Information Technology (IT) can help mining organizations by building in efficiencies to improve productivity, reduce costs and maximize profits. IT does this by providing relevant technologies and applications to equip organizations with the intelligence to improve processes, reap business benefits and remain globally competitive. Two specific technology areas that can help address some of the...

Over the past few decades, data mining has emerged as a field of research critical to understanding and assimilating the large stores of data accumulated by corporations, government agencies, and laboratories. Early on, mining algorithms and techniques were limited to relational data sets coming directly from Online Transaction Processing (OLTP) systems, or from a consolidated enterprise data w...

Currently statistical and artificial neural network methods dominate in financial data mining. Alternative relational (symbolic) data mining methods have shown their effectiveness in robotics, drug design and other applications. Traditionally symbolic methods prevail in the areas with significant nonnumeric (symbolic) knowledge, such as relative location in robot navigation. At first glance, st...

In the early 1990s some sectors of the computer science community were developing the idea of data understanding as a discovery-driven, systematic and iterative process. This "data mining" research and development area was expected to take advantage of the expansion and consolidation of machine learning methodologies together with the integration of traditional statistical analysis and database...

Human activities on the Earth's surface change the landscape of natural ecosystems. Mining practices are one of the most severe human activities, drastically altering the chemical, physical and biological properties of the soil environment. Bacterial communities in soil play an important role in the maintenance of ecological relationships. This work shows bacterial diversity, metabolic repertoi...

This paper takes an overview of the web mining concept and how it can be useful and beneficial to the business improvement by facilitating its applications in various areas over the internet. The contribution of this paper is towards the various areas containing web sites on internet, which can make best use of different web mining techniques to improve their business decisions based on the use...

One of the most motivating areas of research is data mining that becomes continuously popular in supermarket analysis. For discovering new trends mining plays an important role in supermarket analysis which is helpful for all parties associated with this field. The process of data mining is to extract data by automatic or semi-automatic means. Data mining consists of artificial intelligence, ma...

Data mining is the process that extracts classifies andanalyzes valid and useful information from large volumes of dataprovided by multiple sources. The data mining has been widelyapplied into various areas, one of which is to investigate potentialsecurity threats. In the literature, various data mining techniquessuch as classification and clustering have been proposed to detectintrusions, DoS ...