Internet Abuse Detection - Essay Example

The article then develops the basis for the study as a determination of the effectiveness of text mining techniques for detecting Web-based Internet abuse at the workplace as well as the accuracy and efficiency of some techniques compared to others. This makes the reader have a comprehensive understanding of the article and how it will be organized making it a good and excellent article in terms of idea development. The article then reviews the literature on internet abuse, approach and text mining techniques, empirical findings and results and the last part presented is the managerial implications and future research directions as envisaged by the authors.

The article is organized in a manner to give the reader a clear understanding of the needs for the research, findings, and conclusions made as well as further research recommendations. The authors give a clear exposition of the literature on internet abuse to bring the reader up to speed on the research undertaken on internet abuse in the workplace. There are three major categories of literature reviewed by the authors including measures to prevent internet abuse behaviour, measurements of evaluating the behaviour and factors that augment the behaviour as well as the monitoring and blocking of employees internet usage.

The main approach taken by the study is the detection of web-based abuse through the text mining approach excluding non-web-based abuse and e-mail abuse as a means to complement the existing techniques. The authors give a clear exposition to the reader of the methods of classification, data collection methods and preparation as well as the design taken to ensure the results reached are quality and supported by evidence. After the results are analyzed using standard regression, standard deviations, Chi-test, and F-test, the conclusions and recommendations are presented at the end of the article.

The analysis is in-depth to allow the reader to comprehend the steps taken to reach the conclusions made at the end of the article. The article makes conclusions including that text categorization is a promising approach for detecting internet abuse at the workplace as it yields accurate automatic classifiers of 99% accuracy in classification. This is a higher accuracy compared to the 80% accuracy of commercial filtering products. The article also concludes that the effectiveness of technical solutions to solve internet abuse in the workplace can be augmented using management solutions in terms of policy formulation on internet use and the management may use filtering tools as a means to solve internet abuse at the workplace.

Through these conclusions, the article gives a clear exposition of the measures through which the management can benefit through using the text mining approach in the detection of internet use at the workplace. The article does an excellent work of giving recommendations for further research to augment the use and understanding of measures to detect internet abuse at the workplace. Future research is proposed on the comparison of the approach presented in this study and commercial filtering products as well as the ability to make continuous updates to classifiers. The other area is further research is to find out other measures to combine various techniques for better performance and evaluation of internet abuse detection at the workplace.