The Analysis on the usage of the Video Conferencing Rooms using Classi????ication

Abstract

The ways and means of collaboration have been changed over the last few decades. They have extended beyond interaction within the same meeting room. Nowadays, all multinationals are installing video conference rooms in their offices globally in order to collaborate with their clients online to save travel cost and time. These video conference rooms are meant to capture the huge amount of data. Keeping in view the growth of the data in this situation, we performed an analysis on the usage of video conferencing rooms using data mining techniques. The data have been taken from a Norway based company named Cyviz . The data set is then further preprocessed and analyzed. Data reduction and data transformation have been done on the selected attributes to get better and appropriate results. A well-known data mining tool named WEKA5 is used to perform the classification on the dataset taken into consideration. Classification algorithms named Naïve Bayes and Random Tree are applied to the dataset after preprocessing and their results are compared and analyzed. This study is an effort to analyze the usage of the video conference room so that appropriate usage of the resources can be ensured.