This paper presents a hybrid approach to identify coordinated spam or malware attacks carried out using sybil accounts on online social networks. It also presents an online social network data collection methodology, with a special focus on Facebook social network. The pages crawled from Facebook network are grouped according to users’ interests and analyzed to retrieve users’ profiles from eac...

This paper introduces a way of understanding correlation coefficients based on the notion of scaled-score similarity (i.e., closeness to identity). It is suggested that the proposed framework has intuitive al)peal. It points to the equivalence among various correlation coefficients by showing that correlation problems involve the notion of agreement between interval or ordinal measures expresse...

Problem: Analyze a (large) set of objects and form a smaller number of groups using the similarity and factual closeness between the objects. Goals: – Finding representatives for homogenous groups-> Data Reduction – Finding " natural " clusters and describe their unknown properties-> " natural " Data Types – Find useful and suitable groupings-> " useful " Data Classes – Find unusual data object...

Flexible query answering can be implemented in an intelligent database system by query generalization to obtain answers close to a user’s intention although not answering his query exactly. In this paper, we focus on the generalization operator “Anti-Instantiation” and investigate how syntactic similarity measures can be used to rank generalized queries with regard to their closeness to the ori...

The aim of the paper is to present basic notions related to granular computing, namely the information granule syntax and semantics as well as the inclusion and closeness (similarity) relations of granules. In particular, we discuss how to define approximation of complex granule sets using the above notions.

Query generalization is one option to implement flexible query answering. In this paper, we introduce a generalization operator (called powerset-AI) that extends conventional Anti-Instantiation (AI). We analyze structural modifications imposed by the generalization to obtain syntactic similarity measures (based on the star feature) that rank generalized queries with regard to their closeness to...

Semantic similarity measures have been used successfully and extensively in the biomedical research with various applications. As the biomedical ontologies, which form the main ground for most of the similarity measures, are growing and progressing towards more completeness and higher accuracy, the results and outcomes of these semantic similarity measures become more acceptable and more reliab...

The goal of the current paper is to introduce a novel clustering algorithm that has been designed for grouping transcribed textual documents obtained out of audio, video segments. Since audio transcripts are normally highly erroneous documents, one of the major challenges at the text processing stage is to reduce the negative impacts of errors gained at the speech recognition stage. Other diffi...