메뉴 건너뛰기




Volumn 43, Issue 2, 2011, Pages

Discrete wavelet transform-based time series analysis and mining

Author keywords

Anomaly detection; Classification; Clustering; Data compression; Data transformation; Dimensionality reduction; Noise filtering; Prediction; Similarity search

Indexed keywords

ANOMALY DETECTION; CLASSIFICATION; CLUSTERING; DATA TRANSFORMATION; DIMENSIONALITY REDUCTION; NOISE FILTERING; PREDICTION; SIMILARITY SEARCH;

EID: 79551703905     PISSN: 03600300     EISSN: 15577341     Source Type: Journal    
DOI: 10.1145/1883612.1883613     Document Type: Article
Times cited : (181)

References (132)
  • 3
    • 0031209934 scopus 로고    scopus 로고
    • Clearing the Way for Physicians' Use of Clinical Information Systems
    • ANDERSON, J. G. 1997. Clearing the way for physician's (Pubitemid 127440143)
    • (1997) Communications of the ACM , vol.40 , Issue.8 , pp. 83-90
    • Anderson, J.G.1
  • 9
    • 16344369007 scopus 로고    scopus 로고
    • Clustering of gene expression data using a local shape-based similarity measure
    • DOI 10.1093/bioinformatics/bti095
    • BALASUBRAMANIYAN, R., HÜLLERMEIER, E., WESKAMP, N., AND KÄMPER, J. 2005. Clustering of gene expression data using a local shape-based similarity measure. Bioinformatics 21, 7, 1069-1077. (Pubitemid 40467930)
    • (2005) Bioinformatics , vol.21 , Issue.7 , pp. 1069-1077
    • Balasubramaniyan, R.1    Hullermeier, E.2    Weskamp, N.3    Kamper, J.4
  • 10
    • 0017317792 scopus 로고
    • Rapid prediction of need for hospitalization in acute asthma
    • BANNER, A. S., SHAH, R. S., AND ADDINGTON, W. W. 1976. Rapid prediction of need for hospitalization in acute asthma. J. Amer. Medical Ass. 235, 13, 1337-1338.
    • (1976) J. Amer. Medical Ass. , vol.235 , Issue.13 , pp. 1337-1338
    • Banner, A.S.1    Shah, R.S.2    Addington, W.W.3
  • 16
    • 33746458432 scopus 로고    scopus 로고
    • Classification and detection of abnormal events in time series of graphs
    • World Scientific Publishing, Singapore
    • BUNKE, H. AND KRAETZL, M. 2004. Classification and detection of abnormal events in time series of graphs. In Data Mining in Time Series Database. World Scientific Publishing, Singapore, 127-148.
    • (2004) Data Mining in Time Series Database , pp. 127-148
    • Bunke, H.1    Kraetzl, M.2
  • 20
    • 0347649244 scopus 로고    scopus 로고
    • Locally Adaptive Dimensionality Reduction for Indexing Large Time Series Databases
    • DOI 10.1145/568518.568520
    • CHAKRABARTI, K., KEOGH, E., MEHROTRA, S., AND PAZZANI, M. 2002. Locally adaptive dimensionality reduction for indexing large time series databases. ACM Trans. Datab. Sys. 27, 2, 188-228. (Pubitemid 135702565)
    • (2002) ACM Transactions on Database Systems , vol.27 , Issue.2 , pp. 188-228
    • Chakrabarti, K.1    Keogh, E.2    Mehrotra, S.3    Pazzani, M.4
  • 22
    • 0027677864 scopus 로고
    • Texture analysis and classification with tree structured wavelet transform
    • CHANG, T. AND KUO, C.-C. J. 1993. Texture analysis and classification with tree structured wavelet transform. IEEE Trans. Image Process. 2, 4, 429-441.
