Database Reference
In-Depth Information
38. Keogh, E.J., Chu, S., Hart, D., and Pazzani, M.J. (2001). An Online Algo-
rithm for Segmenting Time Series.
Proceedings of the IEEE International
Conference on Data Mining
, pp. 289-296.
39. Keogh, E.J. (1997). Fast Similarity Search in the Presence of Lon-
gitudinal Scaling in Time Series Databases.
Proceedings of
the Ninth
IEEE International Conference on Tools with Artificial
Intelligence
,
pp. 578-584.
40. Kim, S.-W., Park, S., and Chu, W.W. (2001). An Index-Based Approach for
Similarity Search Supporting Time Warping in Large Sequence Databases.
Proceedings of the Seventeenth International Conference on Data Engineer-
ing
, pp. 607-614.
41. Lam, S.K. and Wong, M.H. (1998). A Fast Projection Algorithm for Sequence
Data Searching.
Data and Knowledge Engineering
,
28
(3), 321-339.
42. Last, M., Klein, Y., and Kandel, A. (2001). Knowledge Discovery in Time
Series Databases.
IEEE Transactions on Systems, Man, and Cybernetics
,
Part B,
31
(1), 160-169.
43. Lee, S.-L., Chun, S.-J., Kim, D.-H., Lee, J.-H., and Chung, C.-W.
(2000). Similarity Search for Multidimensional Data Sequences.
Pro-
ceedings of the Sixteenth International Conference on Data Engineering
,
pp. 599-608.
44. Li, C.-S., Yu, P.S., and Castelli, V. (1998). MALM: A Framework for Mining
Sequence Database at Multiple Abstraction Levels.
ProceedingsoftheSev-
enth International Conference on Information and Knowledge Management
,
pp. 267-272.
45. Lin, L., and Risch, T. (1998). Querying Continuous Time Sequences.
Pro-
ceedings of the Twenty-Fourth International Conference on Very Large Data
Bases
, pp. 170-181.
46. Lu, H., Han, J., and Feng, L. (1998). Stock Movement Prediction and
-
Dimensional Inter-Transaction Association Rules.
ProceedingsoftheACM
SIGMOD Workshop on Research Issues in Data Mining and Knowledge Dis-
covery
, pp. 12:1-7.
47. Maurer, K., and Dierks, T. (1991).
Atlas of Brain Mapping: Topographic
Mapping of EEG and Evoked Potentials
, Springer-Verlag, Berlin, Germany.
48. Niedermeyer, E., and Lopes DaSilva, F. (1999).
Electroencephalography: Basic
Principles, Clinical Applications, and Related Fields.
Lippincott, Williams
and Wilkins, Baltimore, MD, fourth edition.
49. Park, S., Lee, D., and Chu, W.W. (1999). Fast Retrieval of Similar Subse-
quences in Long Sequence Databases.
Proceedings of the Third IEEE Knowl-
edge and Data Engineering Exchange Workshop
.
50. Park, S., Chu, W.W., Yoon, J., and Hsu, C. (2000). Ecient Searches for Sim-
ilar Subsequences of Different Lengths in Sequence Databases.
Proceedings
of the Sixteenth International Conference on Data Engineering
, pp. 23-32.
51. Park, S., Kim, S.-W., and Chu, W.W. (2001). Segment-Based Approach for
Subsequence Searches in Sequence Databases.
Proceedings of the Sixteenth
ACM Symposium on Applied Computing
, pp. 248-252.
N