Rakesh Agrawal, Giuseppe Psaila, Edward L. Wimmers, and Mohamed Zait. Querying shapes of histories. In Proceedings of the Twenty-First International Conference on Very Large Data Bases, pages 502-514, 1995.

Rakesh Agrawal, Manish Mehta, John C. Shafer, Ramakrishnan Srikant, Andreas Arning, and Toni Bollinger. The Quest data mining system. In Proceedings of the Second ACM  International Conference on Knowledge Discovery and Data Mining, pages 211-219, 1996.

Bela Bollobas, Gautam Das, Dimitrios Gunopulos, Heikki Mannila. Time-series similarity problems and well-separated geometric sets. In Proceedings of the Thirteenth Annual Symposium on Computational Geometry, pages 151-156, 1997.

Tolga Bozkaya and Z. Meral Ozsoyoglu. Indexing large metric spaces for similarity search queries. ACM Transactions on Database Systems, 24(3), pages  361-404, 1999.

Tolga Bozkaya , Nasser Yazdani and Z. Meral Ozsoyoglu. Matching and indexing sequences of different lengths. In Proceedings of the Sixth International Conference on Information and Knowledge Management, pages 128-135, 1997.

Kin-Pong Chan and Ada Wai-Chee Fu. Efficient time series matching by wavelets. In Proceedings of the Fifteenth International Conference on Data Engineering, pages 126-133, 1999.

Kin-Pong Chan, Ada Wai-Chee Fu, and C. Yu. Haar wavelets for efficient similarity search of time-series: With and without time warping. IEEE Transactions on Knowledge and Data Engineering.

Ed Huai-Hsin Chi, Phillip Barry, Elizabeth Shoop, John V. Carlis, Ernest Retzel, and John Riedl. Visualization of biological sequence similarity search results. In Proceedings of the IEEE Conference on Visualization, pages 44-51, 1995.

Corinna Cortes, Kathleen Fisher, Daryl Pregibon and Anne Rogers. Hancock: A language for extracting signatures from data streams. In Proceedings of the Sixth ACM International Conference on Knowledge Discovery and Data Mining, pages 9-17, 2000.

Gautam Das, Dimitrios Gunupulos and Heikki Mannila. Finding similar time series. In Proceedings of the First European Conference on Principles of Data Mining and Knowledge Discovery, pages 88-100, 1997.

Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan and Padhraic Smyth. Rule discovery from time series. In Proceedings of the Fourth ACM International Conference on Knowledge Discovery and Data Mining, pages 16-22, 1998.

Kan Deng. OMEGA: On-Line Memory Based General Purpose System Classifier. PhD thesis, Robotics Institute, Carnegie Mellon University, 1998.

Pedro Domingos and Geoff Hulten. Mining high-speed data streams. In Proceedings of the Sixth ACM International Conference on Knowledge Discovery and Data Mining, pages 71-80, 2000.

Tony Fountain, Thomas G. Dietterich, and Bill Sudyka. Mining IC test data to optimize VLSI testing. In Proceedings of the Sixth ACM International Conference on Knowledge Discovery and Data Mining, pages 18-25, 2000.

Martin Gavrilov, Dragomir Anguelov, Piotr Indyk and Rajeev Motwani. Mining the stock market: Which measure is best. In Proceedings of the Sixth ACM International Conference on Knowledge Discovery and Data Mining, pages 487-496, 2000.

Dina Q. Goldin and Paris C. Kanellakis. On similarity queries for time-series data: Constraint specification and implementation. In Proceedings of the First International Conference on Principles and Practice of Constraint Programming, pages 137-153, 1995.

Amara L. Graps. An introduction to wavelets. IEEE Computational Science and Engineering, 2(2), pages 50-61, 1995.

Valery Guralnik and Jaideep Srivastava. Event detection from time series data. In Proceedings of the Fifth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 33-42, 1999.

Valery Guralnik, Duminda Wijesekera, and Jaideep Srivastava. Pattern-directed mining of sequence data. In Proceedings of the Fourth ACM International Conference on Knowledge Discovery and Data Mining, pages 51-57, 1998.

Jiawen Han, Wan Gong, and Yiwen Yin. Mining segment-wise periodic patterns in time-related databases. In Proceedings of the Fourth ACM International Conference on Knowledge Discovery and Data Mining, pages 214-218, 1998.

Yun-Wu Huang and Philip S. Yu. Adaptive query processing for time-series data. In Proceedings of the Fifth International Conference Knowledge Discovery and Data Mining, pages 282-286, 1999.

Keita Ikeda, Bradley V. Vaughn, and Stephen R. Quint. Wavelet Decomposition of heart period data. In Proceedings of the IEEE First Joint BMES/EMBS Conference, pages 3-11, 1999.

Henrik Andre-Jonsson and Dushan Z. Badal. Using siganture files for querying time-series data. In Proceedings of the First European Symposium on Principles of Data Mining and Knowledge Discovery, pages 211-220, 1997.

