Assessment of the electricity market shows that, electricity market data can be considered "big data". this data has been analyzed by both conventional and modern data mining methods. The predicted variables of supply and demand are considered to be the input of a defined multi-objective for predicting electricity price, which is the result of the defined model. This shows the advantage of appl...

XMLmining is a unique application of data mining, in that it deals with structured XML contents. The introductory paper provides a brief but comprehensive review of milestones towards XML mining. XML mining is not a one-day outcome by chance, but an accumulated inheritance of continuous evolution from data mining throughout text mining and web mining. Furthermore, the paper envisages the applic...

The purpose of the study was to investigate the mineralogical and Heavy Metals (HMs) present in the granite mining soils in Chimakurthy, India. The mineral exploration of mining soils were identified by X-Ray Diffractometer (XRD) pattern analysis. However, the morphological features and quantitative HMs were detected by Scanning Electron Microscopy/Energy Dispersed Spectroscopy (SEM/...

Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. Opinion mining at the feature level is taken into consideration more than the other two levels d...

Gold was obtained through washing or panning of the river sands during initial periods of civilisation. With the advent of knowledge of metallurgical processing of ores it was recovered through mining of in-situ quartz reefs, and then from auriferous sulphide ores. The metal mining activities are evidenced in the form of large number of ‘ancient metal mines’ or ‘old workings’ and ‘placer mining...