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Methodologies for Knowledge Discovery and Data Mining [2002]

1
KDD as an Enterprise IT Tool: Reality and Agenda
2
Computer Assisted Discovery of First Principle Equations from Numeric Data
3
Data Mining — a Rough Set Perspective
4
Data Mining Techniques for Associations, Clustering and Classification
5
Data Mining: Granular Computing Approach
6
Rule Extraction from Prediction Models
7
Mining Association Rules on Related Numeric Attributes
8
LGen — A Lattice-Based Candidate Set Generation Algorithm for I/O Efficient Association Rule Mining
9
Extending the Applicability of Association Rules
10
An Efficient Approach for Incremental Association Rule Mining
11
Association Rules in Incomplete Databases
12
Parallel SQL Based Association Rule Mining on Large Scale PC Cluster: Performance Comparison with Directly Coded C Implementation
13
H-Rule Mining in Heterogeneous Databases
14
An Improved Definition of Multidimensional Inter-transaction Association Rule
16
Induction as Pre-processing
17
Stochastic Attribute Selection Committees with Multiple Boosting: Learning More Accurate and More Stable Classifier Committees
18
On Information-Theoretic Measures of Attribute Importance
19
A Technique of Dynamic Feature Selection Using the Feature Group Mutual Information
20
A Data Pre-processing Method Using Association Rules of Attributes for Improving Decision Tree
21
An Algorithm for Constrained Association Rule Mining in Semi-structured Data
23
Discovering Structure from Document Databases
24
Combining Forecasts from Multiple Textual Data Sources
25
Domain Knowledge Extracting in a Chinese Natural Language Interface to Databases: NChiql
26
Evolutionary Hot Spots Data Mining
27
Efficient Search of Reliable Exceptions
28
Heuristics for Ranking the Interestingness of Discovered Knowledge
29
Automated Discovery of Plausible Rules Based on Rough Sets and Rough Inclusion
30
Discernibility System in Rough Sets
31
Automatic Labeling of Self-Organizing Maps: Making a Treasure-Map Reveal Its Secrets
32
Neural Network Based Classifiers for a Vast Amount of Data
33
Accuracy Tuning on Combinatorial Neural Model
34
A Situated Information Articulation Neural Network: VSF Network
35
Neural Method for Detection of Complex Patterns in Databases
36
Preserve Discovered Linguistic Patterns Valid in Volatility Data Environment
37
An Induction Algorithm Based on Fuzzy Logic Programming
38
Rule Discovery in Databases with Missing Values Based on Rough Set Model
39
Sustainability Knowledge Mining from Human Development Database
40
Characterization of Default Knowledge in Ripple Down Rules Method
41
Improving the Performance of Boosting for Naive Bayesian Classification
42
Convex Hulls in Concept Induction
43
Mining Classification Knowledge Based on Cloud Models
44
Robust Clusterin of Large Geo-referenced Data Sets
45
A Fast Algorithm for Density-Based Clustering in Large Database
46
A Lazy Model-Based Algorithm for On-Line Classification
47
An Efficient Space-Partitioning Based Algorithm for the K-Means Clustering
48
A Fast Clustering Process for Outliers and Remainder Clusters
49
Optimising the Distance Metric in the Nearest Neighbour Algorithm on a Real-World Patient Classification Problem
50
Classifying Unseen Cases with Many Missing Values
51
Study of a Mixed Similarity Measure for Classification and Clustering
52
Visually Aided Exploration of Interesting Association Rules
53
DVIZ: A System for Visualizing Data Mining
54
A Minimal Causal Model Learner
56
Basket Analysis for Graph Structured Data
57
The Evolution of Causal Models: A Comparison of Bayesian Metrics and Structure Priors
58
KD-FGS: A Knowledge Discovery System from Graph Data Using Formal Graph System
59
Probing Knowledge in Distributed Data Mining
60
Discovery of Equations and the Shared Operational Semantics in Distributed Autonomous Databases
61
The Data-Mining and the Technology of Agents to Fight the Illicit Electronic Messages
62
Knowledge Discovery in SportsFinder: An Agent to Extract Sports Results from the Web
63
Event Mining with Event Processing Networks
64
An Analysis of Quantitative Measures Associated with Rules
65
A Strong Relevant Logic Model of Epistemic Processes in Scientific Discovery
66
Discovering Conceptual Differences among Different People via Diverse Structures
67
Ordered Estimation of Missing Values
68
Prediction Rule Discovery Based on Dynamic Bias Selection
69
Discretization of Continuous Attributes for Learning Classification Rules
70
BRRA: A Based Relevant Rectangles Algorithm for Mining Relationships in Databases
71
Mining Functional Dependency Rule of Relational Database
72
Time-Series Prediction with Cloud Models in DMKD
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