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Data Mining with Weka -Installation

Weka - Data mining Tool W eka is a tool for big data and data mining. It is used to various classification, experiments, and analysis over large data sets. Installation Guide -weka  You can download Weka from   here   and follow the normal installation procedure. After completion you will get following window, here you can begin your classification or experiment on different data sets with Weka.

THE RISK DRIVEN MODEL

THE RISK DRIVEN MODEL - Introduction As digital systems become part of everyday life for most of us that caused increase in the development of software systems and applications hugely. The increasing number also shows the worries of developers for risk of failure for different stages of the development and different platforms including web. The management of risk is very important factor to be considered for all software development processes. The risk driven model is very simple and easy to use with having low “risk of failure” level which attracts most of the developers. However, the development of software means developer must anticipate the possible risk of failure for different stages by using right tools and techniques. Though which development technique is more reliable? Or which architecture is enough for developer? And which is model should developer use is still a question. So here I present how risk driven is enough for the developers for all stages (including an

Programming language (C)

It is structured programming language  which is used to develop operating system,  business system, text processing, database management etc.  It was developed by Dennis Ritche  in 1970 at AT and T Bell Laboratories.  Every function of C is accompanied by  their separate header file.