Exploiting data preparation to enhance mining and knowledge discovery

IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews

Volumn 31, Issue 4, 2001, Pages 460-467

  Rajagopalan, Balaji ^a   Isken, Mark W ^a  

^a OAKLAND UNIVERSITY   (United States)

Author keywords

Clustering methods; Data mining; Health care; Knowledge engineering

Indexed keywords

COMPUTATIONAL COMPLEXITY; COMPUTER SIMULATION; DATA STRUCTURES; HEALTH CARE; HOSPITAL DATA PROCESSING; KNOWLEDGE ENGINEERING;

CLUSTERING METHODS; DATA PREPARATION; KNOWLEDGE DISCOVERY; RULE COMPLEXITY; TERTIARY CARE HOSPITAL;

DATA MINING;

EID: 0035521113     PISSN: 10946977     EISSN: None     Source Type: Journal    
DOI: 10.1109/5326.983929     Document Type: Article

References (35)

1. Text mining and the knowledge management space
2. From data mining to knowledge discovery
3. Using data mining and warehousing for knowledge discovery
4. The impact of poor data quality on the typical enterprise
5. Data as a resource: Properties, implications and prescription
6. Data quality and systems
7. Data preparation for mining World Wide Web browsing patterns
8. A product perspective on total data quality management
9. Dirty data challenges warehouses
10. Data quality in context
11. Enhancing data quality in data warehouse environments
12. Factors influencing data quality
13. Assessing data quality in accounting information systems
14. Anchoring data quality dimensions in ontological foundations
15. Data quality in neural network models: Effect of error rate and magnitude of error on predictive accuracy
16. Discovering information patterns and data cleaning
17. Design and validation of a critical care simulation model
18. An iterative estimation and validation procedure for specification of semi-Markov models with application to hospital patient flow
19. Healthcare knowledge mining in a decentralized, Web-based environment
20. An operations analysis data mart
21. Data mining to support simulation modeling of patient flow in hospitals
22. Obstetrics simulation study
23. International classification of diseases, 9th rev., clinical modification
24. Diagnosis-related groups: Understanding hospital performance
25. Efficient clustering of very large document collections
26. Transforming rules and trees into comprehensible knowledge structures
27. Inductive learning in design: A method and case study concerning design of antifriction bearing systems
28. Clinical classifications software