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Volumn , Issue , 2011, Pages 358-365

A pattern mining approach for classifying multivariate temporal data

Author keywords

electronic health records; minimal predictive temporal patterns; multivariate time series classification; patient monitoring; temporal pattern mining

Indexed keywords

CLASSIFICATION FEATURES; CLASSIFICATION MODELS; CLASSIFICATION TASKS; CLINICAL MONITORING; CLINICAL TASKS; ELECTRONIC HEALTH RECORD; ELECTRONIC HEALTH RECORD SYSTEMS; MULTIVARIATE TIME SERIES; PATTERN MINING; TEMPORAL ABSTRACTION; TEMPORAL ASPECTS; TEMPORAL DATA; TEMPORAL PATTERN; TEMPORAL PATTERN MINING; TEMPORAL PATTERN MININGS; THROMBOCYTOPENIA;

EID: 84856065603     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2011.39     Document Type: Conference Paper
Times cited : (56)

References (26)
  • 1
    • 50949133035 scopus 로고    scopus 로고
    • Classification of multivariate time series using two-dimensional singular value decomposition
    • X. Weng and J. Shen, "Classification of multivariate time series using two-dimensional singular value decomposition,"Knowledge-Based Systems, vol. 21, pp. 535-539, 2008.
    • (2008) Knowledge-Based Systems , vol.21 , pp. 535-539
    • Weng, X.1    Shen, J.2
  • 2
    • 80052675972 scopus 로고    scopus 로고
    • Parsimonious linear fingerprinting for time series
    • L. Li, B. A. Prakash, and C. Faloutsos, "Parsimonious linear fingerprinting for time series," PVLDB, 2010.
    • (2010) PVLDB
    • Li, L.1    Prakash, B.A.2    Faloutsos, C.3
  • 3
    • 77950840279 scopus 로고    scopus 로고
    • A supervised time series feature extraction technique using dct and dwt
    • I. Batal and M. Hauskrecht, "A supervised time series feature extraction technique using dct and dwt," in ICMLA, 2009.
    • (2009) ICMLA
    • Batal, I.1    Hauskrecht, M.2
  • 4
    • 0031069719 scopus 로고    scopus 로고
    • A Framework for Knowledge-Based Temporal Abstraction
    • Y. Shahar, "A Framework for Knowledge-Based Temporal Abstraction," Artificial Intelligence, 90:79-133, 1997.
    • (1997) Artificial Intelligence , vol.90 , pp. 79-133
    • Shahar, Y.1
  • 5
    • 0021466185 scopus 로고
    • TOWARDS A GENERAL THEORY OF ACTION AND TIME.
    • DOI 10.1016/0004-3702(84)90008-0
    • F. Allen, "Towards a general theory of action and time."Artificial Intelligence, 23:123-154, 1984. (Pubitemid 14646897)
    • (1984) Artificial Intelligence , vol.23 , Issue.2 , pp. 123-154
    • Allen, J.F.1
  • 6
    • 78651269848 scopus 로고    scopus 로고
    • Constructing classification features using minimal predictive patterns
    • I. Batal and M. Hauskrecht, "Constructing classification features using minimal predictive patterns," in CIKM, 2010.
    • (2010) CIKM
    • Batal, I.1    Hauskrecht, M.2
  • 7
  • 8
    • 34548094159 scopus 로고    scopus 로고
    • Discovering frequent arrangements of temporal intervals
    • P. Papapetrou, G. Kollios, and S. Sclaroff, "Discovering frequent arrangements of temporal intervals," in ICDM, 2005.
    • (2005) ICDM
    • Papapetrou, P.1    Kollios, G.2    Sclaroff, S.3
  • 9
    • 33749545750 scopus 로고    scopus 로고
    • Algorithms for time series knowledge mining
    • F. Moerchen, "Algorithms for time series knowledge mining,"in SIGKDD, 2006, pp. 668-673.
    • (2006) SIGKDD , pp. 668-673
    • Moerchen, F.1
  • 10
    • 34247574865 scopus 로고    scopus 로고
    • Mining nonambiguous temporal patterns for interval-based events
    • DOI 10.1109/TKDE.2007.190613
    • S.-Y. Wu and Y.-L. Chen, "Mining nonambiguous temporal patterns for interval-based events," IEEE Trans. on Knowledge and Data Engineering, vol. 19, pp. 742-758, 2007. (Pubitemid 46685653)
    • (2007) IEEE Transactions on Knowledge and Data Engineering , vol.19 , Issue.6 , pp. 742-758
    • Wu, S.-Y.1    Chen, Y.-L.2
  • 11
    • 79953787924 scopus 로고    scopus 로고
    • Medical temporal-knowledge discovery via temporal abstraction
    • R. Moskovitch and Y. Shahar, "Medical temporal-knowledge discovery via temporal abstraction," in AMIA, 2009.
    • (2009) AMIA
    • Moskovitch, R.1    Shahar, Y.2
  • 12
    • 34250202878 scopus 로고    scopus 로고
