The technique that is utilized for analyzing the complex data is known as data mining technique. As per the input dataset provided, the predictions are made for the data with the help of prediction analysis method. There are various new techniques proposed for the execution of prediction analysis technique. In this paper, the k-mean algorithm is utilized for categorizing the data. Further, for the classification of this data, the SVM classifier is applied. For improving the performance of prediction analysis in terms of accuracy the back propagation algorithm is used along with the k-mean clustering algorithm. For executing this proposed technique, the MATLAB tool is used. As per the experimental results it is concluded that the accuracy of the clustering algorithm is improved as well as the execution time utilized for prediction analysis is decreased.

The image compression is the technique if image processing which is applied to reduce size of the input image. The image compression is broadly classified into lossy and lossless type of compression. The WDR algorithm is the lossy type of compression. In this paper, improvement in the WDR algorithm is been proposed and improvement is based on decision tree algorithm. The proposed algorithm is been implemented in MATLAB and it is been analyzed that compression ratio and PSNR is increased in the proposed algorithm.

The image compression is the technique which is applied to reduce size of the image without compromising image quality. The image compression is of two type which are lossy and loss-less type of image compression. This work is based on WDR and ASWDR algorithms which are used for the image compression. In this paper, these two algorithms are reviewed and it is been analyzed that ASWDR algorithm performs better in terms of various parameters

The watermarking is the technique which provides security to the sensitive image data. In the creation of watermarked image the two steps has been followed in the first step, properties of the input image is analyzed and in the second step encoding process is initialed which create final watermarked image. To analyze the properties of input image the technique of SVD-DCT and DWT is been analyzed in this paper which analyze textual and color features of the image. In this paper, various advancements which has been proposed in the recent time in SVD-DCT and DWT technique is been reviewed and discussed in terms of various parameters

The data mining is the technology which is applied to extract the useful information from the rouge information. The clustering is the efficient technique which is applied to cluster the similar and dissimilar type of data. The prediction analysis is applied in which technique of clustering is applied which will cluster the data and in the second step technique of classification is applied which will classify the similar and dissimilar type of data. In this paper, various technique of prediction analysis is reviewed and discussed in terms of various parameters