메뉴 건너뛰기




Volumn 30, Issue 2, 2016, Pages 476-509

Time series representation and similarity based on local autopatterns

Author keywords

Autoregression; Pattern discovery; Regression tree; Similarity; Time series

Indexed keywords

DATA MINING; FOURIER TRANSFORMS; REGRESSION ANALYSIS;

EID: 84957940893     PISSN: 13845810     EISSN: 1573756X     Source Type: Journal    
DOI: 10.1007/s10618-015-0425-y     Document Type: Article
Times cited : (176)

References (55)
  • 1
    • 85143576354 scopus 로고    scopus 로고
    • IEEE International conference on acoustics speech and signal processing (ICASSP)
    • Akl A, Valaee S (2010) Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, compressive sensing. In: 2010 IEEE International conference on acoustics speech and signal processing (ICASSP), pp 2270–2273
    • (2010) pp 2270–2273
    • Akl, A.1
  • 2
    • 84877246663 scopus 로고    scopus 로고
    • Transformation based ensembles for time series classification. In: SDM, vol. 12. SIAM
    • Bagnall A, Davis LM, Hills J, Lines J (2012) Transformation based ensembles for time series classification. In: SDM, vol. 12. SIAM, pp 307–318
    • (2012) pp 307–318
    • Bagnall, A.1    Davis, L.M.2    Hills, J.3    Lines, J.4
  • 3
    • 84894600764 scopus 로고    scopus 로고
    • Cid: an efficient complexity-invariant distance for time series
    • Batista G, Keogh E, Tataw O, de Souza V (2014) Cid: an efficient complexity-invariant distance for time series. Data Min Knowl Discov 28(3):634–669. doi:10.1007/s10618-013-0312-3
    • (2014) Data Min Knowl Discov , vol.28 , Issue.3 , pp. 634-669
    • Batista, G.1    Keogh, E.2    Tataw, O.3    de Souza, V.4
  • 4
    • 84958028126 scopus 로고    scopus 로고
    • Learned pattern similarity (LPS)
    • Baydogan MG (2013) Learned pattern similarity (LPS). homepage: www.mustafabaydogan.com/learned-pattern-similarity-lps.html
    • (2013) homepage:
    • Baydogan, M.G.1
  • 5
    • 84923215420 scopus 로고    scopus 로고
    • Learning a symbolic representation for multivariate time series classification
    • Baydogan MG, Runger G (2014) Learning a symbolic representation for multivariate time series classification. Data Min Knowl Discov pp 1–23. doi:10.1007/s10618-014-0349-y
    • (2014) Data Min Knowl Discov , pp. 1-23
    • Baydogan, M.G.1    Runger, G.2
  • 8
    • 0347649244 scopus 로고    scopus 로고
    • Locally adaptive dimensionality reduction for indexing large time series databases
    • Chakrabarti K, Keogh E, Mehrotra S, Pazzani M (2002) Locally adaptive dimensionality reduction for indexing large time series databases. ACM Trans Database Syst 27(2):188–228
    • (2002) ACM Trans Database Syst , vol.27 , Issue.2 , pp. 188-228
    • Chakrabarti, K.1    Keogh, E.2    Mehrotra, S.3    Pazzani, M.4
  • 11
    • 38249000982 scopus 로고
    • Interaction, nonlinearity, and multicollinearity: implications for multiple regression
    • Cortina JM (1993) Interaction, nonlinearity, and multicollinearity: implications for multiple regression. J Manag 19(4):915–922
    • (1993) J Manag , vol.19 , Issue.4 , pp. 915-922
    • Cortina, J.M.1
  • 13
    • 84958028127 scopus 로고    scopus 로고
    • CMU (2012) Graphics Lab Motion Capture Database: Homepage
    • CMU (2012) Graphics Lab Motion Capture Database: Homepage: mocap.cs.cmu.edu
  • 14
    • 29644438050 scopus 로고    scopus 로고
    • Statistical comparisons of classifiers over multiple data sets
    • Demšar J (2006) Statistical comparisons of classifiers over multiple data sets. J Mach Learn Res 7:1–30
    • (2006) J Mach Learn Res , vol.7 , pp. 1-30
    • Demšar, J.1
  • 15
