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From Large Time Series to Patterns Movies: Application to Airbus Helicopters Flight Data
Advances in Databases and Information Systems - Lecture Notes in Computer Science
◽
10.1007/978-3-030-82472-3_16
◽
2021
◽
pp. 213-226
Author(s):
Benjamin Chazelle
◽
Pierre-Loic Maisonneuve
◽
Ammar Mechouche
◽
Jean-Marc Petit
◽
Vasile-Marian Scuturici
Keyword(s):
Time Series
◽
Large Time
◽
Flight Data
Download Full-text
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References
On the Discovery of Weak Periodicities in Large Time Series
Principles of Data Mining and Knowledge Discovery - Lecture Notes in Computer Science
◽
10.1007/3-540-45681-3_5
◽
2002
◽
pp. 51-61
◽
Cited By ~ 23
Author(s):
Christos Berberidis
◽
Ioannis Vlahavas
◽
Walid G. Aref
◽
Mikhail Atallah
◽
Ahmed K. Elmagarmid
Keyword(s):
Time Series
◽
Large Time
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Modeling Large Time Series for Efficient Approximate Query Processing
Database Systems for Advanced Applications - Lecture Notes in Computer Science
◽
10.1007/978-3-319-22324-7_16
◽
2015
◽
pp. 190-204
◽
Cited By ~ 3
Author(s):
Kasun S. Perera
◽
Martin Hahmann
◽
Wolfgang Lehner
◽
Torben Bach Pedersen
◽
Christian Thomsen
Keyword(s):
Time Series
◽
Query Processing
◽
Large Time
◽
Approximate Query Processing
◽
Approximate Query
Download Full-text
Typical Time Series Analysis of Flight Data Based on ARMA Model
Time Series Analysis Methods and Applications for Flight Data
◽
10.1007/978-3-662-53430-4_3
◽
2016
◽
pp. 65-85
Author(s):
Jianye Zhang
◽
Peng Zhang
Keyword(s):
Time Series
◽
Time Series Analysis
◽
Arma Model
◽
Flight Data
◽
Series Analysis
◽
Typical Time
Download Full-text
A Novel Fractal Representation for Dimensionality Reduction of Large Time Series Data
Advances in Knowledge Discovery and Data Mining - Lecture Notes in Computer Science
◽
10.1007/978-3-642-01307-2_105
◽
2009
◽
pp. 989-996
◽
Cited By ~ 3
Author(s):
Poat Sajjipanon
◽
Chotirat Ann Ratanamahatana
Keyword(s):
Time Series
◽
Dimensionality Reduction
◽
Large Time
◽
Time Series Data
◽
Series Data
◽
Fractal Representation
Download Full-text
Scalable Algorithm for Subsequence Similarity Search in Very Large Time Series Data on Cluster of Phi KNL
Communications in Computer and Information Science - Data Analytics and Management in Data Intensive Domains
◽
10.1007/978-3-030-23584-0_9
◽
2019
◽
pp. 149-164
◽
Cited By ~ 1
Author(s):
Yana Kraeva
◽
Mikhail Zymbler
Keyword(s):
Time Series
◽
Similarity Search
◽
Large Time
◽
Time Series Data
◽
Series Data
◽
Scalable Algorithm
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Discovering Representative Models in Large Time Series Databases
Flexible Query Answering Systems - Lecture Notes in Computer Science
◽
10.1007/978-3-540-25957-2_8
◽
2004
◽
pp. 84-97
◽
Cited By ~ 17
Author(s):
Simona Rombo
◽
Giorgio Terracina
Keyword(s):
Time Series
◽
Large Time
Download Full-text
An Improvement of PAA for Dimensionality Reduction in Large Time Series Databases
PRICAI 2008: Trends in Artificial Intelligence - Lecture Notes in Computer Science
◽
10.1007/978-3-540-89197-0_64
◽
2008
◽
pp. 698-707
◽
Cited By ~ 17
Author(s):
Nguyen Quoc Viet Hung
◽
Duong Tuan Anh
Keyword(s):
Time Series
◽
Dimensionality Reduction
◽
Large Time
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Visual analysis of frequent patterns in large time series
2010 IEEE Symposium on Visual Analytics Science and Technology
◽
10.1109/vast.2010.5650766
◽
2010
◽
Author(s):
M. C. Hao
◽
M. Marwah
◽
H. Janetzko
◽
D. A. Keim
◽
U. Dayal
◽
...
Keyword(s):
Time Series
◽
Large Time
◽
Visual Analysis
◽
Frequent Patterns
Download Full-text
A Method for the Detection of Planetary Transits in Large Time Series Data Sets
The Astrophysical Journal
◽
10.1086/427259
◽
2005
◽
Vol 620
(2)
◽
pp. 1033-1042
◽
Cited By ~ 11
Author(s):
David T. F. Weldrake
◽
Penny D. Sackett
Keyword(s):
Time Series
◽
Large Time
◽
Time Series Data
◽
Series Data
◽
Data Sets
◽
Planetary Transits
Download Full-text
Locally adaptive dimensionality reduction for indexing large time series databases
ACM SIGMOD Record
◽
10.1145/376284.375680
◽
2001
◽
Vol 30
(2)
◽
pp. 151-162
◽
Cited By ~ 193
Author(s):
Eamonn Keogh
◽
Kaushik Chakrabarti
◽
Michael Pazzani
◽
Sharad Mehrotra
Keyword(s):
Time Series
◽
Dimensionality Reduction
◽
Large Time
◽
Locally Adaptive
Download Full-text
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