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Discovering similar patterns in time series
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Source International Conference on Knowledge Discovery and Data Mining archive
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Boston, Massachusetts, United States
Pages: 497 - 505  
Year of Publication: 2000
ISBN:1-58113-233-6
Authors
Juan P. Caraça-Valente  Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660 Boadilla del Monte, Spain
Ignacio López-Chavarrías  Universidad Politécnica de Madrid, Campus de Montegancedo, s/n, 28660 Boadilla del Monte, Spain
Sponsors
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 12,   Downloads (12 Months): 86,   Citation Count: 12
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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  12
Yuya Matsuo , Miki Amano , Kuniaki Uehara, Mining video editing rules in video streams, Proceedings of the tenth ACM international conference on Multimedia, December 01-06, 2002, Juan-les-Pins, France
Jessica Lin , Eamonn Keogh , Stefano Lonardi , Jeffrey P. Lankford , Donna M. Nystrom, Visually mining and monitoring massive time series, Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining, August 22-25, 2004, Seattle, WA, USA
 
Piotr Synak , Jan G. Bazan , Andrzej Skowron , James F. Peters, Spatio-Temporal Approximate Reasoning over Complex Objects, Fundamenta Informaticae, v.67 n.1-3, p.249-269, January 2005
Xiaoming Jin , Yuchang Lu , Chunyi Shi, Similarity measure based on partial information of time series, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, July 23-26, 2002, Edmonton, Alberta, Canada
 
Yoshiki Tanaka , Kazuhisa Iwamoto , Kuniaki Uehara, Discovery of Time-Series Motif from Multi-Dimensional Data Based on MDL Principle, Machine Learning, v.58 n.2-3, p.269-300, February 2005
 
Andrzej Skowron , Piotr Synak, Reasoning in information maps, Fundamenta Informaticae, v.59 n.2-3, p.241-259, February 2004
Bill Chiu , Eamonn Keogh , Stefano Lonardi, Probabilistic discovery of time series motifs, Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, August 24-27, 2003, Washington, D.C.
Eamonn Keogh , Shruti Kasetty, On the need for time series data mining benchmarks: a survey and empirical demonstration, Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, July 23-26, 2002, Edmonton, Alberta, Canada
 
Eamonn Keogh , Shruti Kasetty, On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration, Data Mining and Knowledge Discovery, v.7 n.4, p.349-371, October 2003
Jessica Lin , Eamonn Keogh , Stefano Lonardi, Visualizing and discovering non-trivial patterns in large time series databases, Information Visualization, v.4 n.2, p.61-82, July 2005
 
Chun-Hao Chen , Tzung-Pei Hong , Vincent S. Tseng, Mining fuzzy frequent trends from time series, Expert Systems with Applications: An International Journal, v.36 n.2, p.4147-4153, March, 2009
 
Ernestina Menasalvas , Oscar Marbán , Socorro Millán , Jose M. Peña, Intelligent Web mining, Intelligent exploration of the web, Physica-Verlag GmbH, Heidelberg, Germany, 2003

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

Additional Classification:
  G. Mathematics of Computing
  G.3 PROBABILITY AND STATISTICS
      Subjects: Time series analysis

  I. Computing Methodologies
  I.2 ARTIFICIAL INTELLIGENCE
      I.2.1 Applications and Expert Systems
          Subjects: Medicine and science

  J. Computer Applications
  J.3 LIFE AND MEDICAL SCIENCES
      Subjects: Health


General Terms:
Algorithms, Design, Human Factors, Management, Measurement, Performance, Theory


Keywords:
data mining, knowledge discovery, time series

Collaborative Colleagues:
Juan P. Caraça-Valente: colleagues
Ignacio López-Chavarrías: colleagues

Peer to Peer - Readers of this Article have also read:

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