Several metrics have been proposed for recognition of relationships between elements of two Ontologies. Many of these methods select a number of such metrics and combine them to extract existing mappings. In this article, we present a method for selection of more effective metrics – based on data mining techniques. Furthermore, by having a set of metrics, we suggest a data-mining-like means for...

Mammography is an important examination in the early detection of breast abnormalities. Automatic classifications of mammogram images into normal, benign or malignant would help the radiologists in diagnosis of breast cancer cases. This study investigates the effectiveness of using rule-based classifiers with multivariate filter and genetic miner to classify mammogram images. The method discove...

Datasets are becoming larger and there is an acute need to use data mining techniques to exploit the available data. The increasing size of the datasets poses a challenge to the data miners, which can be solved using two approaches – high speed computing systems, and pre-processing techniques. In this paper, we propose a solution combining the above two techniques using a distributed feature se...

Feature selection is an effective method to deal with high-dimensional data. While in many applications such as multimedia and web mining, the data are often high-dimensional and very large scale, but the labeled data are often very limited. On these kind of applications, it is important that the feature selection algorithm is efficient and can explore labeled data and unlabeled data simultaneo...

This paper presents a novel feature selection based on association rule mining using reduced dataset. The key idea of the proposed work is to find closely related features using association rule mining method. Apriori algorithm is used to find closely related attributes using support and confidence measures. From closely related attributes a number of association rules are mined. Among these ru...

With the development of data mining technologies, privacy protection has become a challenge for data mining applications in many fields. To solve this problem, many privacy-preserving data mining methods have been proposed. One important type of such methods is based on Singular Value Decomposition (SVD). The SVD-based method provides perturbed data instead of original data, and users extract o...

one of the most important issues related to knowledge discovery is the field of comment mining. opinion mining is a tool through which the opinions of people who comment about a specific issue can be evaluated in order to achieve some interesting results. this is a subset of data mining. opinion mining can be improved using the data mining algorithms. one of the important parts of opinion minin...

The safety issue of coal mining engineering is very important to coal industry. According to our coal mine enterprises' safe characteristics, this paper analyzed the risk factors of coal mining engineering and studied the safety problem of “humanmachine-environment” system. The risk factors of coal mining engineering are divided to natural geological factors, personnel factors, equipment factor...