1. Trang chủ
  2. » Luận Văn - Báo Cáo

Phát hiện mô típ với chiều dài khác nhau trên dữ liệu chuỗi thời gian

82 8 0

Đang tải... (xem toàn văn)

Tài liệu hạn chế xem trước, để xem đầy đủ mời bạn chọn Tải xuống

THÔNG TIN TÀI LIỆU

Thông tin cơ bản

Định dạng
Số trang 82
Dung lượng 1,86 MB

Nội dung

Ngày đăng: 27/01/2021, 13:50

Nguồn tham khảo

Tài liệu tham khảo Loại Chi tiết
[1] Jessica Lin, Eamonn Keogh, Stefano Lonardi, Bill Chiu, “A Symbolic Representation of Time Series, with Implications for Streaming Algorithms”, in Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, San Diego, CA. June 13 Sách, tạp chí
Tiêu đề: A Symbolic Representation of Time Series, with Implications for Streaming Algorithms”, in "Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery
[2] Jeremy Buhler, Martin Tompa, “Finding motifs using random projections”, in Proceedings of the fifth annual international conference on Computational biology, April 2001 Sách, tạp chí
Tiêu đề: Finding motifs using random projections
Tác giả: Jeremy Buhler, Martin Tompa
Nhà XB: Proceedings of the fifth annual international conference on Computational biology
Năm: 2001
[3] Eamonn J. Keogh, Michael J. Pazzani, “Dimensionality reduction for fast similarity search in large time series databases”, Journal of Knowledge and Information Systems, Vol. 3, No. 3, 2000, pp. 263-286 Sách, tạp chí
Tiêu đề: Dimensionality reduction for fast similarity search in large time series databases
Tác giả: Eamonn J. Keogh, Michael J. Pazzani
Nhà XB: Journal of Knowledge and Information Systems
Năm: 2000
[4] Bill Chiu, Eamonn Keogh, Stefano Lonardi, “Probabilistic discovery of time series motifs”, in Proceedings of the 9th International Conference on Knowledge Discovery and Data mining, Washington, D.C., 2003 Sách, tạp chí
Tiêu đề: Probabilistic discovery of time series motifs
Tác giả: Bill Chiu, Eamonn Keogh, Stefano Lonardi
Nhà XB: Proceedings of the 9th International Conference on Knowledge Discovery and Data mining
Năm: 2003
[5] Jessica Lin, Eamonn Keogh, Pranav Patel, Stefano Lonardi, “Finding motifs in time series”, in The 2nd Workshop on Temporal Data Mining, at the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Edmonton, Alberta, Canada Sách, tạp chí
Tiêu đề: Finding motifs in time series”, in "The 2nd Workshop on Temporal Data Mining, at the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
[6] Abdullah Mueen, Eamonn Keogh, Qiang Zhu, Sydney Cash, “Exact Discovery of Time Series Motifs”, SDM 2009, 473-484 Sách, tạp chí
Tiêu đề: Exact Discovery of Time Series Motifs
Tác giả: Abdullah Mueen, Eamonn Keogh, Qiang Zhu, Sydney Cash
Nhà XB: SDM
Năm: 2009
[7] Heng Tang, Stephen Shaoyi Liao, “Discovering original motifs with different lengths from time series”, in Journal Knowledge-Based Systems, Volume 21 Issue 7, October, 2008 Sách, tạp chí
Tiêu đề: Discovering original motifs with different lengths from time series
Tác giả: Heng Tang, Stephen Shaoyi Liao
Nhà XB: Journal Knowledge-Based Systems
Năm: 2008
[8] Berndt, D. and Clifford J., 1994, “Using dynamic time warping to find patterns in time series”, in Proceedings of AAAI Workshop on Knowledge Discovery in Databases, KDD-94, Seattle, Washington, USA, pp. 359-370 Sách, tạp chí
Tiêu đề: Using dynamic time warping to find patterns in time series
Tác giả: Berndt, D., Clifford J
Nhà XB: Proceedings of AAAI Workshop on Knowledge Discovery in Databases, KDD-94
Năm: 1994
[9] Vlachos, M., Gunopulos, D., Das, G., 2004, “Indexing Time Series under Condition of Noise”, in M. Last, A. Kandel & H. Bunke (Eds.), Data Mining in Time Series Databases, World Scientific Publishing, 2004 Sách, tạp chí
