메뉴 건너뛰기




Volumn 47, Issue 10, 2017, Pages 2688-2703

Efficient classification of long time series by 3-D dynamic time warping

Author keywords

Approximation methods; dynamic time warping (DTW); time series classification (TSC)

Indexed keywords

QUALITY CONTROL;

EID: 85019932696     PISSN: 21682216     EISSN: 21682232     Source Type: Journal    
DOI: 10.1109/TSMC.2017.2699333     Document Type: Article
Times cited : (46)

References (54)
  • 1
    • 0028447023 scopus 로고
    • Fast subsequence matching in time-series databases
    • Jun
    • C. Faloutsos, M. Ranganathan, and Y. Manolopoulos, "Fast subsequence matching in time-series databases," SIGMOD Rec., vol. 23, no. 2, pp. 419-429, Jun. 1994. [Online]. Available: http://doi.acm.org/10.1145/191843.191925
    • (1994) SIGMOD Rec , vol.23 , Issue.2 , pp. 419-429
    • Faloutsos, C.1    Ranganathan, M.2    Manolopoulos, Y.3
  • 2
    • 0003036581 scopus 로고
    • Dynamic programming algorithm optimization for spoken word recognition
    • A. Waibel and K.-F. Lee, Eds. San Francisco, CA, USA: Morgan Kaufmann
    • H. Sakoe and S. Chiba, "Dynamic programming algorithm optimization for spoken word recognition," in Readings in Speech Recognition, A. Waibel and K.-F. Lee, Eds. San Francisco, CA, USA: Morgan Kaufmann, 1990, pp. 159-165. [Online]. Available: http://dl.acm.org/citation.cfm?id=108235.108244
    • (1990) Readings in Speech Recognition , pp. 159-165
    • Sakoe, H.1    Chiba, S.2
  • 3
    • 0000286376 scopus 로고
    • Using dynamic time warping to find patterns in time series
    • Seattle, WA, USA
    • D. J. Berndt and J. Clifford, "Using dynamic time warping to find patterns in time series," in Proc. KDD Workshop, Seattle, WA, USA, 1994, pp. 359-370. [Online]. Available: http://dblp.uni-trier.de/db/conf/kdd/kdd94.html#BerndtC94
    • (1994) Proc. KDD Workshop , pp. 359-370
    • Berndt, D.J.1    Clifford, J.2
  • 4
    • 0042711018 scopus 로고    scopus 로고
    • On the need for time series data mining benchmarks: A survey and empirical demonstration
    • Oct
    • E. Keogh and S. Kasetty, "On the need for time series data mining benchmarks: A survey and empirical demonstration," Data Min. Knowl. Discov., vol. 7, no. 4, pp. 349-371, Oct. 2003. [Online]. Available: http://dx.doi.org/10.1023/A:1024988512476
    • (2003) Data Min. Knowl. Discov , vol.7 , Issue.4 , pp. 349-371
    • Keogh, E.1    Kasetty, S.2
  • 6
    • 84867136666 scopus 로고    scopus 로고
    • Querying and mining of time series data: Experimental comparison of representations and distance measures
    • Aug
    • H. Ding, G. Trajcevski, P. Scheuermann, X. Wang, and E. Keogh, "Querying and mining of time series data: Experimental comparison of representations and distance measures," Proc. VLDB Endowment, vol. 1, no. 2, pp. 1542-1552, Aug. 2008. [Online]. Available: http://dx.doi.org/10.14778/1454159.1454226
    • (2008) Proc. VLDB Endowment , vol.1 , Issue.2 , pp. 1542-1552
    • Ding, H.1    Trajcevski, G.2    Scheuermann, P.3    Wang, X.4    Keogh, E.5
  • 7
    • 84939218581 scopus 로고    scopus 로고
    • Time series classification with ensembles of elastic distance measures
    • J. Lines and A. Bagnall, "Time series classification with ensembles of elastic distance measures," Data Min. Knowl. Disc., vol. 29, no. 3, pp. 565-592, 2015
    • (2015) Data Min. Knowl. Disc , vol.29 , Issue.3 , pp. 565-592
    • Lines, J.1    Bagnall, A.2
  • 8
    • 36249030317 scopus 로고    scopus 로고
    • Learned models for continuous planning
    • M. D. Schmill, T. Oates, and P. R. Cohen, "Learned models for continuous planning," in Proc. AISTATS, 1999, pp. 278-282
