A Heart Disease Prediction Model using Logistic Regression 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 […]
An Efficient Pharse Based Pattern Taxonomy Deploying Method for Text Document Mining IJTSRD
The extraction of multiple word which are related to expressions that has been increasingly a special topic in the last few years. Relevant expressions are applicable in diverse areas such as Information Retrieval, document clustering, or classification and indexing of documents. However, relevant single-words, which represent much of the knowledge in texts, have been a […]
Anticipating Advertisement Visibility using Prospective Representation IJTSRD
Exhibiting advertisements through online became the current trend. To draw the attention of the customers, advertisers will try to send advertising messages using web pages. Every advertiser will be charged when an ad is viewed. From the recent studies, it was detected that due to lack of scrolling more than half of the ads do […]
Social Group Recommendation based on Big Data IJTSRD
Current life involves physical enjoyment, social activities and content, profile and cyber resources. Now it is easy to merge computing, networking and society with physical systems to create new revolutionary science, technical capabilities and better quality of life. That all possible through Cyber Physical Social Content and Profile Based System (CPSCPs).In this propose system, a […]
Opinion Mining of Customer Review for Amazon Product IJTSRD
Now-a-days online shopping will become increasingly important. Merchant sells the product more and more on the internet and many users are using the internet to buy a product and express their ideas or opinions about that product. Many users are using online shopping and before or after shopping they used to read or post review […]