Data mining is the mechanism of implementing patterns in large amount of data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. Clustering is the very big area in which grouping of same type of objects in data mining. Clustering has divided into different categories – partitioned clustering and hierarchical clustering. In ...

Accurate segmentation of breast lesions is a crucial step in evaluating the characteristics of tumors. However, this is a challenging task, since breast lesions have sophisticated shape, topological structure, and variation in the intensity distribution. In this paper, we evaluated the performance of three unsupervised algorithms for the task of breast Magnetic Resonance (MRI) lesion segmentati...

The theory and technology of cloud computing have been widely adopted by many small and medium enterprises and individuals for their business systems or personal affairs. To facilitate the evaluation processes of cloud service creditability, the present paper proposed a new multi-attribute evaluation theory. In addition, a utility and collaborative filtering-based evaluation method was presente...

Random Amplified Polymorphic DNA (RAPD) markers was used to analyze the genetic structure of five Indigenous Egyptian’s chicken populations including Fayoumi, Dokki-4, Golden Montazah, Silver Montazah, and ElSalam, based on the taxa generated by the analysis of ten RAPD markers. The population genetic distances were estimated by using two cluster algorithms (UPGMA & NJ neighbor-joining) accompa...

The debate about which similarity measure one should use for the normalization in the case of Author Co-citation Analysis (ACA) is further complicated when one distinguishes between the symmetrical co-citation—or, more generally, co-occurrence— matrix and the underlying asymmetrical citation—occurrence—matrix. In the Web environment, the approach of retrieving original citation data is often no...

Twenty-one strains of Nocardia amarae and marker cultures of Mycobacterium, Nocardia, Rhodococcus and the 'aurantiaca' taxon were subjected to numerical phenetic analyses using 92 unit characters. The data were examined using the simple matching (SSM), Jaccard (SJ) and pattern (DP) coefficients and clustering was achieved using the unweighted average linkage algorithm. Neither cluster nor aggre...

Temporal queries on time evolving data are at the heart of a broad range of business and network intelligence applications ranging from consumer behavior analysis, trend analysis, temporal pattern mining, sentiment analysis on social media, cyber security, and network monitoring. In this work, we present an innovative data structure called Fast Approximate Query-able(FAQ), which provides a unif...

In this article, we build models to predict the existence of citations among papers by formulating link prediction for 5 large-scale datasets of citation networks. The supervised machine-learning model is applied with 11 features. As a result, our learner performs very well, with the F1 values of between 0.74 and 0.82. Three features in particular, link-based Jaccard coefficient , difference in...

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...

Analysis of genetic interaction networks often involves identifying genes with similar profiles, which is typically indicative of a common function. While several profile similarity measures have been applied in this context, they have never been systematically benchmarked. We compared a diverse set of correlation measures, including measures commonly used by the genetic interaction community a...