This study presents the results of an experimental study of two document clustering techniques which are kmeans and k-means++. In particular, we compare the two main approaches in crime document clustering. The drawback of k-means is that the user needs to define the centroid point. This becomes more critical when dealing with document clustering because each center point represented by a word ...

WikiMatch is a matching tool which makes use of Wikipedia as an external knowledge resource. The overall idea is to search Wikipedia for a given concept and retrieve all pages describing the term. If there is a large amount of common pages for two terms, then the concepts will have similar semantics. We make also use of the inter-language links between Wikipedias in different languages to match...

Zero-day polymorphic worms pose a serious threat to the security of Mobile systems and Internet infrastructure. In many cases, it is difficult to detect worm attacks at an early stage. There is typically little or no time to develop a well-constructed solution during such a worm outbreak. This is because the worms act only to spread from node to node and they bring security concerns to everyone...

conclusions this is the first research in comparing two genetic marker systems in p. variotti. we were prompted to explore polymorphisms utility in p. variotti with a look at using germplasm screening mapping of genome and strain improvement programs. results both systems discriminated 20 isolates of p. variotii successfully but were different in the amount of detectable polymorphism. using clu...

The task of data linkage is performed among entities of the same type. The one to one data linkage links one record from one table and another one record in another table. It is extremely necessary to develop linkage techniques that link between matching entities of different types and also to improve one to one linkage to one to many data linkage as well. The proposed method emphasizes on one-...

We present a deep convolutional neural network application based on autoencoders aimed at segmentation of increased signal regions in fluid-attenuated inversion recovery magnetic resonance imaging images. The convolutional autoencoders were trained on the publicly available Brain Tumor Image Segmentation Benchmark (BRATS) data set, and the accuracy was evaluated on a data set where 3 expert seg...

The present study compared different similarity and dissimilarity coefficients and their influence in maize inbred line clustering. Ninety maize S0:1 inbred lines were used and genotyped with 25 microsatellite markers (simple sequence repeat). The simple matching, Rogers and Tanimoto, Russel and Rao, Hamann, Jaccard, Sorensen-Dice, Ochiai, and Roger's modified distance coefficients were compare...

CT colonography (CTC) is a minimally invasive screening technique for colorectal polyps and colon cancer. Most CTC protocols acquire both prone and supine images to improve the visualization of the lumen wall, reduce false positives, and improve sensitivity. Comparisons between the prone and supine images can be facilitated by computerized registration between the scans. In this paper, an algor...

Online Social Networks are growing exponentially due to which a lot of researchers are working on Social Network analysis. Link Prediction is a task of predicting new links that may occur in future in the social network. The link prediction problem has generated a lot of interest due its widespread applicability across many domains. We conducted a study on the different methods that have been d...

Sixteen strains designated Mycobacterium farcinogenes, fifteen Mycobacterium senegalense, and ten Nocardia farcinica were, together with strains of Mycobacterium and Nocardia, subjected to numerical phenetic analyses using 96 unit characters. The data were examined using the simple matching (SSM), Jaccard (SJ) and pattern (DP) coefficients and clustering achieved using the unweighted average li...