Hybrid Data Mining Approach for Image Segmentation Based Classification

Abstract

Evolutionary harmony search algorithm is used for its capability in finding solution space both locally and globally. In contrast, Wavelet based feature selection, for its ability to provide localized frequency information about a function of a signal, makes it a promising one for efficient classification. Research in this direction states that wavelet based neural network may be trapped to fall in a local minima whereas fuzzy harmony search based algorithm effectively addresses that problem and able to get a near optimal solution. In this, a hybrid wavelet based radial basis function (RBF) neural network (WRBF) and feature subset harmony search based fuzzy discernibility classifier (HSFD) approaches are proposed as a data mining technique for image segmentation based classification. In this paper, the authors use Lena RGB image; Magnetic resonance image (MR) and Computed Tomography (CT) Image for analysis. It is observed from the obtained simulation results that Wavelet based RBF neural network outperforms the harmony search based fuzzy discernibility classifiers.

Exploiting Multi-Sources Query Expansion in Microblogging Filtering

“…In addition, in order to optimize the computation efficiency, the algorithm should be implemented on the Hadoop and other big data platform to verify the performance of the algorithm in the production environment [15]. Finally, we hope to introduce the multi-source framework into the field of image, and provide a new light for solve the problem of image segmentation [23].…”

Certain Inverstigations on Privacy-Preserving Data Mining Using Three-Dimensional Spin Revolution (3DSR) Scheme

“…Mohanrao and Karthik entailed that the process of information extraction is employed to locate the prototypes among the dozen of domains in the immense repositories. The prime dispute in information extraction is to preserve the confidentiality of private data [11]. Kaur and Kaur entailed that the information extraction is employed to mine crucial data from the voluminous information to hoard them and to review them in an efficient way.…”