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