Association rule mining is one of the most important data mining techniques. Algorithms of this technique search a large space, considering numerous different alternatives and scanning the data repeatedly. Parallelism seems to be the natural solution in order to be able to work with industrial-sized databases. Large-scale computing systems, such as Grid computing environments, are recently rega...

The organization of unstructured data is recognized as one of the major uncertain problems in the information industry and data mining paradigm. It will be in the form of computerized information that moreover, does not have a data model and there are not simply used by data mining. The task of managing unstructured data signifies possibly the major data management opportunity for our community...

Sentiments, evaluations, attitudes, and emotions are the subjects of study of sentiment analysis and opinion mining. The inception and rapid growth of the field coincide with those of the social media on the Web, e.g., reviews, forum discussions, blogs, micro blogs, Twitter, and social networks, because for the first time in human history, we have a huge volume of opinionated data recorded in d...

Data mining is an important research area in computer science. It is a computational process of determining patterns in large data. Image mining is one of important techniques in data mining, which involved in multiple disciplines. Image Classification Refers the tagging the images into a number of predefined sets. It’s also includes image preprocessing, feature extraction, object detection, ob...

Today rapid development in Information Technology field and new applications being developed constantly to support critical businesses all over the world and also various key fields like environment studies, Medicine, Research and other sciences, making it an indispensable part of our lives. Computations across and over Internet has become order of day. Internet of things is an emerging topic o...

The aim of this study was to assess the environmental impact of socio-cultural practices on the water quality of River Ganga at the foothills of the Garhwal Himalayas in Uttarakhand State, India. The physico-chemical parameters that contributed to the temporal variation and pollution in the river were identified in this study. Principal component analysis (PCA) and Cluster analysis (CA) were us...

Software systems usually follow many programming rules prescribed in an architectural model. However, developers frequently violate these rules, introducing architectural drifts in the source code. In this paper, we present a data mining approach for architecture conformance based on a combination of static and historical software analysis. For this purpose, the proposed approach relies on data...

conclusions: the current study presents the highest accuracy value to diagnose the lad stenosis in the literature. results: bagging and c4.5 classification algorithms were drawn upon to analyse the data, the former reaching accuracy rates of 79.54%, 61.46%, and 68.96% for the diagnosis of the stenoses of the left anterior descending (lad), left circumflex (lcx), and right coronary artery (rca),...

one of the most important steps involved in mining operations is to select an appropriate extraction method for mine resources. after choosing the extraction method, it is usually impossible to replace it with another one because it may be so expensive that implementation of the entire project could be economically impossible. choosing a mining method depends on the geological and geometrical c...