Twitter Data Analytics ‘“ Sentiment Analysis of An Election IJTSRD
Social media is used to analyze political campaigns, stock market, movies, medicines, agriculture etc. Twitter a microblogging website where users read and write millions of tweets on a variety of topics daily. This project attempts to analyze the sentiment of the people for the election candidates based upon the live opinions and emotions. The focus […]
Budget Management Shopping Strategy for an E-Commerce Website IJTSRD
Recent e-commerce website does not assure shopping within a stipulated budget. Many a times when our basket/cart contains multiple products our budget gets collapsed. This somewhere affects customer shopping experience. Hence in this research we propose a methodology where a different combination of products, that customer wants to purchase is made. Then these combinations or […]
Content Based Image Retrieval IJTSRD
The incremented desideratum of content based image retrieval system can be found in a number of different domains such as Data Mining, Edification, Medical Imaging, Malefaction Aversion, climate, Remote Sensing and Management of Globe Resources. Googles image search and photo album implements such as image search, Googles Picasa project applications in general gregarious networking environment, […]
Outlier Detection using Reverse Neares Neighbor for Unsupervised Data IJTSRD
Data mining has become one of the most popular and new technology that it has gained a lot of attention in the recent times and with the increase in the popularity and the usage there comes a lot of issues/problems with the usage one of it Outlier detection and maintaining the datasets without the expected […]
A Heart Disease Prediction Model using Logistic Regression By Cleveland DataBase IJTSRD
The early prognosis of cardiovascular diseases can aid in making decisions to lifestyle changes in high risk patients and in turn reduce their complications. Research has attempted to pinpoint the most influential factors of heart disease as well as accurately predict the overall risk using homogenous data mining techniques. Recent research has delved into amalgamating […]