Data Mining : Naive Bayes (Overview)

A Bayes classifier is a simple probabilistic classifier based on applying Bayes' theorem (from Bayesian statistics) with the assumption of independent (naive) strong. A more descriptive term for the probability model to be underlined is "independent feature model".

Internet of Things to Power Classroom Education

Businesses and academics have joined forces inside an £800, 000 project to extend the so-called internet of things straight into the classroom.

In the programme, distance, the consortium for furthering education through advanced technologies, aims to develop “the internet of school things” with eight UK schools.

iPhone 5S Apple Will Use Chip Chip A7 and Motion Sensor

Clayton Morris, a reporter from Fox news agency revealed that Apple will use the A7 chip for the iPhone 5S, and the other is called a chip will accommodate features 'motion sensor'.

College : Cambridge University

The university of Cambridge informally referred to firmly as Cambridge university or merely as Cambridge could be a public research university located in Cambridge, England, united kingdom. it will be the second-oldest university within the english-speaking world ( once the university of oxford ), and also the third-oldest surviving university on earth. the mission of one's university of Cambridge often to contribute to society across the pursuit of education, learning, and research at the best international levels of excellence.

Data Mining : Task Mining

Overview

Text mining, refers to the process of taking high-quality information of text. High-quality information is usually obtained through a pattern forecasting and trends through means such as statistical pattern learning. Text mining usually involves the process of structuring the input text (usually parsing, along with the addition of some derived linguistic features and the removal of some among others, and subsequent insertion into a database), determine the pattern in structured data, and finally evaluate and interpret the output. 'High quality' in text mining usually refers to some combination of relevance, novelty, and interestingness.