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VLDB
2000
ACM
97views Database» more  VLDB 2000»
13 years 9 months ago
Identifying Representative Trends in Massive Time Series Data Sets Using Sketches
Piotr Indyk, Nick Koudas, S. Muthukrishnan
DMIN
2006
120views Data Mining» more  DMIN 2006»
13 years 6 months ago
Time Series as a Point - A Novel Approach for Time Series Cluster Visualization
: Temporal data mining is concerned with the analysis of temporal data and finding temporal patterns, regularities, trends, clusters in sets of temporal data. Wavelet transform pro...
R. Pradeep Kumar, P. Nagabhushan
FSS
2008
126views more  FSS 2008»
13 years 4 months ago
Linguistic summarization of time series using a fuzzy quantifier driven aggregation
We propose new types of linguistic summaries of time-series data that extend those proposed in our previous papers. The proposed summaries of time series refer to the summaries of...
Janusz Kacprzyk, Anna Wilbik, Slawomir Zadrozny
CSDA
2006
191views more  CSDA 2006»
13 years 5 months ago
Forecasting daily time series using periodic unobserved components time series models
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
Siem Jan Koopman, Marius Ooms
APPROX
2011
Springer
197views Algorithms» more  APPROX 2011»
12 years 5 months ago
Periodicity and Cyclic Shifts via Linear Sketches
We consider the problem of identifying periodic trends in data streams. We say a signal a ∈ Rn is p-periodic if ai = ai+p for all i ∈ [n − p]. Recently, Erg¨un et al. [4] pr...
Michael S. Crouch, Andrew McGregor