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Nowadays, life unfolds in a digitised world, in which, each person can have access to a huge amount of information through the use of Internet. In this situation, most of daily activities are being influenced by a new kind of society that allows ubiquitous and instantaneous interaction among its members. The creation of social platforms (SPs) has strengthened human relationships at such point that...
Currently, the information in the internet is becoming explosive. In order to help the users searching the items they are interested in, such as, the news, the books, in this paper, we propose an automatic personalized recommendation algorithm by constructing the social graph resting on the users' implicit interaction information. We at first introduce a metric to measure the users' affinity based...
This article describes an improvement for K-means algorithm and its application in the form of a system that clusters search results retrieved from Wikipedia. The proposed algorithm eliminates K-means disadvantages and allows one to create a cluster hierarchy. The main contributions of this paper include the following: (1) The concept of an improved K-means algorithm and its application for hierarchical...
Maps offer a familiar way to present geographic data (continents, countries), and additional information (topography, geology), can be displayed with the help of contours and heat-map overlays. In this paper we consider visualizing large-scale dynamic relational data by taking advantage of the geographic map metaphor. We describe a system that visualizes user traffic on the Internet radio station...
Online Social Networks (OSNs) are becoming more important in the web 2.0 paradigm. Although most implementations of OSN are not distributed applications, users conforming an OSN work autonomously posting their information in the OSN and interacting among them. Users are responsible of the information they post in their profile and, in the vast majority of social networks, they can limit the disclosure...
The recent emergence of clouds with large, virtualized pools of compute and storage resources raises the possibility of a new compute paradigm for scientific research. With virtualization technologies, consolidation of scientific workflows presents a promising opportunity for energy and resource cost optimization, while achieving high performance. We have developed pSciMapper, a power-aware consolidation...
Traditionally image is retrieved with the help of the associated tag which is added to the image while storing it in the database. This text based image retrieval is time consuming, laborious and expensive. In order to overcome these flaws content based image retrieval is proposed which avoid the use of textual description and retrieve the image based on their visual similarity. To achieve this images...
Multimedia Information Retrieval is currently a hot research topic due the popularity of the World Wide Web and the huge amount of multimedia data available. There exists an increasing interest to design and develop new methods and techniques to represent and classify this kind of information. Among the different sources of multimedia information currently available, we have decided to work with music...
Most of the traditional classification methods behave undesirable, particularly producing poor predictive accuracy for the minority class of the imbalanced data from real world applications. This paper proposes a novel over-sampling strategy to handle imbalanced data based on cluster ensembles, named CE-SMOTE, which aims to provide a better training platform by introducing clustering consistency index...
Clustering organizes text in an unsupervised fashion. In this paper, we propose an algorithm for the fuzzy clustering of text documents using the naive Bayesian concept. Fuzzy clustering implies that the text documents are assigned to multiple clusters, ranked in descending order of probability. The Vector Space Model is used to represent our dataset as a term-weight matrix. In any natural language,...
Phishing fraudsters attempt to create an environment which looks and feels like a legitimate institution, while at the same time attempting to bypass filters and suspicions of their targets. This is a difficult compromise for the phishers and presents a weakness in the process of conducting this fraud. In this research, a methodology is presented that looks at the differences that occur between phishing...
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