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Journals
Archaeology International
Architecture_MPS
Europe and the World: A law review
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International Journal of Development Education and Global Learning
International Journal of Social Pedagogy
Jewish Historical Studies: A Journal of English-Speaking Jewry
Journal of Bentham Studies
London Review of Education
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Research for All
The Journal of the Sylvia Townsend Warner Society
The London Journal of Canadian Studies
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About UCL Press
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Information Fusion in Data Mining
Rough Sets in Economic Applications
other
Author(s):
Adam Mrózek
,
Krzysztof Skabek
Publication date
(Print):
1998
Publisher:
Physica-Verlag HD
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Cardiovascular Innovations and Applications
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Rough sets
Zdzis?aw Pawlak
(1982)
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A Machine-Oriented Logic Based on the Resolution Principle
Philip J A Robinson
(1965)
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LERS-A System for Learning from Examples Based on Rough Sets
Jerzy W. Grzymala-Busse
(1992)
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Book Chapter
Publication date (Print):
1998
Pages
: 238-271
DOI:
10.1007/978-3-7908-1883-3_13
SO-VID:
33febed8-b9f5-4fae-b6dd-2f231e223013
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Book chapters
pp. 1
Trends in Information fusion in Data Mining
pp. 1
Introducing the Book
pp. 9
On some aggregation operators for numerical information
pp. 13
Rough Approximation of a Preference Relation in a Pairwise Comparison Table
pp. 27
Choquet integral and Sugeno integral as aggregation functions
pp. 37
Learning Decision Rules from Similarity Based Rough Approximations
pp. 41
Data Mining Using a Probabilistic Weighted Ordered Weighted Average (PWOWA) Operator
pp. 55
Discovery of Data Patterns with Applications to Decomposition and Classification Problems
pp. 61
Mining Interesting Patterns in Multiple Data Sources
pp. 79
Discovery of Temporal Knowledge in Medical Time-Series Databases using Moving Average, Multiscale Matching and Rule Induction
pp. 98
Answering Non-Standard Queries in Distributed Knowledge-Based Systems
pp. 101
Record linkage methods for multidatabase data mining
pp. 109
Approximation Spaces, Reducts and Representatives
pp. 127
Data Mining: A Probabilistic Rough Set Approach
pp. 147
Soft Processing of Audio Signals
pp. 161
Combining Information Fusion with String Pattern Analysis: A New Method for Predicting Future Purchase Behavior
pp. 166
A Rough Set Approach to Information Retrieval
pp. 178
Extraction Method Based on Rough Set Theory of Rule-Type Knowledge from Diagnostic Cases of Slope-Failure Danger Levels
pp. 189
Ensembling Classification Systems by a Fuzzy Rule-Based System
pp. 193
Soft Computing-Based Recognition of Musical Sounds
pp. 211
Data Mining Using Granular Linguistic Summaries
pp. 214
Rough Sets in Industrial Applications
pp. 238
Rough Sets in Economic Applications
pp. 272
Multistage Rough Set Analysis of Therapeutic Experience with Acute Pancreatitis
pp. 295
Reduction Methods for Medical Data
pp. 307
Formalization and Induction of Medical Expert System Rules Based on Rough Set Theory
pp. 324
Rough Sets for Database Marketing
pp. 336
A New Halftoning Method Based on Error Diffusion with Rough Set Filtering
pp. 345
IRIS Revisited: A Comparison of Discriminant and Enhanced Rough Set Data Analysis
pp. 369
Applications of Rough Patterns
pp. 385
Time and Clock Information Systems: Concepts and Roughly Fuzzy Petri Net Models
pp. 418
The Synthesis Problem of Concurrent Systems Specified by Dynamic Information Systems
pp. 449
Rough Sets and Artificial Neural Networks
pp. 471
Genetic Algorithms in Decomposition and Classification Problems
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