Sciweavers

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...
ICDM
2005
IEEE
147views Data Mining» more  ICDM 2005»
13 years 10 months ago
Partial Elastic Matching of Time Series
We consider the problem of elastic matching of time series. We propose an algorithm that determines a subsequence of a target time series that best matches a query series. In the ...
Longin Jan Latecki, Vasileios Megalooikonomou, Qia...
ICDM
2005
IEEE
271views Data Mining» more  ICDM 2005»
13 years 10 months ago
HOT SAX: Efficiently Finding the Most Unusual Time Series Subsequence
In this work, we introduce the new problem of finding time series discords. Time series discords are subsequences of a longer time series that are maximally different to all the r...
Eamonn J. Keogh, Jessica Lin, Ada Wai-Chee Fu
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...
CBMS
2005
IEEE
13 years 10 months ago
Approximations to Magic: Finding Unusual Medical Time Series
In this work we introduce the new problem of finding time series discords. Time series discords are subsequences of longer time series that are maximally different to all the rest...
Jessica Lin, Eamonn J. Keogh, Ada Wai-Chee Fu, Hel...
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
13 years 11 months ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ICDM
2006
IEEE
154views Data Mining» more  ICDM 2006»
13 years 11 months ago
Mining and Predicting Duplication over Peer-to-Peer Query Streams
Many previous works of data mining user queries in Peer-to-Peer systems focused their attention on the distribution of query contents. However, few has been done towards a better ...
Shicong Meng, Yifeng Shao, Cong Shi, Dingyi Han, Y...
ICDM
2006
IEEE
151views Data Mining» more  ICDM 2006»
13 years 11 months ago
Decision Trees for Functional Variables
Classification problems with functionally structured input variables arise naturally in many applications. In a clinical domain, for example, input variables could include a time...
Suhrid Balakrishnan, David Madigan
APCCAS
2006
IEEE
249views Hardware» more  APCCAS 2006»
13 years 11 months ago
Uncertainty Management for Estimation in Dynamical Systems
— A novel black-box model for time series of prices analysis is proposed. It is constructed using the technique of “shaping filter”. The model identification is then propos...
H. Baili
ICCS
2007
Springer
13 years 11 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