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For the high flow season, main changes on water quality were characterized by an inverse relation of NTU and TSS with electrical conductivity (EC) and chlorides (Cl), followed by sources of agricultural pollution. To complement the MV analysis, DM techniques like cluster analysis (CA) and classification (CLA) was applied and to assess the quality of the water for drinking, a WQI.<\/jats:p>","DOI":"10.4018\/ijaeis.2018040101","type":"journal-article","created":{"date-parts":[[2018,3,22]],"date-time":"2018-03-22T14:26:22Z","timestamp":1521728782000},"page":"1-19","source":"Crossref","is-referenced-by-count":2,"title":["Statistical and Data Mining Techniques for Understanding Water Quality Profiles in a Mining-Affected River Basin"],"prefix":"10.4018","volume":"9","author":[{"given":"Jose","family":"Simmonds","sequence":"first","affiliation":[{"name":"Universidad Carlos III de Madrid, Legan\u00e9s, Spain"}]},{"given":"Juan A.","family":"G\u00f3mez","sequence":"additional","affiliation":[{"name":"Universidad de Panam\u00e1, Panama City, Panama"}]},{"given":"Agapito","family":"Ledezma","sequence":"additional","affiliation":[{"name":"Universidad Carlos III de Madrid, Legan\u00e9s, Spain"}]}],"member":"2432","reference":[{"key":"IJAEIS.2018040101-0","author":"P. 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