    • (1999) Proc. AISTATS , pp. 278-282
    • Schmill, M.D.1    Oates, T.2    Cohen, P.R.3
  • 10
    • 84887104805 scopus 로고    scopus 로고
    • Effect of sleep deprivation on functional connectivity of EEG channels
    • May
    • S. Kar and A. Routray, "Effect of sleep deprivation on functional connectivity of EEG channels," IEEE Trans. Syst., Man, Cybern., Syst., vol. 43, no. 3, pp. 666-672, May 2013
    • (2013) IEEE Trans. Syst., Man, Cybern., Syst , vol.43 , Issue.3 , pp. 666-672
    • Kar, S.1    Routray, A.2
  • 11
    • 56449129923 scopus 로고    scopus 로고
    • Automated identification of chromosome segments involved in translocations by combining spectral karyotyping and banding analysis
    • Nov
    • B. Legrand, C. S. Chang, S.-H. Ong, S.-Y. Neo, and N. Palanisamy, "Automated identification of chromosome segments involved in translocations by combining spectral karyotyping and banding analysis," IEEE Trans. Syst., Man, Cybern. A, Syst., Humans, vol. 38, no. 6, pp. 1374-1384, Nov. 2008
    • (2008) IEEE Trans. Syst., Man, Cybern. A, Syst., Humans , vol.38 , Issue.6 , pp. 1374-1384
    • Legrand, B.1    Chang, C.S.2    Ong, S.-H.3    Neo, S.-Y.4    Palanisamy, N.5
  • 12
    • 85014865555 scopus 로고    scopus 로고
    • Online signature verification based on stable features extracted dynamically
    • to be published
    • X. Song, X. Xia, and F. Luan, "Online signature verification based on stable features extracted dynamically," IEEE Trans. Syst., Man, Cybern., Syst., to be published
    • IEEE Trans. Syst., Man, Cybern., Syst
    • Song, X.1    Xia, X.2    Luan, F.3
  • 13
    • 84866037385 scopus 로고    scopus 로고
    • Searching and mining trillions of time series subsequences under dynamic time warping
    • Beijing, China
    • T. Rakthanmanon et al., "Searching and mining trillions of time series subsequences under dynamic time warping," in Proc. 18th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. (KDD), Beijing, China, 2012, pp. 262-270. [Online]. Available: http://doi.acm.org/10.1145/2339530.2339576
    • (2012) Proc. 18th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. (KDD) , pp. 262-270
    • Rakthanmanon, T.1
  • 15
    • 84866041459 scopus 로고    scopus 로고
    • A complexityinvariant distance measure for time series
    • Mesa, AZ, USA
    • G. E. A. P. A. Batista, X. Wang, and E. J. Keogh, "A complexityinvariant distance measure for time series," in Proc. SDM, Mesa, AZ, USA, 2011, pp. 699-710. [Online]. Available: http://dblp.uni-trier.de/db/conf/sdm/sdm2011.html#BatistaWK11
    • (2011) Proc. SDM , pp. 699-710
    • Batista, G.E.A.P.A.1    Wang, X.2    Keogh, E.J.3
  • 16
    • 84894600764 scopus 로고    scopus 로고
    • CID: An efficient complexity-invariant distance for time series
    • May
    • G. E. A. P. A. Batista, E. J. Keogh, O. M. Tataw, and V. M. A. Souza, "CID: An efficient complexity-invariant distance for time series," Data Min. Knowl. Disc., vol. 28, no. 3, pp. 634-669, May 2014. [Online]. Available: http://dx.doi.org/10.1007/s10618-013-0312-3
    • (2014) Data Min. Knowl. Disc , vol.28 , Issue.3 , pp. 634-669
    • Batista, G.E.A.P.A.1    Keogh, E.J.2    Tataw, O.M.3    Souza, V.M.A.4
  • 17
    • 28444432990 scopus 로고    scopus 로고
    • A multiresolution symbolic representation of time series
    • Tokyo, Japan
    • V. Megalooikonomou, Q. Wang, G. Li, and C. Faloutsos, "A multiresolution symbolic representation of time series," in Proc. 21st Int. Conf. Data Eng. (ICDE), Tokyo, Japan, 2005, pp. 668-679. [Online]. Available: http://dx.doi.org/10.1109/ICDE.2005.10