    • (1993) IEEE Trans. Image Process. , vol.2 , Issue.4 , pp. 429-441
    • Chang, T.1    Kuo, C.-C.J.2
  • 26
    • 0033168863 scopus 로고    scopus 로고
    • Application of wavelets and neural networks to diagnostic system development, 1, feature extraction
    • DOI 10.1016/S0098-1354(99)00258-6, PII S0098135499002586
    • CHEN, B. H., WANG, X. Z., YANG, S. H., AND MCGREAVY, C. 1999a. Application of wavelets and neural networks to diagnostic system development, 1: Feature extraction. Comput. Chem. Eng. 23, 899-906. (Pubitemid 29292592)
    • (1999) Computers and Chemical Engineering , vol.23 , Issue.7 , pp. 899-906
    • Chen, B.H.1    Wang, X.Z.2    Yang, S.H.3    McGreavy, C.4
  • 27
    • 0033168838 scopus 로고    scopus 로고
    • Application of wavelets and neural networks to diagnostic system development, 2, an integrated framework and its application
    • DOI 10.1016/S0098-1354(99)00260-4, PII S0098135499002604
    • CHEN, B. H., WANG, X. Z., YANG, S. H., AND MCGREAVY, C. 1999b. Application of wavelets and neural networks to diagnostic system development, 2: An integrated framework and its application. Comput. Chem. Eng. 23, 945-954. (Pubitemid 29292596)
    • (1999) Computers and Chemical Engineering , vol.23 , Issue.7 , pp. 945-954
    • Wang, X.Z.1    Chen, B.H.2    Yang, S.H.3    McGreavy, C.4
  • 29
    • 21744450636 scopus 로고    scopus 로고
    • Symbolic time series analysis for anomaly detection: A comparative evaluation
    • DOI 10.1016/j.sigpro.2005.03.014, PII S0165168405001039
    • CHIN, S. C., RAY, A., AND RAJAGOPALAN, V. 2005. Symbolic time series analysis for anomaly detection: A comparative evaluation. Signal Process. 85, 1859-1868. (Pubitemid 40940846)
    • (2005) Signal Processing , vol.85 , Issue.9 , pp. 1859-1868
    • Chin, S.C.1    Ray, A.2    Rajagopalan, V.3
  • 30
    • 0026686048 scopus 로고
    • Entropy-based algorithms for best basis selection
    • COIFMAN, R. R. AND WICKERHAUSER,M. V. 1992. Entropy-based algorithms for best basis selection. IEEE Trans. Inform. Theor. 38, 2, 713-718.
    • (1992) IEEE Trans. Inform. Theor. , vol.38 , Issue.2 , pp. 713-718
    • Coifman, R.R.1    Wickerhauser, M.V.2
  • 31
    • 79551709098 scopus 로고    scopus 로고
    • D Master's thesis. Department of Numerical Analysis and Computer Science, Royal Institute of Technology, Stockholm, Sweden
    • COLLIN, N. 2004. Time-series prediction of a waste water treatment plan. D Master's thesis. Department of Numerical Analysis and Computer Science, Royal Institute of Technology, Stockholm, Sweden.
    • (2004) Time-series Prediction of A Waste Water Treatment Plan
    • Collin, N.1
  • 40
    • 33749319347 scopus 로고    scopus 로고
    • Interestingness measures for data mining: A survey
    • GENG, L. AND HAMILTON, H. J. 2006. Interestingness measures for data mining: A survey. ACM Comput. Surv. 38, 3, 1-32.
    • (2006) ACM Comput. Surv. , vol.38 , Issue.3 , pp. 1-32
    • Geng, L.1    Hamilton, H.J.2
  • 52
    • 85040241330 scopus 로고    scopus 로고
    • Dimensionality reduction for fast similarity search in large time series databases
    • KEOGH, E. J., CHAKRABARTI, K., PAZZANI,M., AND MEHROTRA, S. 2001. Dimensionality reduction for fast similarity search in large time series databases. Knowl. Inform. Syst. 3, 3, 263-286.
    • (2001) Knowl. Inform. Syst. , vol.3 , Issue.3 , pp. 263-286
    • Keogh, E.J.1    Chakrabarti, K.2    Pazzani, M.3    Mehrotra, S.4
  • 53
    • 26944478356 scopus 로고    scopus 로고
    • Segmenting time series: A survey and novel approach
    • World Scientific Publishing, Singapore
    • KEOGH, E. J., CHU, S., HART, D., AND PAZZANI, M. 2004a. Segmenting time series: A survey and novel approach. In Data Mining in Time Series Database. World Scientific Publishing, Singapore, 1-21.
    • (2004) Data Mining in Time Series Database , pp. 1-21
    • Keogh, E.J.1    Chu, S.2    Hart, D.3    Pazzani, M.4
  • 60
    • 0027702444 scopus 로고
    • Texture classification by wavelet packet signatures
    • LAINE, A. AND FAN, J. 1993. Texture classification by wavelet packet signatures. IEEE Trans. Patt. Anal.Mach. Intell. 15, 11, 1186-1191.
