A Systematic Review of Existing Data Mining Approaches Envisioned for Knowledge Discovery from Multimedia

The extensive use of multimedia technologies extended the applicability of information technology to a large extent which results enormous generation of complex multimedia contents over the internet. Therefore the number of multimedia contents available to the user is also exponentially increasing. In this digital era of the cloud-enabled Internet of Things (IoT), analysis of complex video and image data plays a crucial role.It aims to extract meaningful information as the distributed storages and processing elements within a bandwidth constraint network seek optimal solutions to increase the throughput along with an optimal trade-off between computational complexity and power consumption. However, due to complex characteristics of visual patterns and variations in video frames, it is not a trivial task to discover meaningful information and correlation. Hence, data mining has emerged as a field which has diverse aspects presently in extracting meaningful hidden patterns from the complex image and video data considering different pattern classification approach. The study mostly investigates the existing data-mining tools and their performance metric for the purpose of reviewing this research track.It also highlights the relationship between frequent patterns and discriminativefeatures associated with a video object. Finally, the study addresses the existing research issues to strengthen up the future direction of research towards video analytics and pattern recognition

Semi Supervised Video Object Mining Framework to Multiple Object Extraction

Video mining using combination of supervised and unsupervised learning techniques has created an arc in multimedia data mining. With this binding (usual & unusual mining) technique, today we can get accurate results in multimedia applications. This blend takes away the formal techniques that were used in video mining. Though video mining in general it is purely unusual mining, there exists some complex computational work by all means. Hence this work first compares the efficiency in video mining between unsupervised and semi-supervised learning techniques and then proposing a model or framework for multiple object extraction. In Multimedia Mining multiple object extraction is one of the challenging areas. This is because it contains more critical issues and it is a complex task when it comes to dynamic applications. Hence an attempt is made with some assumptions to extract multiple objects using semi supervised learning techniques. This proposed model blends semi supervised learning techniques and multiple object extraction with necessary compression and decompression methods in a simple way as an initial step to address the two challenging areas of video mining

The employment of sex-related taboos and corresponding euphemisms in Arabic among Jordanian university students

This study aims to examine the extent to which Jordanian university students use positive and negative euphemism to address the problematic references of the taboo language in sex-related topics, namely sexual organs, sexual intercourse, and illegitimate sex relations. It also aims to shed light on certain aspects of this existence such as the formation processes of the various types of euphemisms and the extent to which Jordanian university students observe Grice‟s maxims of conversation or flout them. The theoretical framework used in this research is based on the following theories; the Politeness theory proposed by Brown and Levinson in 1987 and Grice's Co-operative principle and the Maxims of conversation in 1975. This study followed a mixed-methods approach, using both quantitative and qualitative methods. The variables selected for this study are divided into two main categories: independent variable (gender) and dependent variable (the use of euphemisms by Jordanian university students). The current study found that Jordanian university students (male/female) slightly used taboo language to a certain extent. It was also found that the euphemisms‟ formation processes proposed by Farghal‟s model in 1995 are used by Jordanian university students, especially figurative speech and Euphemizers devices. The study has further revealed that Farghal‟s model is incapable of accounting for all euphemisms‟ formation devices employed by Jordanian university students. As a result, a modified version of Farghal‟s model was formulated by the researcher. The study also found that the euphemisms of sex-related topics, namely sexual organs, sexual intercourse, and illegitimate sex relations used by Jordanian university students (male/female) flout two of Grice‟s maxims of conversation, namely the maxim of quality and the maxim of manner. Finally, the findings of this study demonstrated that gender is slightly influential in terms of the Jordanian students‟ use of positive euphemism