Rough set data analysis: A road to non-invasive knowledge discovery
by Ivo Düntsch, Günther Gediga
Publisher: Methodos Publishers (UK) 2000
Number of pages: 108
This is not the first book on rough set analysis and certainly not the first book on knowledge discovery algorithms, but it is the first attempt to do this in a non-invasive way. In this book the authors present an overview of the work they have done in the past seven years on the foundations and details of data analysis. It is a look at data analysis from many different angles, and the authors try not to be biased for - or against - any particular method. This book reports the ideas of the authors, but many citations of papers on Rough Set Data Analysis in knowledge discovery by other research groups are included as well.
Home page url
Download or read it online for free here:
by Chris Bourke - University of Nebraska - Lincoln
A draft of text book for Computer Science I, covering CS1 topics in a generic manner using psuedocode with supplemental parts for specific languages. Computer Science is not programming. Programming is a necessary skill, but it is only the beginning.
by Allen B. Downey
This book teaches you to think like a computer scientist - to combine the best features of mathematics, natural science, and engineering, to use formal languages to denote ideas, to observe the behavior of complex systems, form hypotheses, etc.
by David Reed - Prentice Hall
The book covers concepts in computing that are most relevant to the beginning student, including computer terminology, the Internet and World Wide Web, the history of computing, the organization and manufacture of computer technology, etc.
by Tony Hey, Stewart Tansley, Kristin Tolle - Microsoft Research
The Fourth Paradigm, the collection of essays expands on the vision of pioneering computer scientist Jim Gray for a new, fourth paradigm of discovery based on data-intensive science and offers insights into how it can be fully realized.