ISBN: 379081461X
TITLE: Data Mining, Rough Sets, and Granular Computing
AUTHOR: Lin et al.
TOC:
Preface V
T.Y. Lin, Y.Y. Yao and L. A. Zadeh
PART 1: GRANULAR COMPUTING - A NEW PARADIGM
Some Reflections on Information Granulation and its Centrality in Granular Computing, Computing with Words, the Computational Theory of Perceptions and Precisiated Natura1 Language 3
L.A. Zadeh
PART 2: GRANULAR COMPUTING IN DATA MINING
Data Mining Using Granular Computing: Fast Algorithms for Finding Association Rules 23
T.Y. Lin and E. Louie
Knowledge Discovery with Words Using Cartesian Granule Features: An Analysis for Classification Problems 46
J.G. Shanahan
Validation of Concept Representation with Rule Induction and Linguistic Variables 91
S. Tsumoto
Granular- Computing Using Information Tables 102
Y.Y. Yao and N. Zhong
A Query-Driven Interesting Rule Discovery Using Association and Spanning Operations 125
J.P. Yoon and L. Kerschberg
PART 3: DATA MINING
An Interactive Visualization System for Mining Association Rules 145
J. Han, N. Cercone and X. Hu
Algorithms for Mining System Audit Data 166
W. Lee, S.J. Stolfo and K.W. Mok
Scoring and Ranking the Data Using Association Rules 190
B. Liu, Y. Ma and C.K. Wong
Finding Unexpected Patterns in Data 216
B. Padmanabhan and A. Tuzhilin
Discovery of Approximate Knowledge in Medical Databases Based on Rough Set Model 232
S. Tsumoto
PART 4: GRANULAR COMPUTING
Observability and the Case of Probability 249
C. Alsina, J. Jacas and E. Trillas
Granulation and Granularity via Conceptual Structures: A Perspective From the Point of View of Fuzzy Concept Lattices 265
R. Belohlávek
Granular Computing with Closeness and Negligibility Relations 290
D. Dubois, A. Hadj-Ali and H. Prade
Application of Granularity Computing to Confirm Compliance with Non-Proliferation Treaty 308
A. Fattah, V. Pouchkarev, A.Belenki, A.Ryjov and L.A. Zadeh
Basic Issues of Computing with Granular Probabilities 339
G.J. Klir
Multi-dimensional Aggregation of Fuzzy Numbers Through the Extension Principle 350
G. Mayor, A.R. de Soto, J. Suñer and E. Trillas
On Optimal Fuzzy Information Granulation 364
A. Ryjov
Ordinal Decision Making with a Notion of Acceptable: Denoted Ordinal Scales 398
R.R. Yager
A Framework for Building Intelligent Information-Processing Systems Based on Granular Factor Space 414
F. Yu and C. Huang
PART 5: ROUGH SETS AND GRANULAR COMPUTING
GRS: A Generalited Rough Sets Model 447
X. Hu, N. Cercone, J. Han and W. Ziarko
Structure of Upper and Lower Approximation Spaces of Infinite Sets 461
D.S. Malik and J.N. Mordeson
Indexed Rough Approximations, A Polymodal System, and Generalized Possibility Measures 474
S. Miyamoto
Granularity, Multi-valued Logic, Bayes' Theorem and Rough Sets 487
Z. Pawlak
The Generic Rough Set Inductive Logic Programming (gRS-ILP) Model 499
A. Siromoney and K. Inoue
Possibilistic Data Analysis and Its Similarity to Rough Sets 518
H. Tanaka and P. Guo
END