    • (1993) IEEE Trans. Patt. Anal.Mach. Intell. , vol.15 , Issue.11 , pp. 1186-1191
    • Laine, A.1    Fan, J.2
  • 63
    • 77949731575 scopus 로고    scopus 로고
    • Temporal sequence learning and data reduction for anomaly detection
    • LANE, T. AND BRODLEY, C. E. 1999. Temporal sequence learning and data reduction for anomaly detection. ACM Trans. Inform. Syst. Secu. 2, 3, 295-331.
    • (1999) ACM Trans. Inform. Syst. Secu. , vol.2 , Issue.3 , pp. 295-331
    • Lane, T.1    Brodley, C.E.2
  • 67
    • 0034515703 scopus 로고    scopus 로고
    • Content-based indexing and retrieval of audio data using wavelets
    • LI, G. AND KHOKHAR, A. A. 2000. Content-based indexing and retrieval of audio data using wavelets. In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME). 885-888. (Pubitemid 33059083)
    • (2000) IEEE International Conference on Multi-Media and Expo , pp. 885-888
    • Li, G.1    Khokhar, A.A.2
  • 69
    • 1542417183 scopus 로고    scopus 로고
    • A survey on wavelet applications in data mining
    • LI, T., LI, Q., ZHU, S., AND OGIHARA, M. 2003. A survey on wavelet applications in data mining. ACM SIGKDD Explor. Newsl. 4, 2, 49-68.
    • (2003) ACM SIGKDD Explor. Newsl. , vol.4 , Issue.2 , pp. 49-68
    • Li, T.1    Li, Q.2    Zhu, S.3    Ogihara, M.4
  • 70
  • 72
    • 85001755118 scopus 로고    scopus 로고
    • Improving similarity search in time series using wavelets
    • LIABOTIS, I., THEODOULIDIS, B., AND SARAEE, M. 2006. Improving similarity search in time series using wavelets. Int. J. Data Warehou. Min. 2, 2, 55-81.
    • (2006) Int. J. Data Warehou. Min. , vol.2 , Issue.2 , pp. 55-81
    • Liabotis, I.1    Theodoulidis, B.2    Saraee, M.3
  • 74
    • 8644261466 scopus 로고    scopus 로고
    • Wavelet based denoising integrated into multilayered perceptron
    • DOI 10.1016/j.neucom.2004.02.003, PII S0925231204001985
    • LOTRIC, U. 2004. Wavelet based denoising integrated into multilayered perceptron. Neurocomput. 62, 179-196. (Pubitemid 39504663)
    • (2004) Neurocomputing , vol.62 , Issue.1-4 , pp. 179-196
    • Lotric, U.1
  • 79
    • 0035481772 scopus 로고    scopus 로고
    • Modeling heterogeneous network traffic in wavelet domain
    • DOI 10.1109/90.958331, PII S1063669201090008
    • MA, S. AND JI, C. 2001. Modeling heterogeneous network traffic in wavelet domain. IEEE Trans. Netw. 9, 5, 634-649. (Pubitemid 33048413)
    • (2001) IEEE/ACM Transactions on Networking , vol.9 , Issue.5 , pp. 634-649
    • Sheng, Ma.1    Ji, C.2
  • 80
    • 11244259034 scopus 로고    scopus 로고
    • A wavelet-based framework for proactive detection of network misconfigurations
    • Proceedings of the ACM SIGCOMM 2004 Workshops
    • MAGNAGHI, A., HAMADA, T., AND KATSUYAMA, T. 2004. A wavelet-based framework for proactive detection of network misconfigurations. In Proceedings of the ACM SIGCOMM Workshop on Network Troubleshooting. 253-258. (Pubitemid 40062777)
    • (2004) Proceedings of the ACM SIGCOMM 2004 Workshops , pp. 253-258
    • Magnaghi, A.1    Hamada, T.2    Katsuyama, T.3
  • 81
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • MALLAT, S. G. 1989. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. Patt. Analy. Mach. Intell. 11, 7, 674-693.
    • (1989) IEEE Trans. Patt. Analy. Mach. Intell. , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.G.1
  • 82
    • 0026686049 scopus 로고
    • Singularity detection and processing with wavelets
    • MALLAT, S. G. AND HWANG, W. L. 1992. Singularity detection and processing with wavelets. IEEE Trans. Inform. Theor. 38, 2, 617-643.