    • (2005) Proc. 21st Int. Conf. Data Eng. (ICDE) , pp. 668-679
    • Megalooikonomou, V.1    Wang, Q.2    Li, G.3    Faloutsos, C.4
  • 18
    • 34250727441 scopus 로고    scopus 로고
    • Three myths about dynamic time warping data mining
    • Newport Beach, CA, USA
    • C. Ratanamahatana and E. J. Keogh, "Three myths about dynamic time warping data mining," in Proc. SDM, Newport Beach, CA, USA, 2005, pp. 506-510
    • (2005) Proc. SDM , pp. 506-510
    • Ratanamahatana, C.1    Keogh, E.J.2
  • 20
    • 77954325383 scopus 로고    scopus 로고
    • Unsupervised learning motion models using dynamic time warping
    • Berlin, Germany: Springer-Verlag
    • M. Kulbacki and A. Bak, "Unsupervised learning motion models using dynamic time warping," in Intelligent Information Systems 2002. Berlin, Germany: Springer-Verlag, 2002, pp. 217-226
    • (2002) Intelligent Information Systems 2002 , pp. 217-226
    • Kulbacki, M.1    Bak, A.2
  • 21
    • 79957533818 scopus 로고    scopus 로고
    • Weighted dynamic time warping for time series classification
    • Sep
    • Y.-S. Jeong, M. K. Jeong, and O. A. Omitaomu, "Weighted dynamic time warping for time series classification," Pattern Recognit., vol. 44, no. 9, pp. 2231-2240, Sep. 2011. [Online]. Available: http://dx.doi.org/10.1016/j.patcog.2010.09.022
    • (2011) Pattern Recognit , vol.44 , Issue.9 , pp. 2231-2240
    • Jeong, Y.-S.1    Jeong, M.K.2    Omitaomu, O.A.3
  • 22
    • 84996721530 scopus 로고    scopus 로고
    • The great time series classification bake off: A review and experimental evaluation of recent algorithmic advances
    • A. Bagnall, J. Lines, A. Bostrom, J. Large, and E. Keogh, "The great time series classification bake off: A review and experimental evaluation of recent algorithmic advances," Data Min. Knowl. Disc., vol. 31, no. 3, pp. 606-660, 2017
    • (2017) Data Min. Knowl. Disc , vol.31 , Issue.3 , pp. 606-660
    • Bagnall, A.1    Lines, J.2    Bostrom, A.3    Large, J.4    Keogh, E.5
  • 23
    • 84931089584 scopus 로고
    • Minimum prediction residual principle applied to speech recognition
    • A. Waibel and K.-F. Lee, Eds. San Francisco, CA, USA: Morgan Kaufmann
    • F. Itakura, "Minimum prediction residual principle applied to speech recognition," in Readings in Speech Recognition, A. Waibel and K.-F. Lee, Eds. San Francisco, CA, USA: Morgan Kaufmann, 1990, pp. 154-158. [Online]. Available: http://dl.acm.org/ citation.cfm?id=108235.108243
    • (1990) Readings in Speech Recognition , pp. 154-158
    • Itakura, F.1
  • 24
    • 2942525700 scopus 로고    scopus 로고
    • Making time-series classification more accurate using learned constraints
    • Lake Buena Vista, FL, USA
    • C. A. Ratanamahatana and E. Keogh, "Making time-series classification more accurate using learned constraints," in Proc. SDM Int. Conf., Lake Buena Vista, FL, USA, 2004, pp. 11-22
    • (2004) Proc. SDM Int. Conf , pp. 11-22
    • Ratanamahatana, C.A.1    Keogh, E.2
  • 25
    • 67649522909 scopus 로고    scopus 로고
    • Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures
    • Jun
    • E. Keogh et al., "Supporting exact indexing of arbitrarily rotated shapes and periodic time series under Euclidean and warping distance measures," Very Large Data Bases J., vol. 18, no. 3, pp. 611-630, Jun. 2009. [Online]. Available: http://dx.doi.org/10.1007/s00778-008-0111-4
    • (2009) Very Large Data Bases J , vol.18 , Issue.3 , pp. 611-630
    • Keogh, E.1
  • 26
    • 0034995991 scopus 로고    scopus 로고
    • An index-based approach for similarity search supporting time warping in large sequence databases
    • Heidelberg, Germany
