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ADC
2005
Springer
122views Database» more  ADC 2005»
13 years 10 months ago
Finding Similarity in Time Series Data by Method of Time Weighted Moments
Similarity search in time series data is an active area of research in data mining. In this paper we introduce a new approach for performing similarity search over time series dat...
Durga Toshniwal, Ramesh C. Joshi
SSDBM
2005
IEEE
115views Database» more  SSDBM 2005»
13 years 10 months ago
Using Multi-Scale Histograms to Answer Pattern Existence and Shape Match Queries
Similarity-based querying of time series data can be categorized as pattern existence queries and shape match queries. Pattern existence queries find the time series data with ce...
Lei Chen 0002, M. Tamer Özsu, Vincent Oria
INFOVIS
2005
IEEE
13 years 10 months ago
Importance-Driven Visualization Layouts for Large Time Series Data
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...
CBMS
2005
IEEE
13 years 10 months ago
A Practical Tool for Visualizing and Data Mining Medical Time Series
The increasing interest in time series data mining has had surprisingly little impact on real world medical applications. Practitioners who work with time series on a daily basis ...
Li Wei, Nitin Kumar, Venkata Nishanth Lolla, Eamon...
ACMSE
2006
ACM
13 years 10 months ago
Reconstructing networks using co-temporal functions
Reconstructing networks from time series data is a difficult inverse problem. We apply two methods to this problem using co-temporal functions. Co-temporal functions capture mathe...
Edward E. Allen, Anthony Pecorella, Jacquelyn S. F...
WISA
2007
Springer
13 years 10 months ago
Detecting Motifs in System Call Sequences
The search for patterns or motifs in data represents an area of key interest to many researchers. In this paper we present the Motif Tracking Algorithm, a novel immune inspired pat...
William O. Wilson, Jan Feyereisl, Uwe Aickelin
ICCS
2007
Springer
13 years 10 months ago
Inaccuracies of Shape Averaging Method Using Dynamic Time Warping for Time Series Data
Shape averaging or signal averaging of time series data is one of the prevalent subroutines in data mining tasks, where Dynamic Time Warping distance measure (DTW) is known to work...
Vit Niennattrakul, Chotirat Ann Ratanamahatana
AUSDM
2007
Springer
110views Data Mining» more  AUSDM 2007»
13 years 10 months ago
Useful Clustering Outcomes from Meaningful Time Series Clustering
Clustering time series data using the popular subsequence (STS) technique has been widely used in the data mining and wider communities. Recently the conclusion was made that it i...
Jason Chen
IJCNN
2007
IEEE
13 years 11 months ago
A Sound Localization and Recognition System using Pulsed Neural Networks on FPGA
— Pulsed neurons are suitable for processing time series data, like sound signals, and can be easy implemented in hardware. In this paper, we propose an aural information process...
Kaname Iwasa, Mauricio Kugler, Susumu Kuroyanagi, ...
CIDM
2007
IEEE
13 years 11 months ago
Privacy Preserving Burst Detection of Distributed Time Series Data Using Linear Transforms
— In this paper, we consider burst detection within the context of privacy. In our scenario, multiple parties want to detect a burst in aggregated time series data, but none of t...
Lisa Singh, Mehmet Sayal