view of securing sensitive data. People have become increasingly unwilling to share their data. This frequently results in individuals either refusing to share their data or providing incorrect data. In turn, … …Journal of Computer Science, Vol. 8, Issue 12 · 18 Dec 2012 · 6,484 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSteel Plates Faults Diagnosis with Data Mining ModelsMahmoud Fakhr, Alaa M. ElsayadProblem statement: Over the last two decades, Fault Diagnosis (FD) has a major importance to enhance the quality of manufacturing and to lessen the cost of product testing. Actually, quick and correct FD system helps to keep away from product quality problems and facilitates precautionary maintenance. FD may be considered as a pattern recognition problem. It has been gaining more … …Journal of Computer Science, Vol. 8, Issue 4 · 31 Jan 2012 · 11,383 accessesView PDFCite