1. Home
  2. E-Book
  3. Rough set data analysis: A road to non-invasive knowledge discovery

Rough set data analysis: A road to non-invasive knowledge discovery by Ivo Düntsch, Günther Gediga

Rough set data analysis: A road to non-invasive knowledge discovery

Rough set data analysis: A road to non-invasive knowledge discovery by Ivo Düntsch, Günther Gediga
Rough set data analysis: A road to non-invasive knowledge discovery by Ivo Düntsch, Günther Gediga
Publisher: Methodos Publishers (UK) 2000
ISBN/ASIN: 190328001X
ISBN-13: 9781903280010
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.
Computers & Internet Computer Science
Go To Read/Download Page
Home Page

More Free E-Books For Computer Science

Similar Books For Computer Science

1. Computational and Inferential Thinking: The Foundations of Data Science by Ani Adhikari, John DeNero
2. Interacting with Presence by Giuseppe Riva
3. Insight into Theoretical and Applied Informatics by Andrzej Yatsko, Walery Suslow
4. Automata and Rational Expressions by Jacques Sakarovitch
5. Crafting Interpreters: A handbook for making programming languages by Robert Nystrom
6. Refining the Concept of Scientific Inference When Working with Big Data by
7. GIS Commons: An Introductory Textbook on Geographic Information Systems by Michael Schmandt
8. Human Computer Confluence by Andrea Gaggioli, et al.
9. Nature of Geographic Information by David DiBiase
10. Global Library and Information Science by Ismail Abdullahi (ed.)
11. Databases, Types, and The Relational Model: The Third Manifesto by C.J. Date, Hugh Darwen
12. Logic and Automata: History and Perspectives by Jorg Flum (ed)
13. Elementary Algorithms by Larry LIU Xinyu
14. Applied Artificial Neural Networks by Christian Dawson
15. Database Explorations by C.J. Date, Hugh Darwen
16. Big Data on Real-World Applications by S. Ventura Soto, Jose M. Luna, Alberto Cano (eds)
17. Introduction to Computability Theory by Dag Normann
18. Search Engines: Information Retrieval in Practice by W.B. Croft, D. Metzler, T. Strohman
19. Information Systems Foundations: The Role of Design Science by Dennis Hart, Shirley Gregor
20. The Design and Implementation of Probabilistic Programming Languages by Noah D. Goodman, Andreas Stuhlmüller
21. The Security Development Lifecycle by Michael Howard, Steve Lipner
22. How Mobile Robots Can Self-organise a Vocabulary by Paul Vogt
23. Notes on Data Structures and Programming Techniques by James Aspnes
24. Introduction to Software Engineering by
25. Statistical Foundations of Machine Learning by Gianluca Bontempi, Souhaib Ben Taieb
26. Probabilistic Models in the Study of Language by Roger Levy
27. Computer Vision Metrics: Survey, Taxonomy, and Analysis by Scott Krig
28. Measures and Applications of Quantum Correlations by G. Adesso, T.R. Bromley, M. Cianciaruso
29. Python Scripting for Spatial Data Processing by Pete Bunting, Daniel Clewley
30. Information, Entropy and Their Geometric Structures by Frederic Barbaresco, Ali Mohammad-Djafari
31. Statistical Learning and Sequential Prediction by Alexander Rakhlin, Karthik Sridharan
32. Applications of ICT in Libraries by
33. CS for All by Christine Alvarado, et al.
34. Compiler Construction by William M. Waite, Gerhard Goos
35. Purely Functional Data Structures by Chris Okasaki
36. Quantum Information Meets Quantum Matter by Bei Zeng, et al.
37. Neural Network Design by Martin T. Hagan, et al.
38. Concrete Semantics: With Isabelle/HOL by Tobias Nipkow, Gerwin Klein
39. Bayesian Network by Ahmed Rebai (ed.)
40. Understanding Machine Learning: From Theory to Algorithms by Shai Shalev-Shwartz, Shai Ben-David
41. The Playful Machine by Ralf Der, Georg Martius
42. BIG CPU, BIG DATA: Solving the World's Toughest Problems with Parallel Computing by Alan Kaminsky
43. Spatial Thinking in Planning Practice: An Introduction to GIS by Y. Fang, V. Shandas, E. Arriaga Cordero
44. Deep Learning Tutorial by LISA lab
45. Thinking Networks: The Large and Small of it by Kieran Greer
46. Voice Communication with Computers: Conversational Systems by C. Schmandt
47. Professor Fris by 's Mostly Adequate Guide to Functional Programming
48. Anatomy of Programming Languages by William R. Cook
49. Programming and Programming Languages by Shriram Krishnamurthi
50. Models and Theories in Human-Computer Interaction by

Free E-Books For Computers & Internet
Free E-Books For Computer Science



Categories