Concise case indexing of time series in health care by means of key sequence discovery

Applied Intelligence

Volumn 28, Issue 3, 2008, Pages 247-260

  Xiong, Ning ^a   Funk, Peter ^a  

^a MÄLARDALEN UNIVERSITY   (Sweden)

Author keywords

Case indexing; Case based reasoning; Key sequence discovery; Time series

Indexed keywords

BIOINFORMATICS; INDEXING (OF INFORMATION); INFORMATION RETRIEVAL; PATTERN RECOGNITION; TIME SERIES ANALYSIS;

CASE INDEXING; CONSECUTIVE DISCRETE PATTERNS; KEY SEQUENCE DISCOVERY;

CASE BASED REASONING;

EID: 43449120135     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10489-007-0059-x     Document Type: Article

References (23)

1. Aamodt A, Plaza E (1994) Case-based reasoning: foundational issues, methodological variations and systems approaches. AI Commun 7:39-59
2. Agrawal R, Srikant R (1995) Mining sequential patterns. In: Proceedings of the 11th international conference on data engineering, pp 3-14
3. Baccigalupo C, Plaza E (2006) Case-based sequential ordering of songs for playlist recommendation. In: Roth-Berghofer TR et al. (eds) Proceedings of the European conference on case-based reasoning. Springer, Berlin, pp 286-300
4. Bellazzi R, Larizza C, Riva A (1998) Temporal abstractions for interpreting diabetic patients monitoring data. Intell Data Anal 2:97-122
5. Bichindaritz I, Conlon E (1996) Temporal knowledge representation and organization for case-based reasoning. In: Proceedings TIME-96. IEEE Computer Society, Washington, pp 152-159
6. Chan KP, Fu AW (1999) Efficient time series matching by wavelets. In: Proceedings of the international conference on data engineering, pp 126-133
7. Garofalakis MN, Rajeev R, Shim K (1999) SPIRIT: sequential pattern mining with regular expressing constraints. In: Proceedings of the 25th international conference on very large data bases, pp 223-234
8. Jaere MD, Aamodt A, Skalle P (2002) Representing temporal knowledge for case-based prediction. In: Craw S, Preece A (eds) Proceedings of the European conference on case-based reasoning, pp 174-188
9. Jarmulak J, Craw S, Rowe R (2000) Genetic algorithms to optimise CBR retrieval. In: Blanzieri E, Portinale L (eds) Proceedings of the European conference on case-based reasoning. Springer, Berlin, pp 136-147
10. Martin FJ, Plaza E (2004) Ceaseless case-based reasoning. In: Funk P, Gonzales Calero PA (eds) Proceedings of the European conference on case-based reasoning. Springer, Berlin, pp 287-301
11. McSherry D (2004) Explaining the Pros and Cons of conclusions in CBR. In: Proceedings of the European conference on case-based reasoning, pp 317-330
12. Montani S et al. (2006) Case-based retrieval to support the treatment of end stage renal failure patients. Artif Intell Med 37:31-42
13. Montani S, Portinale L (2005) Case based representation and retrieval with time dependent features. In: Proceedings of the international conference on case-based reasoning. Springer, Berlin, pp 353-367
14. Nilsson M, Funk P (2004) A Case-based classification of respiratory sinus arrhythmia. In: Proceedings of the 7th European conference on case-based reasoning, Madrid. Springer, Berlin, pp 673-685
15. Olsson E, Funk P, Xiong N (2004) Fault diagnosis in industry using sensor readings and case-based reasoning. J Intell Fuzzy Syst 15:41-46
16. Perner P (2003) Incremental learning of retrieval knowledge in a case-based reasoning system. In: Ashley KD, Bridge DG (eds) Proceedings of the international conference on case-based reasoning. Springer, Berlin, pp 422-436
17. Salton G (1968) Automatic information organization and retrieval. McGraw-Hill, New York
18. Schmidt R, Heindl B, Pollwein B, Gierl L (1996) Abstraction of data and time for multiparametric time course prognoses. In: Advances of case-based reasoning. Lecture notes in artificial intelligence, vol 1168. Springer, Berlin, pp 377-391
19. von Schéele B (1999) Classification Systems for RSA, ETCO2 and other physiological parameters. PBM Stressmedicine. Technical Report, Heden 110, 82131 Bollnäs, Sweden
20. Shahar Y (1997) A framework for knowledge-based temporal abstractions. Artif Intell 90:79-133
21. Srikant R, Agrawal R (1996) Mining sequential patterns: generalizations and performance improvements. In: Proceedings of the 5th international conference on extending database technology, pp 3-17
22. Wu Y, Agrawal D, El Abbadi A (2000) A comparison of DFT and DWT based similarity search in time series databases. In: Proceedings of the 9th ACM CIKM conference on information and knowledge management, McLean, VA, pp 488-495
23. Zelikovitz S, Hirsh H (2002) Integrating background knowledge into nearest-neighbor text classification. In: Craw S, Preece A (eds) Proceedings of the European conference on case-based reasoning. Springer, Berlin, pp 1-5