Statistical Challenges to Inductive Inference in Linked Data

AAAI Fall Symposium - Technical Report

Volumn FS-98-01, Issue , 1998, Pages 59-62

  Jensen, David ^a  

^a Biologically Inspired Neural and Dynamical Systems Laboratory   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85169823509     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Cohen, P.R. (1995). EmpiricalMethodsfor Artificial Intelligence. MITPress.
2. Edgington, E.S. (1995). RandomizationTests. Marcel Dekker.
3. Goldberg, H., and T. Senator (1995). Restructuring databases for knowledgediscovery by consolidation and link formation. Proceedings of the First International Conference on KnowledgeDiscovery and Data Mining. AAAIPress.
4. Jensen, D. (1997). Prospective assessment of AI technologies for fraud detection: Acase study. AIApproaches to FraudDetection and Risk Management, Collected Papers from the 1997Workshop.Technical Report WS-97-07.AAAIPress.
5. Jensen, D. (1992). Induction with RandomizationTesting. Dissertation. WashingtonUniversity.
6. Jensen, D. and P.R. Cohen(1998). Multiple comparisons in induction algorithms. MachineLearning (to appear). Earlier versions of this workwerepresented at the 1997Workshopon AI and Statistics.
7. Milgram, S. (1967). Thesmall-world problem. PsychologyToday1(1): 60-76.