ACM Home Page
Please provide us with feedback. Feedback
Time series similarity measures (tutorial PM-2)
Full text PdfPdf (1.42 MB)
Source International Conference on Knowledge Discovery and Data Mining archive
Tutorial notes of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining table of contents
Boston, Massachusetts, United States
Pages: 243 - 307  
Year of Publication: 2000
ISBN:1-58113-305-7
Authors
Dimitrios Gunopulos  UC, Riverside
Gautam Das  Microsoft Research
Sponsors
SIGKDD: ACM Special Interest Group on Knowledge Discovery in Data
AAAI : Am Assoc for Artifical Intelligence
SIGART: ACM Special Interest Group on Artificial Intelligence
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 51,   Downloads (12 Months): 378,   Citation Count: 3
Additional Information:

references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/349093.349108
What is a DOI?

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Andreas Aming, Rakesh Agrawal, Prabhnkar Raghavan: A Linear Method for Deviation Detection in Large Databases. KDD 1996: 164-169.
 
2
 
3
 
4
5
6
 
7
Donald J. Bemdt, James Clifford. Using Dynamic Time Warping to Find Patterns in Time Series. KDD Workshop 1994.
 
8
9
10
11
12
 
13
 
14
Chan K, Fu W. "Efficient time series matching by wavelets", ICDE 1999.
15
 
16
C.-W. Chung, S.-L. Lee, S.-J. Chun, D.-H. Kim, J.-H. Lee. Similarity Search for Multidimensional Data Sequences, ICDE 2000.
 
17
 
18
 
19
Gautam Das, King-lp Lin, Heikki Mannila, Gopul Renganathan, Padhraic Smyth: Rule Discovery from Time Series. KDD 1998: 16-22.
20
21
 
22
 
23
24
25
 
26
27
28
 
29
 
30
Imager Wavelet Library. www.cs.uhe.catnest/imager/contribations/bobl/wvlt/top.html.
 
31
P. Indyk, M. Gavrilov, R. Motwani, and D. Angelov, Mining Stock Market Data: Cluster Discovery. SIGKDD 2000.
 
32
 
33
34
 
35
36
 
37
 
38
W.B. Johnson and J. Lindenstrauss, "Extensions of Lipshitz mapping into Hilher t space", Contemporary Mathematics, 26(1984), 189-206.
39
 
40
Kaufman, Rousseauw: "Finding Groups in Dat: an Introduction to Cluster Analysis" John Wiley and Sons, 1995.
 
41
Eamolm J. Keogh, Michael J. Pazzani: An Enhanced Representation of Time Series Which Allows Fast and Accurate Classification, Clustering and Relevance Feedback. KDD 1998: 239-243.
 
42
 
43
Eamonn J. Keogh, Padbraic Smyth: A Probabilistic Approach to Fast Pattern Matching in Time Series Databases. KDD 1997: 24-30.
 
44
Eamonn Keogh, Kaushik Chakrabarti, Michael Pazzani and Sharad Mehrotra, "Dimensionality Reduction for Fast Similarity Search in Large Time Series Databases", Submitted for publication.
 
45
 
46
Keogh, E. (1997). A fast and robust method for pattern matching in tirm series database. In WUSS 1997.
47
 
48
 
49
50
51
 
52
Vikrant Kobla, David S. Doermann, King-Ip Lin, Christos Faloutsos: Compressed-Domain Video Indexing Techniques Using DCT and Morion Vector Information in MPEG Video. Storage and Retrieval for Image and Video Databases (SPIE) 1997: 200-211.
 
53
 
54
 
55
S. Park, W. Chu, J. Yoon, C. Hsu, Efficient Similarity Searches for Time-Warped Subsequeuces in Sequence Databases, ICDE 2000.
 
56
C.-S. Pemg, H. Wang, S. R. Zhang, D. Stutt Parker Landmarks: a New Model for Similarity-based Pattern Querying in Time Series Databases, ICDE 2000.
57
 
58
D. Rafiei and Alberto Mendelzon, "Efficient Retrieval of Similar Time Sequences Using DFT' FODO '98 Conference, Kobe, Japan, November 1998.
 
59
 
60
 
61
Dennis Sbasha. FinTime - a financial time series benchmark, http:llwww.cs.nyu.edulcslfacultylshasha/fmtime.html
 
62
 
63
64
65
 
66
White paper: Data Mining Best Practice Papers (Sampling, Fraud Detection). SAS Institute.
 
67
White, Jain "Algorithms and Strategies for Similarity Retrieval" Tech Report VCL-96-101, Visual Computing Laboratory, UC Dais, 1996.
 
68
 
69
 
70
 
71
Yazdani, N, Bozkaya, T. and Ozsoyoglu, Z.M., "Similarity Search for Sequences of Different Lengths: Matching and Indexing", (submitted for publication), 1998.
 
72


Collaborative Colleagues:
Dimitrios Gunopulos: colleagues
Gautam Das: colleagues