Tiêu đề: Data Mining in Time Series Databases
Tác giả: M. Vlachos, D. Gunopulos, G. Das
Nhà XB: World Scientific Publishing
Năm: 2004
[10] R. Agrawal, C. Faloutsos, A. Swami, “Efficient similarity search in sequence databases”, in Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms (FODO '93), Chicago, Illinois, USA, October 13-15, 1993, pp. 69-84 Sách, tạp chí
Tiêu đề: Efficient similarity search in sequence databases
Tác giả: R. Agrawal, C. Faloutsos, A. Swami
Nhà XB: Proceedings of the 4th International Conference on Foundations of Data Organization and Algorithms (FODO '93)
Năm: 1993
[11] Chan, K., Fu, A. W., 1999, “Efficient time series matching by wavelets”, in Proceedings of the 15th IEEE International Conference on Data Engineering, Sydney, Australia, pp. 126-133 Sách, tạp chí
Tiêu đề: Efficient time series matching by wavelets
Tác giả: Chan, K., Fu, A. W
Nhà XB: Proceedings of the 15th IEEE International Conference on Data Engineering
Năm: 1999
[12] E. Keogh, M. J. Pazzani, “An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback”, in Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining, New York City, New York, USA, Aug 27-31, 1998, pp 239-241 Sách, tạp chí
Tiêu đề: An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback”, in "Proceedings of the 4th International Conference on Knowledge Discovery and Data Mining
[13] E. Keogh, S. Chu, D. Hart, M. J. Pazzani, “An online algorithm for segmenting time series”, in Proceedings of the IEEE International Conference on Data Mining (ICDM '01), San Jose, California, USA, 29 Nov 2001 - 02 Dec 2001, pp. 289-296 Sách, tạp chí
Tiêu đề: An online algorithm for segmenting time series
Tác giả: E. Keogh, S. Chu, D. Hart, M. J. Pazzani
Nhà XB: Proceedings of the IEEE International Conference on Data Mining (ICDM '01)
Năm: 2001
[14] E. Keogh, K. Chakrabarti, M. Pazzani, S. Mehrotra, “Locally adaptive dimensionality reduction for indexing large time series databases”, in Proceedings of the 2001 ACM SIGMOD Conference on Management of Data, May 21-24, 2001, pp. 151-162 Sách, tạp chí
Tiêu đề: Locally adaptive dimensionality reduction for indexing large time series databases
Tác giả: E. Keogh, K. Chakrabarti, M. Pazzani, S. Mehrotra
Nhà XB: Proceedings of the 2001 ACM SIGMOD Conference on Management of Data
Năm: 2001
[15] Pevzner, P. A. & Sze, S. H. (2000). “Combinatorial approaches to finding subtle signals in DNA sequences”, in Proceedings of the 8 th International Conference on Intelligent Systems for Molecular Biology. La Jolla, CA, Aug 19-23.pp 269-278 Sách, tạp chí
Tiêu đề: Combinatorial approaches to finding subtle signals in DNA sequences
Tác giả: Pevzner, P. A., Sze, S. H
Nhà XB: Proceedings of the 8 th International Conference on Intelligent Systems for Molecular Biology
Năm: 2000
[16] Gruber,C.,M Coduro, Sick,B., “Signature Verification With Dynamic RBF Network and Time Seried Motif” , The 10 th International Workshop on Frontiers in Hand Writing Recognition 2006 Sách, tạp chí
Tiêu đề: Signature Verification With Dynamic RBF Network and Time Seried Motif
Tác giả: Gruber, C., M Coduro, Sick, B
Nhà XB: The 10th International Workshop on Frontiers in Hand Writing Recognition
Năm: 2006
[17] Keogh E., “A Tutorial on Indexing and Mining Time Series Data”, in Proceedings of the 32th International Conference on Very Large Databases, VLDB2006, Seoul, Korea, 2006 Sách, tạp chí
Tiêu đề: A Tutorial on Indexing and Mining Time Series Data
Tác giả: Keogh E
Nhà XB: Proceedings of the 32th International Conference on Very Large Databases
Năm: 2006

TÀI LIỆU CÙNG NGƯỜI DÙNG

TÀI LIỆU LIÊN QUAN