    • 84867136666 scopus 로고    scopus 로고
    • Querying and mining of time series data: experimental comparison of representations and distance measures
    • Ding H, Trajcevski G, Scheuermann P, Wang X, Keogh E (2008) Querying and mining of time series data: experimental comparison of representations and distance measures. Proc VLDB Endow 1:1542–1552
    • (2008) Proc VLDB Endow , vol.1 , pp. 1542-1552
    • Ding, H.1    Trajcevski, G.2    Scheuermann, P.3    Wang, X.4    Keogh, E.5
  • 16
    • 84958028128 scopus 로고    scopus 로고
    • Frank A, Asuncion A (2010) UCI machine learning repository
    • Frank A, Asuncion A (2010) UCI machine learning repository. http://archive.ics.uci.edu/ml
  • 17
    • 0001837148 scopus 로고
    • A comparison of alternative tests of significance for the problem of m rankings
    • Friedman M (1940) A comparison of alternative tests of significance for the problem of m rankings. Ann Math Stat 11(1):86–92. http://www.jstor.org/stable/2235971
    • (1940) Ann Math Stat , vol.11 , Issue.1 , pp. 86-92
    • Friedman, M.1
  • 18
    • 78649672225 scopus 로고    scopus 로고
    • A review on time series data mining
    • Fu T (2011) A review on time series data mining. Eng Appl Artif Intell 24:164–181
    • (2011) Eng Appl Artif Intell , vol.24 , pp. 164-181
    • Fu, T.1
  • 19
  • 20
    • 84875058969 scopus 로고    scopus 로고
    • Geurts P (2001) Pattern extraction for time series classification. Principles of data mining and knowledge discovery. Lecture Notes in Computer Science, vol 2168. Springer, Berlin, pp 115–127
    • Springer, Berlin , pp. 115-127
  • 21
    • 33646430006 scopus 로고    scopus 로고
    • Extremely randomized trees
    • Geurts P, Ernst D, Wehenkel L (2006) Extremely randomized trees. Mach Learn 63(1):3–42
    • (2006) Mach Learn , vol.63 , Issue.1 , pp. 3-42
    • Geurts, P.1    Ernst, D.2    Wehenkel, L.3
  • 22
    • 84937519690 scopus 로고    scopus 로고
    • Invariant time-series factorization
    • Grabocka J, Schmidt-Thieme L (2014) Invariant time-series factorization. Data Min Knowl Discov 28(5—-6):1455–1479
    • (2014) Data Min Knowl Discov , vol.28 , Issue.5-6 , pp. 1455-1479
    • Grabocka, J.1    Schmidt-Thieme, L.2
  • 23
    • 85013808225 scopus 로고    scopus 로고
    • Han J, Kamber M, (2001) Data mining: concepts and techniques. The Morgan Kaufmann Series In Data Management Systems. Elsevier Books, Oxford
    • Han J, Kamber M, (2001) Data mining: concepts and techniques. The Morgan Kaufmann Series In Data Management Systems. Elsevier Books, Oxford. http://books.google.com/books?id=6hkR_ixby08C
  • 25
    • 84896489839 scopus 로고    scopus 로고
    • Classification of time series by shapelet transformation
    • Hills J, Lines J, Baranauskas E, Mapp J, Bagnall A (2014) Classification of time series by shapelet transformation. Data Min Knowl Discov 28(4):851–881. doi:10.1007/s10618-013-0322-1
    • (2014) Data Min Knowl Discov , vol.28 , Issue.4 , pp. 851-881
    • Hills, J.1    Lines, J.2    Baranauskas, E.3    Mapp, J.4    Bagnall, A.5
  • 26
    • 0033289037 scopus 로고    scopus 로고
    • Using the fisher kernel method to detect remote protein homologies
    • Jaakkola T, Diekhans M, Haussler D (1999) Using the fisher kernel method to detect remote protein homologies. In: ISMB vol. 99, pp 149–158
    • (1999) ISMB , vol.99 , pp. 149-158
    • Jaakkola, T.1    Diekhans, M.2    Haussler, D.3
  • 27
    • 18544365764 scopus 로고    scopus 로고
    • Probability product kernels
    • Jebara T, Kondor R, Howard A (2004) Probability product kernels. J Mach Learn Res 5:819–844. http://dl.acm.org/citation.cfm?id=1005332.1016786
