objectives: in present study, we studied the effect of teaching three painting methods (free method, subject selection method and complementary method) on creativity of children with learning disabilities. first, among all disabled students, who refer to bizhani center for learning disabilities in arak city, 60 subjects were randomly selected as statistical sample. thus, the 45 children, divide...

The continuous improvement and application of information system technologies have become widely recognized by the industry as critical for maintaining a competitive advantage in the marketplace (Shin et al., 2006). It is also recognized that improvement and application activities are the most efficient and cost-effective when implemented during an early process/product design stage. Data minin...

Model selection is an important problem in statistics, machine learning, and data mining. In this paper, we investigate the problem of enabling multiple parties to perform model selection on their distributed data in a privacy-preserving fashion without revealing their data to each other. We specifically study cross validation, a standard method of model selection, in the setting in which two p...

Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the process of looking for patterns of knowledge embedded in a data set. The process of mining data starts with the selection of a data set. This process is often imprecise in its methods as it is difficult to know if a data...

Contextual processing is a new emerging field based on the notion that information surrounding an event lends new meaning to the interpretation of the event. Data mining is the process of looking for patterns of knowledge embedded in a data set. The process of mining data starts with the selection of a data set. This process is often imprecise in its methods as it is difficult to know if a data...

The development of discovering appealing, valuable and important patterns from large spatial datasets is stated as spatial data mining. From the preceding hospital location analyses technique, the locations are predicted from the hospital dataset using pattern mining technique. In terms of road weightage computation the location analyses technique is not enough in its performance. In order to i...

Introduction: The early diagnosis of breast cancer as prevalent cancer among women, is a necessity in the research on cancers since it could simplify the clinical management of other patients. The importance of the classification of breast cancer patients into high- or low-risk groups has led research groups in the biomedical and informatics departments to evaluate and use computer techniques s...

Introduction: The early diagnosis of breast cancer as prevalent cancer among women, is a necessity in the research on cancers since it could simplify the clinical management of other patients. The importance of the classification of breast cancer patients into high- or low-risk groups has led research groups in the biomedical and informatics departments to evaluate and use computer techniques s...

Feature subset selection is of great importance in the field of data mining. The high dimension data makes testing and training of general classification methods difficult. In the present paper two filters approaches namely Gain ratio and Correlation based feature selection have been used to illustrate the significance of feature subset selection for classifying Pima Indian diabetic database (P...