R. K. Kamat – författare

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

Over the period of last few decades, the ‘C’ language has become an icon for computer programmers. The field of computer science has undergone tremendous change, and the rate of obsolescence of concepts, programming platforms, tools and utilities is extremely high. However, in spite of such vast changes, the only thing that has retained its stability is the ‘C’ language. Even today, millions of students, hobbyists and professional programmers enjoy the sturdiness, reliability and user friendliness of the ‘C’ language. Today ‘C’ enjoys the undisputable recognition in the computing paradigm for diversified applications, from the basic programming, microcontrollers, and spreadsheets to system programming. In this book, most of the usual theoretical features have been skipped, for these have been widely published in previous books. Rather than introducing the underpinning theory, the authors approach has been “learning-through-doing”, which is one that often appeals to programmers. Theory is followed by practical implementation, and in this way the book will cover programming aspects in a self-tutor manner providing an excellent overview, from basic to advance programming. Topics discussed include: • GCC interface• First time ‘C’ User• Decision and looping structures• Arrays and pointers• Functions, structures and union• Linear data structures

Over the period of last few decades, the ‘C’ language has become an icon for computer programmers. The field of computer science has undergone tremendous change, and the rate of obsolescence of concepts, programming platforms, tools and utilities is extremely high. However, in spite of such vast changes, the only thing that has retained its stability is the ‘C’ language. Even today, millions of students, hobbyists and professional programmers enjoy the sturdiness, reliability and user friendliness of the ‘C’ language. Today ‘C’ enjoys the undisputable recognition in the computing paradigm for diversified applications, from the basic programming, microcontrollers, and spreadsheets to system programming. In this book, most of the usual theoretical features have been skipped, for these have been widely published in previous books. Rather than introducing the underpinning theory, the authors approach has been “learning-through-doing”, which is one that often appeals to programmers. Theory is followed by practical implementation, and in this way the book will cover programming aspects in a self-tutor manner providing an excellent overview, from basic to advance programming. Topics discussed include: • GCC interface• First time ‘C’ User• Decision and looping structures• Arrays and pointers• Functions, structures and union• Linear data structures