عنوان

Rough Set Methods and Applications :

شابک

3790818402

شابک

9783790818406

شماره

b588246

عنوان اصلي

Rough Set Methods and Applications :

نام عام مواد

[Book]

ساير اطلاعات عنواني

New Developments in Knowledge Discovery in Information Systems

نام نخستين پديدآور

edited by Lech Polkowski, Shusaku Tsumoto, Tsau Y. Lin.

محل نشرو پخش و غیره

Heidelberg

نام ناشر، پخش کننده و غيره

Physica-Verlag HD

تاریخ نشرو بخش و غیره

2000

نام خاص و کميت اثر

1 ressource en ligne (x, 683 pages)

عنوان فروست

Studies in Fuzziness and Soft Computing, 56.

متن يادداشت

1. Introduction --; Introducing the Book --; 1. A Rough Set Perspective on Knowledge Discovery in Information Systems: An Essay on the Topic of the Book --; 2. Methods and Applications: Reducts, Similarity, Mereology --; 2. Rough Set Algorithms in Classification Problem --; 3. Rough Mereology in Information Systems. A Case Study: Qualitative Spatial Reasoning --; 4. Knowledge Discovery by Application of Rough Set Models --; 5. Various Approaches to Reasoning with Frequency Based Decision Reducts: A Survey --; 3. Methods and Applications: Regular Pattern Extraction, Concurrency --; 6. Regularity Analysis and its Applications in Data Mining --; 7. Rough Set Methods for the Synthesis and Analysis of Concurrent Processes --; 4. Methods and Applications: Algebraic and Statistical Aspects, Conflicts, Incompleteness --; 8. Conflict Analysis --; 9. Logical and Algebraic Techniques for Rough Set Data Analysis --; 10. Statistical Techniques for Rough Set Data Analysis --; 11. Data Mining in Incomplete Information Systems from Rough Set Perspective --; 5. Afterword --; 12. Rough Sets and Rough Logic: A KDD Perspective --; Appendix: Selected Bibliofgraphy on Rough Sets.

متن يادداشت

Rough set approach to reasoning under uncertainty is based on inducing knowledge representation from data under constraints expressed by discernibility or, more generally, similarity of objects. Knowledge derived by this approach consists of reducts, decision or association rules, dependencies, templates, or classifiers. This monograph presents the state of the art of this area. The reader will find here a deep theoretical discussion of relevant notions and ideas as well as rich inventory of algorithmic and heuristic tools for knowledge discovery by rough set methods. An extensive bibliography will help the reader to get an acquaintance with this rapidly growing area of research.

موضوع مستند نشده

Business -- Data processing.

موضوع مستند نشده

Computer science.

موضوع مستند نشده

Information technology.

شماره رده

نشانه اثر

مستند نام اشخاص تاييد نشده

edited by Lech Polkowski, Shusaku Tsumoto, Tsau Y. Lin.

مستند نام اشخاص تاييد نشده

Lech Polkowski

مستند نام اشخاص تاييد نشده

Shusaku Tsumoto

مستند نام اشخاص تاييد نشده

Tsau Y Lin

نام الکترونيکي

نوع ماده

[Book]

تكميل شده

Y