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Volumn , Issue , 2004, Pages 206-215

Towards parameter-free data mining

Author keywords

Anomaly Detection; Clustering; Parameter Free Data Mining

Indexed keywords

ALGORITHMS; BIOMEDICAL ENGINEERING; CODES (SYMBOLS); COMPUTATION THEORY; DATABASE SYSTEMS; DNA; TIME SERIES ANALYSIS;

EID: 10644281769     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1014052.1014077     Document Type: Conference Paper
Times cited : (491)

References (36)
  • 1
    • 0033630766 scopus 로고    scopus 로고
    • Sequence complexity for biological sequence analysis
    • Allison, L., Stern, L., Edgoose, T., Dix, T.I. Sequence Complexity for Biological Sequence Analysis. Computers & Chemistry 24(1): 43-55 (2000)
    • (2000) Computers & Chemistry , vol.24 , Issue.1 , pp. 43-55
    • Allison, L.1    Stern, L.2    Edgoose, T.3    Dix, T.I.4
  • 3
    • 0033691587 scopus 로고    scopus 로고
    • A compression algorithm for DNA sequences and its applications in genome comparison
    • Chen, X., Kwong, S., & Li, M. A compression algorithm for DNA sequences and its applications in genome comparison. In Proceedings of RECOMB 2000: 107
    • Proceedings of RECOMB 2000 , vol.107
    • Chen, X.1    Kwong, S.2    Li, M.3
  • 6
    • 1942485278 scopus 로고    scopus 로고
    • Using the triangle inequality to accelerate k-means
    • Elkan, C. Using the triangle inequality to accelerate k-Means. In Proc. of ICML 2003. pp 147-153
    • Proc. of ICML 2003 , pp. 147-153
    • Elkan, C.1
  • 7
    • 0035789256 scopus 로고    scopus 로고
    • Magical thinking in data mining: Lessons from CoIL challenge 2000
    • Elkan, C. Magical thinking in data mining: lessons from CoIL challenge 2000. SIGKDD, 2001. pp 426-431.
    • (2001) SIGKDD , pp. 426-431
    • Elkan, C.1
  • 9
    • 84976803260 scopus 로고
    • FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets
    • Faloutsos, C., & Lin, K. FastMap: A fast algorithm for indexing, data-mining and visualization of traditional and multimedia datasets. In Proc of 24th ACM SIGMOD, 1995.
    • (1995) Proc of 24th ACM SIGMOD
    • Faloutsos, C.1    Lin, K.2
  • 11
    • 0012320945 scopus 로고    scopus 로고
    • Statistical evaluation of neural networks experiments: Minimum requirements and current practice
    • Austria
    • Flexer, A. Statistical evaluation of neural networks experiments: Minimum requirements and current practice. In Proc. of the 13th European Meeting on Cybernetics and Systems Research, vol. 2, pp 1005-1008, Austria, 1996
    • (1996) Proc. of the 13th European Meeting on Cybernetics and Systems Research , vol.2 , pp. 1005-1008
    • Flexer, A.1
  • 14
    • 0034592914 scopus 로고    scopus 로고
    • Deformable markov model templates for time-series pattern matching
    • Boston, MA, Aug 20-23
    • Ge, X. & Smyth, P. Deformable Markov model templates for time-series pattern matching. In proceedings of the 6th ACM SIGKDD. Boston, MA, Aug 20-23, 2000. pp 81-90.
    • (2000) Proceedings of the 6th ACM SIGKDD , pp. 81-90
    • Ge, X.1    Smyth, P.2
  • 17
    • 78149299418 scopus 로고    scopus 로고
    • Distance measures for effective clustering of ARIMA time-series
    • San Jose, CA
    • Kalpakis, K., Gada, D., & Puttagunta, V. Distance measures for effective clustering of ARIMA time-series. In proc. of the IEEE ICDM, 2001. San Jose, CA. pp 273-280.
    • (2001) Proc. of the IEEE ICDM , pp. 273-280
    • Kalpakis, K.1    Gada, D.2    Puttagunta, V.3
  • 18
    • 84860082796 scopus 로고    scopus 로고
    • Keogh, E. http://www.cs.ucr.edu/~eamonn/SIGKDD2004.
    • Keogh, E.1
  • 20
    • 0242709395 scopus 로고    scopus 로고
    • On the need for time series data mining benchmarks: A survey and empirical demonstration
    • Keogh, E. & Kasetty, S. On the need for time series data mining benchmarks: A survey and empirical demonstration. In Proc. of SIGKDD, 2002.
    • (2002) Proc. of SIGKDD
    • Keogh, E.1    Kasetty, S.2
  • 21
    • 78149351008 scopus 로고    scopus 로고
    • Clustering of time series subsequences is meaningless: Implications for past and future research
    • Melbourne, FL. Nov 19-22, 2003
    • Keogh, E., Lin, J., & Truppel, W. Clustering of Time Series Subsequences is Meaningless: Implications for Past and Future Research. In proc. of the 3rd IEEE ICDM, 2003. Melbourne, FL. Nov 19-22, 2003. pp 115-122.
    • (2003) Proc. of the 3rd IEEE ICDM , pp. 115-122
    • Keogh, E.1    Lin, J.2    Truppel, W.3
  • 22
    • 0035102453 scopus 로고    scopus 로고
    • An information-based sequence distance and its application to whole mitochondrial genome phytogeny
    • Li, M., Badger, J.H., Chen, X., Kwong, S, Kearney, P., & Zhang, H. An information-based sequence distance and its application to whole mitochondrial genome phytogeny. Bioinformatics 17: 149-154, 2001.
    • (2001) Bioinformatics , vol.17 , pp. 149-154
    • Li, M.1    Badger, J.H.2    Chen, X.3    Kwong, S.4    Kearney, P.5    Zhang, H.6
  • 27
  • 29
    • 0024627518 scopus 로고
    • Inferring decision trees using the minimum description length principle
    • Quinlan, J.R. & Rivest, R.L. Inferring Decision Trees Using the Minimum Description Length Principle. Information and Computation, 80:227-248, 1989.
    • (1989) Information and Computation , vol.80 , pp. 227-248
    • Quinlan, J.R.1    Rivest, R.L.2
  • 31
    • 0018015137 scopus 로고
    • Modeling by shortest data description
    • Rissanen, J. Modeling by shortest data description. Automatica, vol. 14 (1978), pp. 465-471.
    • (1978) Automatica , vol.14 , pp. 465-471
    • Rissanen, J.1
  • 32
    • 27144463192 scopus 로고    scopus 로고
    • On comparing classifiers: Pitfalls to avoid and a recommended approach
    • Salzberg, S.L. On comparing classifiers: Pitfalls to avoid and a recommended approach. Data Mining and Knowledge Discovery, 1(3), 1997.
    • (1997) Data Mining and Knowledge Discovery , vol.1 , Issue.3
    • Salzberg, S.L.1
  • 34
    • 77952414056 scopus 로고    scopus 로고
    • Indexing Multi-dimensional Time-series with support for multiple distance measures
    • August 24-27. Washington, DC, USA
    • Vlachos, M., Hadjieleftheriou, M., Gunopulos, D. & Keogh. E. Indexing Multi-Dimensional Time-Series with Support for Multiple Distance Measures. In the 9th ACM SIGKDD. August 24-27, 2003. Washington, DC, USA. pp 216-225.
    • (2003) The 9th ACM SIGKDD , pp. 216-225
    • Vlachos, M.1    Hadjieleftheriou, M.2    Gunopulos, D.3    Keogh, E.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.