    • ARMADA - An algorithm for discovering richer relative temporal association rules from interval-based data
    • DOI 10.1016/j.datak.2006.10.009, PII S0169023X06001935, Data Warehouse and Knowledge Discovery (DAWAK '05)
    • E. Winarko and J. F. Roddick, "Armada - an algorithm for discovering richer relative temporal association rules from interval-based data," Data and Knowledge Engineering, vol. 63, pp. 76-90, 2007. (Pubitemid 46899256)
    • (2007) Data and Knowledge Engineering , vol.63 , Issue.1 , pp. 76-90
    • Winarko, E.1    Roddick, J.F.2
  • 14
    • 0029212693 scopus 로고
    • Mining sequential patterns
    • R. Agrawal and R. Srikant, "Mining sequential patterns," in ICDE, 1995.
    • (1995) ICDE
    • Agrawal, R.1    Srikant, R.2
  • 15
    • 0034826102 scopus 로고    scopus 로고
    • SPADE: An efficient algorithm for mining frequent sequences
    • DOI 10.1023/A:1007652502315
    • M. Zaki, "Spade: An efficient algorithm for mining frequent sequences," Machine Learning, vol. 42, pp. 31-60, 2001. (Pubitemid 32872398)
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 31-60
    • Zaki, M.J.1
  • 17
    • 84856027177 scopus 로고    scopus 로고
    • Feature importance analysis for patient management decisions
    • M. Valko and M. Hauskrecht, "Feature importance analysis for patient management decisions," in MedInfo, 2010.
    • (2010) MedInfo
    • Valko, M.1    Hauskrecht, M.2
  • 18
    • 0002221136 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • R. Agrawal and R. Srikant, "Fast algorithms for mining association rules in large databases," in VLDB, 1994.
    • (1994) VLDB
    • Agrawal, R.1    Srikant, R.2
  • 20
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Y. Benjamini and Y. Hochberg, "Controlling the false discovery rate: A practical and powerful approach to multiple testing," Journal of the Royal Statistical Society, vol. 57, no. 1, pp. 289-300, 1995.
    • (1995) Journal of the Royal Statistical Society , vol.57 , Issue.1 , pp. 289-300
    • Benjamini, Y.1    Hochberg, Y.2
  • 21
    • 0038392539 scopus 로고    scopus 로고
    • Heparin-induced thrombocytopenia: Pathogenesis and management
    • T. Warkentin, "Heparin-induced thrombocytopenia: pathogenesis and management," British Journal of Haematology, vol. 121, pp. 535-555, 2000.
    • (2000) British Journal of Haematology , vol.121 , pp. 535-555
    • Warkentin, T.1
  • 23
    • 33646763480 scopus 로고    scopus 로고
    • Argatroban dosing of patients with heparin-induced thrombocytopenia and an elevated aPTT due to antiphospholipid antibody syndrome
    • DOI 10.1345/aph.1G319
    • R. Pendelton, M. Wheeler, and G. Rodgers, "Argatroban dosing of patients with heparin-induced thrombocytopenia and an elevated aptt due to antiphospholipid antibody syndrome,"The Annals of Pharmacotherapy, vol. 40, pp. 972-976, 2006. (Pubitemid 43765017)
    • (2006) Annals of Pharmacotherapy , vol.40 , Issue.5 , pp. 972-976
    • Pendleton, R.1    Wheeler, M.M.2    Rodgers, G.M.3
  • 24
    • 34548741255 scopus 로고    scopus 로고
    • Discriminative frequent pattern analysis for effective classification
    • H. Cheng, X. Yan, J. Han, and C. wei Hsu, "Discriminative frequent pattern analysis for effective classification," in ICDE, 2007.
    • (2007) ICDE
    • Cheng, H.1    Yan, X.2    Han, J.3    Wei Hsu, C.4
  • 25
    • 24344484786 scopus 로고    scopus 로고
    • Frequent substructure-based approaches for classifying chemical compounds
    • DOI 10.1109/TKDE.2005.127, Mining Biological Data
    • M. Deshpande, M. Kuramochi, N. Wale, and G. Karypis, "Frequent substructure-based approaches for classifying chemical compounds," IEEE Trans. on Knowledge and Data Engineering, vol. 17, pp. 1036-1050, 2005. (Pubitemid 41259847)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.8 , pp. 1036-1050
    • Deshpande, M.1    Kuramochi, M.2    Wale, N.3    Karypis, G.4
  • 26
    • 70349927871 scopus 로고    scopus 로고
    • Cbs: A new classification method by using sequential patterns
    • V. S.-M. Tseng and C.-H. Lee, "Cbs: A new classification method by using sequential patterns," in SDM, 2005.
    • (2005) SDM
    • Tseng, V.S.-M.1    Lee, C.-H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.