    • S.-W. Kim, S. Park, and W. W. Chu, "An index-based approach for similarity search supporting time warping in large sequence databases," in Proc. ICDE, Heidelberg, Germany, 2001, pp. 607-614
    • (2001) Proc. ICDE , pp. 607-614
    • Kim, S.-W.1    Park, S.2    Chu, W.W.3
  • 27
    • 45749103986 scopus 로고    scopus 로고
    • Scaling and time warping in time series querying
    • Jul
    • A. W.-C. Fu, E. Keogh, L. Y. Lau, C. A. Ratanamahatana, and R. C.-W. Wong, "Scaling and time warping in time series querying," Very Large Data Bases J., vol. 17, no. 4, pp. 899-921, Jul. 2008. [Online]. Available: http://dx.doi.org/10.1007/ s00778-006-0040-z
    • (2008) Very Large Data Bases J , vol.17 , Issue.4 , pp. 899-921
    • Fu, A.W.-C.1    Keogh, E.2    Lau, L.Y.3    Ratanamahatana, C.A.4    Wong, R.C.-W.5
  • 28
    • 85030100355 scopus 로고    scopus 로고
    • Article: Evaluation of lower bounding methods of dynamic time warping (DTW)
    • May
    • H. Nath and U. Baruah, "Article: Evaluation of lower bounding methods of dynamic time warping (DTW)," Int. J. Comput. Appl., vol. 94, no. 20, pp. 12-17, May 2014
    • (2014) Int. J. Comput. Appl , vol.94 , Issue.20 , pp. 12-17
    • Nath, H.1    Baruah, U.2
  • 29
    • 80052578903 scopus 로고    scopus 로고
    • Early abandon to accelerate exact dynamic time warping
    • L. Junkui and W. Yuanzhen, "Early abandon to accelerate exact dynamic time warping," Int. Arab J. Inf. Technol., vol. 6, no. 2, pp. 144-152, 2009
    • (2009) Int. Arab J. Inf. Technol , vol.6 , Issue.2 , pp. 144-152
    • Junkui, L.1    Yuanzhen, W.2
  • 31
    • 0031166708 scopus 로고    scopus 로고
    • Efficiently supporting ad hoc queries in large datasets of time sequences
    • Tucson, AZ, USA
    • F. Korn, H. V. Jagadish, and C. Faloutsos, "Efficiently supporting ad hoc queries in large datasets of time sequences," in Proc. ACM SIGMOD Int. Conf. Manag. Data, Tucson, AZ, USA, 1997, pp. 289-300. [Online]. Available: http://doi.acm.org/10.1145/253260.253332
    • (1997) Proc. ACM SIGMOD Int. Conf. Manag. Data , pp. 289-300
    • Korn, F.1    Jagadish, H.V.2    Faloutsos, C.3
  • 32
    • 0032688141 scopus 로고    scopus 로고
    • Efficient time series matching by wavelets
    • Sydney, NSW, Australia
    • K.-P. Chan and A. W. C. Fu, "Efficient time series matching by wavelets," in Proc. ICDE, Sydney, NSW, Australia, 1999, pp. 126-133
    • (1999) Proc. ICDE , pp. 126-133
    • Chan, K.-P.1    Fu, A.W.C.2
  • 33
    • 85040241330 scopus 로고    scopus 로고
    • Dimensionality reduction for fast similarity search in large time series databases
    • E. Keogh, K. Chakrabarti, M. Pazzani, and S. Mehrotra, "Dimensionality reduction for fast similarity search in large time series databases," Knowl. Inf. Syst., vol. 3, no. 3, pp. 263-286, 2001
    • (2001) Knowl. Inf. Syst , vol.3 , Issue.3 , pp. 263-286
    • Keogh, E.1    Chakrabarti, K.2    Pazzani, M.3    Mehrotra, S.4
  • 34
    • 85030120505 scopus 로고    scopus 로고
    • Energy efficiency prediction based on PCA-FRBF model: A case study of ethylene industries
    • to be published
    • Z. Geng, J. Chen, and Y. Han, "Energy efficiency prediction based on PCA-FRBF model: A case study of ethylene industries," IEEE Trans. Syst., Man, Cybern., Syst., to be published
    • IEEE Trans. Syst., Man, Cybern., Syst
    • Geng, Z.1    Chen, J.2    Han, Y.3
  • 35
    • 0347649244 scopus 로고    scopus 로고
    • Locally adaptive dimensionality reduction for indexing large time series databases
    • Jun