Eamonn J. Keogh. Fast similarity search in the presence of longitudinal scaling in time series databases. In Proceedings of the Ninth IEEE International Conference on Tools with Artificial Intelligence, pages 578-584, 1997.

Eamonn J. Keogh and Michael J. Pazzani. An enhanced representation of time series which allows fast and accurate classification, clustering and relevance feedback. In Proceedings of the Fourth ACM International Conference on Knowledge Discovery and Data Mining, pages 239-243, 1998.

Eamonn J. Keogh and Michael J. Pazzani. Scaling up dynamic time warping for data mining applications. In Proceedings of the Sixth ACM International Conference on Knowledge Discovery and Data Mining, pages 285-289, 2000.

Eamonn J. Keogh, Selina Chu, David Hart, and Michael J. Pazzani. An online algorithm for segmenting time-series. In Proceedings of the IEEE International Conference on Data Mining, 2001.

Eamonn J. Keogh, Kaushik Chakrabarti, Sharad Mehrotra, and Michael J. Pazzani. Locally adaptive dimensionality reduction for indexing large time series databases. In Proceedings of the ACM SIGMOD Conference, 2001.

Sang-Wook Kim, Sanghyun Park, and Wesley W. Chu. An index-based approach for similarity search supporting time warping in large sequence databases. In Proceedings of the Seventeenth International Conference on Data Engineering, pages 607-614, 2001.

Sze Kin Lam and Man Hon Wong. A fast projection algorithm for sequence data searching. Data and Knowledge Engineering, 28, pages 321-339, 1998.

Mark Last, Yaron Klein, and Abraham Kandel. Knowledge discovery in time series databases. IEEE Transactions on Systems, Man and Cybernetics, pages 160-169, 2001.

Seok-Lyonh Lee, Seok-Ju Chun, Deok-Hwan Kim, Ju-Hong Lee, and Chin-Wan Chung. Similarity search for multidimensional data sequences. In Proceedings of the Sixteenth International Conference on Data Engineering, pages 599-608, 2000.

Chung-Sheng Li, Philip S. Yu and Vittorio Castelli. MALM: A framework for mining sequence database at multiple abstraction levels. In Proceedings of the Seventeeth International Conference on Information and Knowledge Management, pages 267-272, 1998.

Ling Lin and Tore Risch. Querying continuous time sequences. In Proceedings of the Twenty-Fourth International Conference on Very Large Data Bases, pages 170-181, 1998.

Hongjun Lu, Jiawei Han, and Ling Feng. Stock movement prediction and N-dimensional inter-transaction association rules. In Proceedings of the ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, pages 1-7, 1998.

Sanghyun Park, Dongwon Lee, and Wesley W. Chu. Fast retrieval of similar subsequences in long sequence databases. In Proceedings of the Third IEEE Knowledge and Data Engineering Exchange Workshop, 1999.

Sanghyun Park, Wesley W. Chu, Jeehee Yoon, and Chihcheng Hsu. Efficient searches for similar subsequences of different lengths in sequence databases. In Proceedings of the Sixteenth International Conference on Data Engineering, pages 23-32, 2000.

Sanghyun Park, Sang-Wook Kim ,and Wesley W. Chu. Segment-based approach for subsequence searches in sequence databases. In Proceedings of the Sixteenth ACM Symposium on Applied Computing, pages 248-252, 2001.

Chang-Shing Perng, Haixun Wang, Sylvia R. Zhang, and D. Scott Parker. Landmarks: A new model for similarity-based pattern querying in time series databases. In Proceedings of the Sixteenth International Conference on Data Engineering, pages 33-42, 2000.

Shai Policker and Amir B. Geva. Nonstationary time series analysis by temporal clustering. IEEE Transactions on Systems, Man and Cybernetics, pages 339-343, 2000.

Kevin B. Pratt. Locating patterns in discrete time series. Master's thesis, Computer Science and Engineering, University of South Florida, 2001.

Yunyao Qu, Changzhou Wang, and Xiaoyang Sean Wang. Supporting fast search in time series for movement patterns in multiple scales. In Proceedings of the Seventeenth International Conference on Information and Knowledge Management, pages 251-258, 1998.

Gholamhosein Sheikholeslami, Surojit Chatterjee and Aidong Zhang. WaveCluster: A multi-resolution clustering approach for very large spatial databases. In Proceedings of the Twenty-Fourth International Conference on Very Large Data Bases, pages 428-439, 1998.

Sameer Singh and Paul McAtackney. Dynamic time-series forecasting using local approximation. In Proceedings of the Tenth IEEE International Conference on Tools with Artificial Intelligence, pages 392-399, 1998.

David S. Stoffer. Detecting common signals in multiple time series using the spectral envelope. Journal of the American Statistical Association, pages 1341-1356, 1999.

Byoung-Kee Yi, Nikolaos D. Sidiropoulos, Theodore Johnson, H. V. Jagadish, Christos Faloutsos and Alexadros Biliris. Online data mining for co-evolving time sequences. In Proceedings of the Sixteenth International Conference on Data Engineering, pages 13-22, 2000.