Interactive Visual Search System Based on Machine Learning Algorithm

Anas Al-Fayoumi and Mohammad Hassan

Department of Computer Science, Zarqa University, Jordan

Abstract: This paper presents a tool that enables non-technical end-users to use free-form queries in exploring a large scale datasets with simple and interactive direct technique. The proposed approach is based on effective integration of different techniques, such as data mining, visualization and Human-Computer Interaction (HCI). The proposed model has been incorporated into a prototype developed as a web-based application using different programming languages and software tools. The system has been implemented based on a real dataset, whereas the obtained results indicate the efficiency of such approach.

Keywords: Visualization, feature extraction, data mining, visual data mining, machine learning.

Received September 17, 2015; accepted October 18, 2015