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47 articles for “quality mining”
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Research ArticleOpen accessIn the abstractAnalysis of Leptobarbus hoevenii in Control Environment at Natural LakesMohd Khairul Amri Kamarudin, Mushrifah Idris, Mohd Ekhwan TorimanLeptobarbus hoevenii or its common name Ikan Jelawat is a high-value fish from family Cyprinidae, genus Leptobarbus are omnivorous fish that can grow up to 60 cm long. Due to human activities and the time change, this species has been depleted in Lake Chini. As an initiative from the Malaysian government, a conservation project for this species has been carried … …American Journal of Agricultural and Biological Sciences, Vol. 8, Issue 2 · 24 Jun 2013 · 8,214 accessesView PDFCite
Research ArticleOpen accessIn the abstractRadial Basis Function Network Dependent Exclusive Mutual Interpolation for Missing Value ImputationR. S. Somasundaram, R. NedunchezhianThe success of data mining relies on the purity of the data set. Before performing the data mining, the data has to be cleaned. An unprocessed data set may contain noisy or missing values which is a critical research issue in the pre-processing stage. Imputation methods are being used to solve the missing value problems. In this proposed work, a … …Journal of Computer Science, Vol. 9, Issue 3 · 24 Apr 2013 · 7,002 accessesView PDFCite
Research ArticleOpen accessIn the abstractSteel 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 · 11,378 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopmental Design of Anaerobic Wetland System for Mining Waste Water TreatmentMuhammad Aqeel Ashraf, Mohd. Jamil Maah, Ismail YusoffProblem statement: Tin mining is one of the oldest industries in Malaysia that have started since 1820s. These mining activities have resulted in about 13,700 hectors of tin tailings throughout the peninsula. These tailings have created numerous environmental problems such as threat to natural reserves due to landscape changes, damage to natural drainage, pollution and destruction of natural habitats. Approach: … …American Journal of Environmental Sciences, Vol. 7, Issue 4 · 10 Oct 2011 · 7,509 accessesView PDFCite
Research ArticleOpen accessIn the abstractA framework to Deal with Missing Data in Data SetsLuai A. Shalabi, Mohannad Najjar, Ahmad A. KayedMost information systems usually have some missing values due to unavailable data. Missing values minimizing the quality of classification rules generated by a data mining system. Missing vales also affecting the quantity of classification rules achieved by the data mining system. Missing values could influence the coverage percentage and number of reducts generated. Missing values lead to the difficulty of … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 7,134 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetermination of Lead in Soil along the Highways of KosovaAlbert Maxhuni, Fatmir Faiku, Musaj Pacarizi et al.Problem statement: During recent several decades soil was polluted more and more serious by heavy metals because of mining, smelting, irrigating with sewerage and some other human activities. These heavy metals may adversely affect soil ecology, agricultural production or product quality and ground water quality and will ultimately harm to health of mankind by food chain. Approach: We had analyzed … …American Journal of Environmental Sciences, Vol. 7, Issue 6 · 6 Jan 2012 · 7,077 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersonal Exposure to PM2.5 in the Various Microenvironments as a Traveler in the Southeast Asian CountriesSemih Ozler, Karoline K. Johnson, Michael H. Bergin, James Jay SchauerAir pollution has become a pressing issue in today’s society because of its significant effects on humans, animals, plants, air quality, climate and the wider environment. Most urban areas are associated with one or more air pollutants which are emitted from local or regional pollution sources including vehicle exhausts, fossil fuels using in energy production, emissions from industrial and mining … …American Journal of Environmental Sciences, Vol. 14, Issue 4 · 27 Oct 2018 · 9,274 accessesView PDFCite
Review ArticleOpen accessIn the abstractHealthcare Driven by Big Data AnalyticsCheryl Ann Alexander, Lidong WangText messages and social network posts are often included in big data and are frequently invaluable sources of health data. When machine learning or data mining is used, it is important to perform an automatic process for integrating all available and related health data. Artificial Neural Network (ANN) is one of the machine learning methods flexible in using algorithms to … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 3 · 28 Sep 2018 · 7,398 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Analysis of Auto Dilution Vs Manual Dilution Process in Inductively Coupled Plasma Spectrometer TestsFrederick Rich, M. Affan BadarGregory Poole Equipment Company is the Caterpillar Dealer in eastern North Carolina which sells and services anything that Caterpillar Incorporated manufactures. One value added service provided by this company is fluid analysis. This service consists of 22 separate tests on engine oil, power train lubricants, hydraulic oils, coolants and fuels. One particular test performed in this suite of tests is … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 3 · 17 Aug 2016 · 7,815 accessesView PDFCite
Research ArticleOpen accessIn the abstractFractional Lion Algorithm-An Optimization Algorithm for Data ClusteringSatish Chander, P. Vijaya, Praveen DhyaniClustering divides the data available as bulk into meaningful, useful groups (Clusters) without any prior knowledge about the data. Cluster analysis provides an abstraction from individual data objects to the clusters in which those objects reside. It is a key technique in the data mining and has become an important issue in many fields. This paper presents a novel Fractional … …Journal of Computer Science, Vol. 12, Issue 7 · 12 Aug 2016 · 7,673 accessesView PDFCite