Educational Data Mining with R and Rattle

Regular price €74.99
A01=R. K. Kamat
A01=R.S. Kamath
Artificial Neural Network
Author_R. K. Kamat
Author_R.S. Kamath
Category=UN
Category=UY
Classifiers
Clustering
Data Exploration
Decision Tree
Descriptive and Predictive Analytics
EDM Process
Educational Data Mining
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Hierarchical Clustering
K-Means
Na?ve Bayes Classifier
R Systems
Rattle
Student Segmentation

Product details

  • ISBN 9788793379312
  • Weight: 349g
  • Dimensions: 156 x 234mm
  • Publication Date: 05 Apr 2016
  • Publisher: River Publishers
  • Publication City/Country: DK
  • Product Form: Hardback
Delivery/Collection within 10-20 working days

Our Delivery Time Frames Explained
2-4 Working Days: Available in-stock

10-20 Working Days: On Backorder

Will Deliver When Available: On Pre-Order or Reprinting

We ship your order once all items have arrived at our warehouse and are processed. Need those 2-4 day shipping items sooner? Just place a separate order for them!

Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from the educational domain. EDM is a promising discipline which has an imperative impact on predicting students' academic performance. It includes the transformation of existing, and the innovation of new approaches derived from multidisciplinary spheres of influence such as statistics, machine learning, psychometrics, scientific computing etc.An archetype that is covered in this book is that of learning by example. The intention is that reader will easily be able to replicate the given examples and then adapt them to suit their own needs of teaching-learning. The content of the book is based on the research work undertaken by the authors on the theme "Mining of Educational Data for the Analysis and Prediction of Students' Academic Performance". The basic know-how presented in this book can be treated as guide for educational data mining implementation using R and Rattle open source data mining tools. .Technical topics discussed in the book include:• Emerging Research Directions in Educational Data Mining• Design Aspects and Developmental Framework of the System• Model Development - Building Classifiers• Educational Data Analysis: Clustering Approach
R.S. Kamath, Chhatrapati Shahu Institute of Business Education and Research, India and R.K. Kamat, Shivaji University, India.