Titlebook: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy; Proceedings of the S Manoj Sahni,José M. Merigó,Rajkumar

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Novel Generalized Divergence Measure for Intuitionistic Fuzzy Sets and Its Applications in Medical Dy, inference, and discrimination. Intuitionistic fuzzy sets (IFSs) are very useful to manage the unassured state of data. For the evaluation of relationships of IFSs, divergence measures of IFSs are necessary. The information of each set in the matrix is formulated by the introduced intuitionistic f

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roceedings of five international workshops held in conjunction with PAKDD 2011 in Shenzhen, China, in May 2011: the International Workshop on Behavior Informatics (BI 2011), the Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models (QIMIE 2011), the Workshop on

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J. Catherine Grace Johnn use such knowledge of change to adapt business strategies in response to changing circumstances. This paper is aimed at the visual exploration of migrations of cluster entities over time using Self-Organizing Maps. The contribution is a method for analyzing and visualizing entity migration between

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Anuradha Sabharwal,Pooja Yadavcases. Recent research has explored using linked open datasets for handling exceptions. However, most research uses domain-dependent datasets developed by specific authorities. To handle legal rule exceptions, which typically need knowledge from various domains and need to be updated in response to

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Dinesh Udar search space. In recent years, machine learning methods such as deep learning have achieved remarkable results in various fields. Although machine learning methods depend on data sets, it is sometimes difficult to prepare good-quality data for some tasks, and unsupervised learning methods have also