Prognosis of Cardiac Disease using Data Mining Techniques A Comprehensive Survey ijtsrd
The Healthcare exchange generally clinical diagnosis is ended commonly by doctor’s knowledge and practice. Computer Aided Decision Support System plays a major task in the medical field. Data mining provides the methodology and technology to modify these rises of data into valuable data for decision making. By utilizing data mining techniques it requires less time […]
Forecasting Academic Performance using Multiple Linear Regression ijtsrd
Regression is one of the most powerful statistical methods used in educational researches. This paper shows the important instance of regression methodology called Multiple Linear Regression MLR and proposes a framework of the forecasting of the students’ test scores, based on Intelligence Quotient IQ and the number of hours that the students studied. This paper […]
Bank’s Roled Based Member Access Control ijtsrd
Today, Banks are essential things for finance. Because services served by banks transferring money from one place to another, saving money many ways and others, bank’s functions are very important. All data concerned with bank are kept to be secure because of the financial cases. And bank’s staffs’ roles and permissions according to their positions […]
Lexicon Based Emotion Analysis on Twitter Data ijtsrd
This paper presents a system that extracts information from automatically annotated tweets using well known existing opinion lexicons and supervised machine learning approach. In this paper, the sentiment features are primarily extracted from novel high coverage tweet specific sentiment lexicons. These lexicons are automatically generated from tweets with sentiment word hashtags and from tweets with […]
Simulation and Analysis of III V Characteristic and Bandgap Design for Heterojunction Laser Diode ijtsrd
This paper presents a system that extracts information from automatically annotated tweets using well known existing opinion lexicons and supervised machine learning approach. In this paper, the sentiment features are primarily extracted from novel high coverage tweet specific sentiment lexicons. These lexicons are automatically generated from tweets with sentiment word hashtags and from tweets with […]