Data Mining and Knowledge Discovery:
Slide 1 of 36
1: Data Mining and Knowledge Discovery:
2: Outline
3: 1. Introduction
4: Monotone Boolean Functions (MBFs)
5: Some Illustrative Applications
6: Example MBFs
7: The Main Problem
8: The Inference Process: Problem # 1
9: Problem # 2: Inference of a
10: Problem # 2.1: Sequential Inference
11: The Inference Process:Problem # 2.1
12: Problem # 2.2: Simultaneous Inference from a Single Oracle
13: The Inference Process: Problem # 2.2
14: Problem # 2.3: Simultaneous Inference from Two Oracles
15: The Inference Process: Problem # 2.3
16: Problem # 3: Inferring a MBF
17: The Main Goal
18: 2. Background Information
19: Existing Algorithms for Problem # 1
20: 3. Objectives
21: Minimizing the Average
22: 4. Methodology
23: Methodology for Problem # 2
24: Methodology for Problem # 3
25: Randomly Generating MBFs
26: 5. Experimental Results
27: Slide 27
28: Slide 28
29: Slide 29
30: Slide 30
31: Slide 31
32: 6. Concluding Remarks
33: Significance of the Research Findings
34: Future Research Directions
35: References by the Author
36: Acknowledgements
