Why Business Intelligence Needs Artificial Intelligence (AI) and Advanced Natural Language Generation (NLG)

Indrasen Poola, JECET; September 2017- November 2017; Sec. B; Vol.6. No.4, 266-274.[DOI: 10.24214/jecet.B.6.4.266274.]


The future is fast paced. Are we, we as mankind, stepping into “World 4.0” era? Is “world 4.0” era better term than “Industry 4.0”? Artificial intelligence robots are scaring us, but, they are arriving in our businesses and no one can stop this. In the world of wearable gadgets for time management and setting schedule around business affairs – you will meet a small group of people who have worked very hard, often inspired by friends and family who they wanted to help. You will not find a robot empire, but pockets of amazing people who want simply to leverage artificial intelligence to help business processes they care about to overcome lethargy, bring automation and grow productivity.

Billing management information systems and organisational performance: A case study a Zimbabwean service provider company 2003 to 2017

Samukeliso Gamuchirai Makore and Dr Farai Choga, JECET; September 2017- November 2017; Sec. B; Vol.6. No.4, 254-265, [DOI: 10.24214/jecet.B.6.4.25465.]


This study sought to investigate how billing management information systems affect organisational performance. The company was being crippled with collection inefficiencies owing to its inefficient billing processes which resulted in customers refusing to pay their bills. In this study, questionnaires and interviews were the research instruments. The documentary analysis method was also used to provide information of how billing management information systems affected organisational performance. The study found that billing management is very critical for both service provider and customers and that business management using information communication technology such as broadband networks and data centres has currently become more and more important. This study recommends that employees and customers be involved and considered in the setting up of billing management information systems of an organisation. It is also necessary for organisations to keep an eye on trends on global ICT changes so as to improve customer experience and relations. Finally it is also recommended that further research be undertaken in order to establish effectiveness of billing management information systems of other organisations

Preventing SQL Injection Attack Using Pattern Matching, Parse Tree Validation and Cryptography Algorithms

Sudha Senthilkumar and Krishna Teja Reddy,JECET; September 2017- November 2017; Sec. B; Vol.6. No.4, 246-253,[DOI: 10.24214/jecet.B.6.4.24653.]


SQL Injection (also known as SQLi) refers to those attacks in which attackers try to inject malicious SQL statements into the web application’s input fields in order to affect the database servers. As this kind of an attack can alter the servers of any kind of web applications and make them susceptible, it has become more difficult to depend upon SQL based web applications. The idea on which this attack is based on is very simple. By scripting the input of an application in a particular way, the attacker is able to make the input be interpreted as an SQL query and not as data. Hence the attacker can affect the database server by inputting different kinds of queries. These attacks need to be prevented in order to have a secure and reliable application. Hence a few methods for preventing SQLi have been stated in this paper.

RGB Method to Spot Hemorrhages and Microaneurysms Using Colors in Severe Stage of Non-Proliferative Diabetic Retinopathy

K.Saraswathi and Dr.V.Ganesh Babu, JECET; September 2017- November 2017; Sec. B; Vol.6. No.4, 240-245., [DOI: 10.24214/jecet.B.6.4.24045.]


Diabetic retinopathy (DR) is a diabetes related eye disease which occurs when blood vessels in the retina become swelled and leaks fluid which ultimately leads to vision loss. Several image processing techniques including Image Enhancement, Segmentation, Image Fusion, Morphology, Classification, and registration has been developed for the early detection of DR on the basis of features such as blood vessels, exudes, hemorrhages and microaneurysms. The damage caused by diabetic retinopathy can be prevented by the early detection of microaneurysms, exudates and hemorrhages in the retina. Hemorrhages are medical sign of DR and they seem like large red dots in fundus image. Presence of hemorrhages described the levels of DR. Timely recognition of hemorrhages can reduce the risks of loss of sight. The proposed paper has discussed about the identification of hemorrhages using colors in digital image of fundus using different preprocessing and feature extraction technique.

Rainfall Prediction Based on Decision Tree Classification Algorithm

K.Prabha and R.Sukanya, JECET; September 2017- November 2017; Sec. B; Vol.6. No.4, 230-239,[DOI: 10.24214/jecet.B.6.4.23039.]


Rainfall Prediction is one of the most significant and difficult task for the researchers in the recent years. In Data mining, classification algorithms are mainly used to predict rainfall, temperature, cloud burst, thunderstorm, sea level pressure etc. In this paper the prediction is done by using Decision Tree C5.0 algorithm. The Meteorological data studied is from the year 2012 to 2016 over New Delhi in India. In general, Maximum and Minimum temperature are one of the key factors responsible for Rainfall Prediction. This paper presents a Model to predict Rainfall using Decision Tree Algorithm and the data is implemented in C5 classifier using R.