Educational Data Mining Model Using Rattle

Abstract

Data Mining is the extraction of knowledge from the large databases. Data Mining had affected all the fields from combating terror attacks to the human genome databases. For different data analysis, R programming has a key role to play. Rattle, an effective GUI for R Programming is used extensively for generating reports based on several current trends models like random forest, support vector machine etc. It is otherwise hard to compare which model to choose for the data that needs to be mined. This paper proposes a method using Rattle for selection of Educational Data Mining Model.

Authors and Affiliations

Sadiq Hussain, G. C. Hazarika

Keywords

Related Articles

Automatic Classification of Academic and Vocational Guidance Questions using Multiclass Neural Network

The educational and professional orientation is an essential phase for each student to succeed in his life and his curriculum. In this context, it is very important to take into account the interests, occupations, skills...

WordNet based Implicit Aspect Sentiment Analysis for Crime Identification from Twitter

Crime analysis has become an interesting field that deals with serious public safety issues recognized around the world. Today, investigating Twitter Sentiment Analysis (SA) is a continuing concern within this field. Asp...

Day-ahead Base, Intermediate, and Peak Load Forecasting using K-Means and Artificial Neural Networks

Industries depend heavily on the capacity and availability of electric power. A typical load curve has three parts, namely, base, intermediate, and peak load. Predicting the three (3) system loads accurately in a power s...

Study of the capacity of Optical Network On Chip based on MIMO (Multiple Input Multiple Output) system

When designing Optical Networks-On-Chip, designers have resorted to make dialogue between emitters (lasers) and receivers (photo-detectors) through a waveguide which is based mainly on optical routers called ?-router. In...

A Novel Mapreduce Lift Association Rule Mining Algorithm (MRLAR) for Big Data

Big Data mining is an analytic process used to discover the hidden knowledge and patterns from a massive, complex, and multi-dimensional dataset. Single-processor's memory and CPU resources are very limited, which makes...

Download PDF file
  • EP ID EP152571
  • DOI 10.14569/IJACSA.2014.050605
  • Views 92
  • Downloads 0

How To Cite

Sadiq Hussain, G. C. Hazarika (2014). Educational Data Mining Model Using Rattle. International Journal of Advanced Computer Science & Applications, 5(6), 22-27. https://europub.co.uk/articles/-A-152571