This is the second volume of the Advances in Data Warehousing and Mining (ADWM) book series. ADWM publishes books in the areas of data warehousing and mining. The topic of this volume is data mining and knowledge discovery. This volume consists of 14 chapters in four section, contributed by authors and editorial board members from the International Journal of Data Warehousing and Mining, as wel...

Data mining is an emerging field of study in Information Systems programs. Although the course content has been streamlined, the underlying technology is still in a state of flux. The purpose of this paper is to describe how we utilized Microsoft Excel’s data mining add-ins as a front-end to Microsoft’s Cloud Computing and SQL Server 2008 Business Intelligence platforms as backends to teach a s...

in the past, mining activities have generated major acid drainage sources, which usually carry dissolved metals that flow into the main rivers of the affected basins. the study looks at natural attenuation processes in local, sub-basin and basin areas, in the el bierzo and odiel basins of spain, where coal and metal mining activities were formerly conducted. in this study, sampling and in situ ...

The Appalachian region of USA hosts diverse forests and abundant high-quality coal reserves. Surface mining methods are often used for coal extraction. Because common reclamation methods in past years have not restored forest vegetation, surface mining has created a diverse land base. Although some mined lands have been placed into managed uses, most have not. Little is known about the extent a...

PURPOSE The purpose of this study was to test whether population mortality rates from heart, respiratory and kidney disease were higher as a function of levels of Appalachian coal mining after control for other disease risk factors. METHODS The study investigated county-level, age-adjusted mortality rates for the years 2000-2004 for heart, respiratory and kidney disease in relation to tons of...

Pattern discovery has been the center of attention of data mining research for a long time, with patterns languages varying from simple to complex, according to the needs of the applications and the format of data. In this talk, I will take a view on pattern mining that combines elements from neighboring areas. More specifically, I will describe our previous research work in the intersection of...

in this paper are present the results of measurements of magnetic induction at some locationsin city bor (the east serbia) dating from the household electric devices and transformer stations suited near the residental areas. stress is on the extremely low frequent electromagnetic radiation from transformer stations and other high voltage instalations in urban areas. risk of the extremely low fr...

Data mining is used to extract useful information from the large amount of data. It is used to implement and solve different types of research problems. The research related areas in data mining are text mining, web mining, image mining, sequential pattern mining, spatial mining, medical mining, multimedia mining, structure mining and graph mining. Text mining also referred to text of data mini...

This paper focuses on the application of Spatial Data mining Techniques to efficiently manage the challenges faced by peripheral rural areas in analyzing and predicting market scenario and better manage their economy. Spatial data mining is the task of unfolding the implicit knowledge hidden in the spatial databases. The spatial Databases contain both spatial and non-spatial attributes of the a...

Taking Renjiazhuang coal mine as the object of study, this paper carries on evaluation to destruction degree in this area by using extension theory and establishing evaluation extension model of land destruction in mining area. Results show that severe destruction area of collapse land in Renjiazhuang coal mine is 112.86hm, moderate destruction area is 372.27hm, light destruction area is 723.42...