These days, data mining one of the most significant issues. One field data mining is a mixture of computer science and statistics which is considerably limited due to increase in digital data and growth of computational power of computer. One of the domains of data mining is the software cost estimation category. In this article, classifying techniques of learning algorithm of machine ...

Basically, medical diagnosis problems are the most effective component of treatment policies. Recently, significant advances have been formed in medical diagnosis fields using data mining techniques. Data mining or Knowledge Discovery is searching large databases to discover patterns and evaluate the probability of next occurrences. In this paper, Bayesian Classifier is used as a Non-linear dat...

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...