    • (1992) IEEE Trans. Inform. Theor. , vol.38 , Issue.2 , pp. 617-643
    • Mallat, S.G.1    Hwang, W.L.2
  • 87
    • 0031238508 scopus 로고    scopus 로고
    • Wavelet image extension for analysis and classification of infarcted myocardial tissue
    • DOI 10.1109/10.623055, PII S0018929497061132
    • MOJSILOVIC, A., POPOVIC, M., NESKOVIC, A. N., AND POPOVIC, A. D. 1997. Wavelet image extension for analysis and classification of infarcted myocardial tissue. IEEE Trans. Biomed. Eng. 44, 9, 856-866. (Pubitemid 27357680)
    • (1997) IEEE Transactions on Biomedical Engineering , vol.44 , Issue.9 , pp. 856-866
    • Mojsilovic, A.1    Popovic, M.V.2    Neskovic, A.N.3    Popovic, A.D.4
  • 91
    • 0031343370 scopus 로고    scopus 로고
    • On preconditioning the data for the wavelet transform when the sample size is not a power of two
    • OGDEN, T. 1997. On preconditioning the data for the wavelet transform when the sample size is not a power of two. Commun. Statis. Part B-Sim. Comp. 26, 467-486.
    • (1997) Commun. Statis. Part B-Sim. Comp. , vol.26 , pp. 467-486
    • Ogden, T.1
  • 100
    • 0002140903 scopus 로고    scopus 로고
    • A bibliography of temporal, spatial and spatio-temporal datamining research
    • RODDICK, J. F. AND SPILIOPOULOU, M. 1999. A bibliography of temporal, spatial and spatio-temporal datamining research. SIGKDD Explor. 1, 1, 34-38.
    • (1999) SIGKDD Explor. , vol.1 , Issue.1 , pp. 34-38
    • Roddick, J.F.1    Spiliopoulou, M.2
  • 101
    • 0035714341 scopus 로고    scopus 로고
    • Efficient hemodynamic event detection utilizing relational databases and wavelet analysis
    • SAEED, M. AND MARK, R. G. 2001. Efficient hemodynamic event detection utilizing relational databases and wavelet analysis. In Proceedings of the Conference on Computers in Cardiology. 153-156. (Pubitemid 34167091)
    • (2001) Computers in Cardiology , pp. 153-156
    • Saeed, M.1    Mark, R.G.2
  • 108
    • 0034133653 scopus 로고    scopus 로고
    • WaveCluster: A wavelet-based clustering approach for spatial data in very large databases
    • SHEIKHOLESLAMI, G., CHATTERJEE, S., AND ZHANG, A. 2000. WaveCluster: a wavelet-based clustering approach for spatial data in very large databases. VLDB J. 8, 3-4, 289-304.
    • (2000) VLDB J. , vol.8 , Issue.3-4 , pp. 289-304
    • Sheikholeslami, G.1    Chatterjee, S.2    Zhang, A.3
  • 111
    • 0021324170 scopus 로고
    • Early prediction of the need for hospitalization in children with acute asthma
    • SILVER, R. B. AND GINSBURG, C. M. 1984. Early prediction of the need for hospitalization in children with acute asthma. Clin. Ped. 23, 2, 81-84. (Pubitemid 14194548)
    • (1984) Clinical Pediatrics , vol.23 , Issue.2 , pp. 81-84
    • Silver, R.B.1    Ginsburg, C.M.2
  • 112
    • 0034301780 scopus 로고    scopus 로고
    • The long-term memory prediction by multiscale decomposition
    • SOLTANI, S., BOICHU, D., SIMARD, P., AND CANU, S. 2000. The long-term memory prediction by multiscale decomposition. Signal Process. 80, 10, 2195-2205.