    • (2004) J Mach Learn Res , vol.5 , pp. 819-844
    • Jebara, T.1    Kondor, R.2    Howard, A.3
  • 28
    • 79957533818 scopus 로고    scopus 로고
    • Jeong YS, Jeong MK, Omitaomu OA, (2011) Weighted dynamic time warping for time series classification. Pattern Recognit 44(9): 2231–2240. Computer Analysis of Images and Patterns
    • Jeong YS, Jeong MK, Omitaomu OA, (2011) Weighted dynamic time warping for time series classification. Pattern Recognit 44(9): 2231–2240. doi:10.1016/j.patcog.2010.09.022. http://www.sciencedirect.com/science/article/pii/S003132031000484X. Computer Analysis of Images and Patterns
  • 29
    • 0042711018 scopus 로고    scopus 로고
    • On the need for time series data mining benchmarks: a survey and empirical demonstration
    • Keogh E, Kasetty S (2003) On the need for time series data mining benchmarks: a survey and empirical demonstration. Data Min Knowl Discov 7(4):349–371
    • (2003) Data Min Knowl Discov , vol.7 , Issue.4 , pp. 349-371
    • Keogh, E.1    Kasetty, S.2
  • 31
    • 85003961474 scopus 로고    scopus 로고
    • LB_Keogh supports exact indexing of shapes under rotation invariance with arbitrary representations and distance measures. In: Proceedings of the 32nd international conference on very large data bases, VLDB ’06. VLDB Endowment
    • Keogh E, Wei L, Xi X, Lee SH, Vlachos M (2006) LB_Keogh supports exact indexing of shapes under rotation invariance with arbitrary representations and distance measures. In: Proceedings of the 32nd international conference on very large data bases, VLDB ’06. VLDB Endowment, pp 882–893
    • (2006) pp 882–893
    • Keogh, E.1    Wei, L.2    Xi, X.3    Lee, S.H.4    Vlachos, M.5
  • 33
    • 35248838963 scopus 로고    scopus 로고
    • Derivative dynamic time warping. In: SDM, vol. 1. SIAM
    • Keogh EJ, Pazzani MJ (2001) Derivative dynamic time warping. In: SDM, vol. 1. SIAM, pp 5–7
    • (2001) pp 5–7
    • Keogh, E.J.1    Pazzani, M.J.2
  • 34
    • 78149481812 scopus 로고    scopus 로고
    • Spatial representation for efficient sequence classification. In: 2010 20th International conference on pattern recognition (ICPR)
    • Kuksa P, Pavlovic V (2010) Spatial representation for efficient sequence classification. In: 2010 20th International conference on pattern recognition (ICPR), pp 3320–3323
    • (2010) pp 3320–3323
    • Kuksa, P.1    Pavlovic, V.2
  • 36
    • 24044470614 scopus 로고    scopus 로고
    • Clustering of time series data-a survey
    • Liao TW (2005) Clustering of time series data-a survey. Pattern Recogn 38(11):1857–1874. doi:10.1016/j.patcog.2005.01.025
    • (2005) Pattern Recogn , vol.38 , Issue.11 , pp. 1857-1874
    • Liao, T.W.1
  • 38
    • 34548093287 scopus 로고    scopus 로고
    • Experiencing SAX: a novel symbolic representation of time series
    • Lin J, Keogh E, Wei L, Lonardi S (2007) Experiencing SAX: a novel symbolic representation of time series. Data Min Knowl Discov 15:107–144
    • (2007) Data Min Knowl Discov , vol.15 , pp. 107-144
    • Lin, J.1    Keogh, E.2    Wei, L.3    Lonardi, S.4
  • 39
    • 84868624588 scopus 로고    scopus 로고
    • Rotation-invariant similarity in time series using bag-of-patterns representation
    • Lin J, Khade R, Li Y (2012) Rotation-invariant similarity in time series using bag-of-patterns representation. J Intell Inf Syst 39(2):287–315
    • (2012) J Intell Inf Syst , vol.39 , Issue.2 , pp. 287-315
    • Lin, J.1    Khade, R.2    Li, Y.3
  • 40
    • 84939218581 scopus 로고    scopus 로고
    • Time series classification with ensembles of elastic distance measures