    • K. Chakrabarti, E. Keogh, S. Mehrotra, and M. Pazzani, "Locally adaptive dimensionality reduction for indexing large time series databases," ACM Trans. Database Syst., vol. 27, no. 2, pp. 188-228, Jun. 2002. [Online]. Available: http://doi.acm.org/10.1145/568518.568520
    • (2002) ACM Trans. Database Syst , vol.27 , Issue.2 , pp. 188-228
    • Chakrabarti, K.1    Keogh, E.2    Mehrotra, S.3    Pazzani, M.4
  • 36
    • 3142777878 scopus 로고    scopus 로고
    • Indexing Spatio-temporal trajectories with Chebyshev polynomials
    • Paris, France
    • Y. Cai and R. Ng, "Indexing Spatio-temporal trajectories with Chebyshev polynomials," in Proc. ACM SIGMOD Int. Conf. Manag. Data, Paris, France, 2004, pp. 599-610. [Online]. Available: http://doi.acm.org/10.1145/1007568.1007636
    • (2004) Proc. ACM SIGMOD Int. Conf. Manag. Data , pp. 599-610
    • Cai, Y.1    Ng, R.2
  • 37
    • 78649672225 scopus 로고    scopus 로고
    • A review on time series data mining
    • Feb
    • T.-C. Fu, "A review on time series data mining," Eng. Appl. Artif. Intell., vol. 24, no. 1, pp. 164-181, Feb. 2011. [Online]. Available: http://dx.doi.org/10.1016/j.engappai.2010.09.007
    • (2011) Eng. Appl. Artif. Intell , vol.24 , Issue.1 , pp. 164-181
    • Fu, T.-C.1
  • 39
    • 0000092269 scopus 로고    scopus 로고
    • Adaptive query processing for timeseries data
    • San Diego, CA, USA
    • Y.-W. Huang and P. S. Yu, "Adaptive query processing for timeseries data," in Proc. 5th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. (KDD), San Diego, CA, USA, 1999, pp. 282-286. [Online]. Available: http://doi.acm.org/10.1145/312129.318357
    • (1999) Proc. 5th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. (KDD) , pp. 282-286
    • Huang, Y.-W.1    Yu, P.S.2
  • 40
    • 12244286336 scopus 로고    scopus 로고
    • Clustering time series from ARMA models with clipped data
    • Seattle, WA, USA
    • A. J. Bagnall and G. J. Janacek, "Clustering time series from ARMA models with clipped data," in Proc. 10th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. (KDD), Seattle, WA, USA, 2004, pp. 49-58. [Online]. Available: http://doi.acm.org/10.1145/1014052.1014061
    • (2004) Proc. 10th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. (KDD) , pp. 49-58
    • Bagnall, A.J.1    Janacek, G.J.2
  • 41
    • 32344436715 scopus 로고    scopus 로고
    • Optimizing time series discretization for knowledge discovery
    • Chicago, IL, USA
    • F. Mörchen and A. Ultsch, "Optimizing time series discretization for knowledge discovery," in Proc. 11th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. (KDD), Chicago, IL, USA, 2005, pp. 660-665. [Online]. Available: http://doi.acm.org/10.1145/1081870.1081953
    • (2005) Proc. 11th ACM SIGKDD Int. Conf. Knowl. Disc. Data Min. (KDD) , pp. 660-665
    • Mörchen, F.1    Ultsch, A.2
  • 42
    • 33745781710 scopus 로고    scopus 로고
    • A symbolic representation of time series, with implications for streaming algorithms
    • San Diego, CA, USA
    • J. Lin, E. Keogh, S. Lonardi, and B. Chiu, "A symbolic representation of time series, with implications for streaming algorithms," in Proc. 8th ACM SIGMOD Workshop Res. Issues Data Min. Knowl. Disc. (DMKD), San Diego, CA, USA, 2003, pp. 2-11. [Online]. Available: http://doi.acm.org/10.1145/882082.882086
    • (2003) Proc. 8th ACM SIGMOD Workshop Res. Issues Data Min. Knowl. Disc. (DMKD) , pp. 2-11
    • Lin, J.1    Keogh, E.2    Lonardi, S.3    Chiu, B.4
  • 43
    • 34548093287 scopus 로고    scopus 로고
    • Experiencing SAX: A novel symbolic representation of time series
    • Oct
    • J. Lin, E. Keogh, L. Wei, and S. Lonardi, "Experiencing SAX: A novel symbolic representation of time series," Data Min. Knowl. Disc., vol. 15, no. 2, pp. 107-144, Oct. 2007. [Online]. Available: http://dx.doi.org/10.1007/s10618-007-0064-z
