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82 articles for “Mining area”
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Research ArticleOpen accessIn the abstractPollution Risk Analysis of Heavy Metals at Illegal Mining Sites at Atiwa East District, GhanaSamuel Wiafe, Sarah Fanny Hackman Duncan, Boakye Ebenezer, Samuel Yeboah BaakoThis study aims at determining the level of pollution of heavy metals (Cr, Cu and Hg) in the soils of illegal mining sites in Atiwa East District of Ghana. The concentrations of Copper (Cu), Chromium (Cr), and Mercury (Hg) in the soils were determined using Atomic Absorption Spectrometry (AAS). The extent of heavy metal pollution and pollution risk assessment was … …Current Research in Geoscience, Vol. 12, Issue 1 · 2 Jun 2022 · 10,692 accessesView PDFCite
Research ArticleOpen accessIn the abstractPollution Characteristics and Sources Analysis of Soil Heavy Metal in Taoyuan Coal Mine of Suzhou CityHaimin SuSoil is one of the most important resources and an important part of ecosystem in the development of human survival. The purposes of this study are to investigate concentration characteristics and sources analysis of heavy metals in Taoyuan coal mine of Suzhou City. 30 soil samples were collected and characterized for metal concentration (Cd, Cr, Cu, Pb, Zn and As), … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 29 Jan 2022 · 5,914 accessesView PDFCite
Research ArticleOpen accessIn the abstractBaseline Concentrations of 11 Elements as a Function of Land uses in Surface Soils of the Katangese Copperbelt Area (D.R. Congo)Martin T. Mpinda, Tresor N. Kisimba, Theodore M. Mwamba et al.The Katangese Copperbelt Area (KCA) located south-eastern of D.R. Congo presents high concentration of Metal Trace Elements (MTE) due to a rich natural geochemical background and intense mining activities. However, the lack of data on specific baseline concentrations makes it difficult to assess and monitor the environmental quality of soils in the region. In this study, 11 MTE were measured … …American Journal of Environmental Sciences, Vol. 17, Issue 6 · 3 Jan 2022 · 7,126 accessesView PDFCite
Review ArticleOpen accessIn the abstractData 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 accessIn the abstractAn Analysis of Heart Disease for Diabetic Patients Using Recursive Feature Elimination with Random ForestBindushree Doddasiddavanahalli Channabasavaraju, Udayarani VinayakamurthyData Mining Techniques are used in many areas like banking, healthcare, education because of extracting relevant information from the database. Many algorithms in data mining are used to predict the disease to reduce the patient treatment cost as well as increase the diagnosis accuracy. In this research work, the risk level of diabetic heart disease patient can be predicted using … …Journal of Computer Science, Vol. 16, Issue 1 · 27 Jan 2020 · 7,931 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
Review ArticleOpen accessIn the abstractMachine Learning-Based Detection of Credit Card Fraud: A Comparative StudyZainab Khamees Alkhateeb, Abeer Tariq MaoloodOne of the fastest-growing problems with a high impact on the financial sector is financial fraud. Recently, data mining has been identified as one of the effective ways of detecting fraudulent credit card transactions. As a data mining problem, the detection of fraudulent credit card transaction is a challenging task due to the following reasons: (i) The frequent changes in … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 4 · 25 Dec 2019 · 7,780 accessesView PDFCite
Review ArticleOpen accessIn the abstractShort Text Mining: State of the Art and Research OpportunitiesMohamed Grida, Hasnaa Soliman, Mohamed HassanWith the growing number of connected online users producing a tremendous amount of unstructured short-texts daily, understanding and mining these data becomes very useful for individuals, governments and companies for identifying the public users’ attitudes towards different entities, such as products, services, events, places, organizations and topics. However, analyzing these short-texts using traditional methods becomes a significant challenge due to … …Journal of Computer Science, Vol. 15, Issue 10 · 13 Oct 2019 · 8,091 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Wide Scale Classification of Class Imbalance Problem and its Solutions: A Systematic Literature ReviewGillala Rekha, Amit Kumar Tyagi, V. Krishna ReddyIn today’s world, most of the data (real world) is present in imbalanced form by nature. This is because of not having efficient algorithms to put this data (i.e., generated data by billion of internet- connected devices (IoTs)) in respective format. Imbalanced data poses a great challenge to (both) data mining and machine learning algorithms. The imbalanced dataset consists of … …Journal of Computer Science, Vol. 15, Issue 7 · 3 Jul 2019 · 9,372 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnvironmental Pollution by Heavy Metals in the Gold Mining Region of East CameroonDallou Guy Blanchard, Ngoa Engola Louis, Abdourahimi et al.The main objective of this study is to assess the level of heavy metals pollution in soil samples collected around gold mines located in Betaré Oya (BO) and Batouri (BA) in Eastern Cameroon. Elemental analysis of soil samples was carried out using Quant´X EDXRF spectrometer. Its sensitivity and accuracy were increased by using the Fundamental Parameter approach for quantification of … …American Journal of Environmental Sciences, Vol. 14, Issue 5 · 7 Nov 2018 · 9,777 accessesView PDFCite