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245 results for “Data Mining”
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Research ArticleOpen accessPhrase in the titleSelf-Organizing Map and Multi-Layer Perceptron Neural Network Based Data Mining To Envisage Agriculture CultivationE. T. Venkatesh, Dr. P. ThangarajStudy on characteristics of soil, to determine the types of crops suitable for cultivation in a particular region can increase the yield to greater extent, which minimizes the expenditures involved in irrigation and application of fertilizers. With the tested techniques available for calibrating the quality of soil and the crops suitable for cultivation in it, it is possible to determine … …Journal of Computer Science, Vol. 4, Issue 6 · 30 Jun 2008 · 6,785 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleData Mining Revealing Recent Microplastics Pollution of Freshwater in ChinaZhuo-Yuan Xie, De-Sheng PeiThis review mainly discusses the characteristics and correlation of microplastics (MPs) in freshwater systems under various geographical environments in China. The distribution and source of MPs are analyzed and their spatial analyses are performed using the GIS method. Besides, the current and future situation of microplastic pollution in China is further evaluated through data mining. Results indicate that recent studies … …American Journal of Environmental Sciences, Vol. 18, Issue 3 · 25 Jun 2022 · 6,085 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleDetection of Rust Emergence in Coffee Plantations using Data Mining: A Systematic ReviewLenin Quiñones Huatangari, Candy Lisbeth Ocaña Zúñiga, Annick Estefany Huaccha Castillo et al.Hemileia vastatrix is a fungus that causes coffee rust disease and, depending on the level of severity, reduces the photosynthetic capacity of the plant and of new shoots, leading to low coffee yields and even death; its symptoms are visible on the leaf. Systems based on computer algorithms have been developed to predict diseases and pests in coffee. The objective … …OnLine Journal of Biological Sciences, Vol. 22, Issue 2 · 31 Mar 2022 · 8,022 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 7,827 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 6,826 accessesView PDFCite
EditorialOpen accessPhrase 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 · 8,756 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 8,740 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 7,153 accessesView PDFCite
Research ArticleOpen accessPhrase 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 · 7,075 accessesView PDFCite