    • (2007) Data Min. Knowl. Disc , vol.15 , Issue.2 , pp. 107-144
    • Lin, J.1    Keogh, E.2    Wei, L.3    Lonardi, S.4
  • 44
    • 84881013951 scopus 로고    scopus 로고
    • Extended SAX: Extension of symbolic aggregate approximation for financial time series data representation
    • Mar. 1
    • B. Lkhagva, Y. Suzuki, and K. Kawagoe, "Extended SAX: Extension of symbolic aggregate approximation for financial time series data representation," DEWS 4A-i8, vol. 7, Mar. 1, 2006
    • (2006) DEWS 4A-i8 , vol.7
    • Lkhagva, B.1    Suzuki, Y.2    Kawagoe, K.3
  • 46
    • 84868624588 scopus 로고    scopus 로고
    • Rotation-invariant similarity in time series using bag-of-patterns representation
    • J. Lin, R. Khade, and Y. Li, "Rotation-invariant similarity in time series using bag-of-patterns representation," J. Intell. Inf. Syst., vol. 39, no. 2, pp. 287-315, 2012. [Online]. Available: http://dx.doi.org/10.1007/s10844-012-0196-5
    • (2012) J. Intell. Inf. Syst , vol.39 , Issue.2 , pp. 287-315
    • Lin, J.1    Khade, R.2    Li, Y.3
  • 47
    • 84884564759 scopus 로고    scopus 로고
    • A bag-of-features framework to classify time series
    • Nov
    • M. G. Baydogan, G. C. Runger, and E. Tuv, "A bag-of-features framework to classify time series," IEEE Trans. Pattern Anal. Mach. Intell., vol. 35, no. 11, pp. 2796-2802, Nov. 2013. [Online]. Available: http://dblp.uni-trier.de/db/journals/pami/pami35.html#BaydoganRT13
    • (2013) IEEE Trans. Pattern Anal. Mach. Intell , vol.35 , Issue.11 , pp. 2796-2802
    • Baydogan, M.G.1    Runger, G.C.2    Tuv, E.3
  • 48
    • 84942428644 scopus 로고    scopus 로고
    • The boss is concerned with time series classification in the presence of noise
    • P. Schäfer, "The boss is concerned with time series classification in the presence of noise," Data Min. Knowl. Disc., vol. 29, no. 6, pp. 1505-1530, 2015. [Online]. Available: http://dblp.uni-trier.de/ db/journals/datamine/datamine29.html#Schafer15
    • (2015) Data Min. Knowl. Disc , vol.29 , Issue.6 , pp. 1505-1530
    • Schäfer, P.1
  • 49
    • 84946949534 scopus 로고    scopus 로고
    • Scalable time series classification
    • P. Schäfer, "Scalable time series classification," Data Min. Knowl. Disc., vol. 30, no. 5, pp. 1273-1298, 2016
    • (2016) Data Min. Knowl. Disc , vol.30 , Issue.5 , pp. 1273-1298
    • Schäfer, P.1
  • 51
    • 84939221419 scopus 로고    scopus 로고
    • Time-series classification with COTE: The collective of transformation-based ensembles
    • Helsinki, Finland
    • A. Bagnall, J. Lines, J. Hills, and A. Bostrom, "Time-series classification with COTE: The collective of transformation-based ensembles," in Proc. 32nd IEEE Int. Conf. Data Eng. (ICDE), Helsinki, Finland, 2016, pp. 1548-1549. [Online]. Available: http://dx.doi.org/10.1109/ICDE.2016.7498418
    • (2016) Proc. 32nd IEEE Int. Conf. Data Eng. (ICDE) , pp. 1548-1549
    • Bagnall, A.1    Lines, J.2    Hills, J.3    Bostrom, A.4
  • 52
  • 54
    • 84936940476 scopus 로고    scopus 로고
    • Dual-domain hierarchical classification of phonetic time series
    • Shenzhen, China, Dec
    • H. Hamooni and A. Mueen, "Dual-domain hierarchical classification of phonetic time series," in Proc. IEEE Int. Conf. Data Min. (ICDM), Shenzhen, China, Dec. 2014, pp. 160-169. [Online]. Available: http://dx.doi.org/10.1109/ICDM.2014.92
    • (2014) Proc. IEEE Int. Conf. Data Min. (ICDM) , pp. 160-169
    • Hamooni, H.1    Mueen, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.