    • (2000) Signal Process. , vol.80 , Issue.10 , pp. 2195-2205
    • Soltani, S.1    Boichu, D.2    Simard, P.3    Canu, S.4
  • 116
    • 22144480299 scopus 로고    scopus 로고
    • Epileptic seizure detection using dynamic wavelet network
    • DOI 10.1016/j.eswa.2005.04.007, PII S0957417405000606
    • SUBASI, A. 2005. Epileptic seizure detection using dynamic wavelet network. Exp. Syst. Appl. 29, 343-355. (Pubitemid 40982998)
    • (2005) Expert Systems with Applications , vol.29 , Issue.2 , pp. 343-355
    • Subasi, A.1
  • 118
    • 0036648502 scopus 로고    scopus 로고
    • Musical genre classification of audio signals
    • DOI 10.1109/TSA.2002.800560, PII 1011092002800560
    • TZANETAKIS, G. AND COOK, P. 2002. Musical genre classification of audio signals. IEEE Trans. Speech Audio Process. 10, 5, 293-302. (Pubitemid 34950067)
    • (2002) IEEE Transactions on Speech and Audio Processing , vol.10 , Issue.5 , pp. 293-302
    • Tzanetakis, G.1    Cook, P.2
  • 120
    • 84949190999 scopus 로고    scopus 로고
    • System for Screening Objectionable Images Using Daubechies' Wavelets and Color Histograms
    • Interactive Distributed Multimedia Systems and Telecommunication Services
    • WANG, J. Z., WIEDERHOLD, G., AND FIRSCHEIN, O. 1997a. System for screening objectionable images using Daubechies' wavelets and color histograms. In Proceedings of the 6th International Workshop on Interactive Distributed Multimedia Systems and Telecommunication Services (IDMS). M. Diaz, P. Owezarski and P. Sénac, Eds. 20-30. (Pubitemid 127124504)
    • (1997) LECTURE NOTES IN COMPUTER SCIENCE , Issue.1309 , pp. 20-30
    • Wang, J.Z.1    Wiederhold, G.2    Firschein, O.3
  • 121
    • 84867521696 scopus 로고    scopus 로고
    • Content-based image indexing and searching using Daubechies'wavelets
    • DOI 10.1007/s007990050026, The IEEE International Forum on Research and Technology Advances in Digital Libraries, ADL '97
    • WANG, J. Z., WIEDERHOLD, G., FIRSCHEIN, O., AND WEI, S. X. 1997b. Content-based image indexing and searching using Daubechies' wavelets. Int. J. Dig. Lib. 1, 4, 311-328. (Pubitemid 128040576)
    • (1997) International journal on digital libraries , vol.1 , Issue.4 , pp. 311-328
    • Wang, J.Z.1    Wiederhold, G.2    Firschein, O.3    Wei, S.X.4
  • 123
    • 0000999642 scopus 로고
    • Jump and sharp cusp detection by wavelets
    • WANG, Y. 1995. Jump and sharp cusp detection by wavelets. Biometrika 82, 2, 385-397.
    • (1995) Biometrika , vol.82 , Issue.2 , pp. 385-397
    • Wang, Y.1
  • 124
    • 33750945136 scopus 로고    scopus 로고
    • A differential wavelet-based noise reduction approach to improve the clustering of hyperspectral raman imaging data
    • 162586, 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings
    • WANG, Y.-P., WANG, Y., AND SPENCER, P. 2006. A differential wavelet-based noise reduction approach to improve clustering of hyperspectral Raman imaging data. In Proceedings of the 3rd IEEE International Symposium on Biomedical Imaging: Nano to Macro. 988-991. (Pubitemid 44732486)
    • (2006) 2006 3rd IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings , vol.2006 , pp. 988-991
    • Wang, Y.-P.1    Wang, Y.2    Spencer, P.3
  • 130
    • 0033212672 scopus 로고    scopus 로고
    • Tool wear detection with fuzzy classification and wavelet fuzzy neural network
    • YAO, Y., LI, X., AND YUAN, Z. 1999. Tool wear detection with fuzzy classification and wavelet fuzzy neural network. Int. J. Mach. Tools Manufact. 39, 1525-1538.
    • (1999) Int. J. Mach. Tools Manufact. , vol.39 , pp. 1525-1538
    • Yao, Y.1    Li, X.2    Yuan, Z.3
  • 131
    • 33645471785 scopus 로고    scopus 로고
    • Feature subset selection and feature ranking for multivariate time series
    • DOI 10.1109/TKDE.2005.144
    • YOON, H., YANG, K., AND SHAHABI, C. 2005. Feature subset selection and feature ranking for multivariate time series. IEEE Trans. Know. Data Eng. 17, 9, 1186-1198. (Pubitemid 46488936)
    • (2005) IEEE Transactions on Knowledge and Data Engineering , vol.17 , Issue.9 , pp. 1186-1198
    • Yoon, H.1    Yang, K.2    Shahabi, C.3
  • 132
    • 26944463254 scopus 로고    scopus 로고
    • Change detection in classification models induced from time series data
    • World Scientific Publishing, Singapore
    • ZEIRA, G., MAIMON, O., LAST, M., AND ROKACH, L. 2004. Change detection in classification models induced from time series data. In Data Mining in Time Series Databases. World Scientific Publishing, Singapore, 101-125.
    • (2004) Data Mining in Time Series Databases , pp. 101-125
    • Zeira, G.1    Maimon, O.2    Last, M.3    Rokach, L.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.