    • Lines J, Bagnall A (2014) Time series classification with ensembles of elastic distance measures. Data Min Knowl Discov 29(3):565–592. doi:10.1007/s10618-014-0361-2
    • (2014) Data Min Knowl Discov , vol.29 , Issue.3 , pp. 565-592
    • Lines, J.1    Bagnall, A.2
  • 41
    • 70349303537 scopus 로고    scopus 로고
    • Liu J, Wang Z, Zhong L, Wickramasuriya J, Vasudevan V (2009) uWave: Accelerometer-based personalized gesture recognition and its applications. IEEE International conference on pervasive computing and communications, pp 1–9
    • Liu J, Wang Z, Zhong L, Wickramasuriya J, Vasudevan V (2009) uWave: Accelerometer-based personalized gesture recognition and its applications. IEEE International conference on pervasive computing and communications, pp 1–9
  • 42
    • 0001920729 scopus 로고
    • Similarity metric learning for a variable-kernel classifier
    • Lowe DG (1995) Similarity metric learning for a variable-kernel classifier. Neural Comput 7(1):72–85
    • (1995) Neural Comput , vol.7 , Issue.1 , pp. 72-85
    • Lowe, D.G.1
  • 43
    • 62249218289 scopus 로고    scopus 로고
    • Time warp edit distance with stiffness adjustment for time series matching
    • Marteau PF (2009) Time warp edit distance with stiffness adjustment for time series matching. IEEE Trans Pattern Anal Mach Intell 31(2):306–318. doi:10.1109/TPAMI.2008.76
    • (2009) IEEE Trans Pattern Anal Mach Intell , vol.31 , Issue.2 , pp. 306-318
    • Marteau, P.F.1
  • 45
    • 84958028138 scopus 로고    scopus 로고
    • Olszewski RT (2012). Accessed June 10
    • Olszewski RT (2012)http://www.cs.cmu.edu/~bobski/. Accessed June 10
  • 46
    • 84976901305 scopus 로고    scopus 로고
    • R: A language and environment for statistical computing. R Foundation for Statistical Computing
    • R Core Team (2014) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna.http://www.R-project.org/
    • (2014) Vienna.http://www.R-project.org/
    • Core Team, R.1
  • 52
    • 84897584209 scopus 로고    scopus 로고
    • The move-split-merge metric for time series
    • Stefan A, Athitsos V, Das G (2013) The move-split-merge metric for time series. IEEE Trans Knowl Data Eng 25(6):1425–1438. doi:10.1109/TKDE.2012.88
    • (2013) IEEE Trans Knowl Data Eng , vol.25 , Issue.6 , pp. 1425-1438
    • Stefan, A.1    Athitsos, V.2    Das, G.3
  • 53
    • 84899426344 scopus 로고    scopus 로고
    • Sübakan YC, Kurt B, Cemgil AT, Sankur B (2014) Probabilistic sequence clustering with spectral learning. Dig Signal Process 29(0):1–19
    • Sübakan YC, Kurt B, Cemgil AT, Sankur B (2014) Probabilistic sequence clustering with spectral learning. Dig Signal Process 29(0):1–19. doi:10.1016/j.dsp.2014.02.014. http://www.sciencedirect.com/science/article/pii/S1051200414000517
  • 54
    • 70349811563 scopus 로고    scopus 로고
    • Time series analysis with multiple resolutions
    • Wang Q, Megalooikonomou V, Faloutsos C (2010) Time series analysis with multiple resolutions. Inf Syst 35(1):56–74
    • (2010) Inf Syst , vol.35 , Issue.1 , pp. 56-74
    • Wang, Q.1    Megalooikonomou, V.2    Faloutsos, C.3
  • 55
    • 84872397385 scopus 로고    scopus 로고
    • Experimental comparison of representation methods and distance measures for time series data
    • Wang X, Mueen A, Ding H, Trajcevski G, Scheuermann P, Keogh E (2013) Experimental comparison of representation methods and distance measures for time series data. Data Min Knowl Discov 26(2):275–309
    • (2013) Data Min Knowl Discov , vol.26 , Issue.2 , pp. 275-309
    • Wang, X.1    Mueen, A.2    Ding, H.3    Trajcevski, G.4    Scheuermann, P.5    Keogh, E.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.