ICMCS
2009
IEEE
13 years 6 months ago
2009
IEEE
Time series pattern mining (TSPM) finds correlations or dependencies in same series or in multiple time series. When the numerous instances of multiple time series data are associ...
ICDM
2009
IEEE
13 years 6 months ago
2009
IEEE
Abstract--Imbalanced data sets present a particular challenge to the data mining community. Often, it is the rare event that is of interest and the cost of misclassifying the rare ...
FLAIRS
2009
13 years 6 months ago
2009
Time series are found widely in engineering and science. We study multiagent forecasting in time series, drawing from literature on time series, graphical models, and multiagent s...
IEAAIE
2010
Springer
13 years 6 months ago
2010
Springer
In this paper, we propose a new diagnostic checking tool for fuzzy rule-based modelling of time series. Through the study of the residuals in the Lagrange Multiplier testing framew...
IDEAS
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract. We consider the class of applications that manage time series (TS) and propose a data model and a query language that let these applications manipulate TS data sets at a ...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
Temporal causal modeling has been a highly active research area in the last few decades. Temporal or time series data arises in a wide array of application domains ranging from med...
ICDM
2010
IEEE
13 years 6 months ago
2010
IEEE
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...
TMI
2010
13 years 6 months ago
2010
—This paper provides a framework for generating high resolution time sequences of 3D images that show the dynamics of cerebral blood flow. These sequences have the potential to ...
JIDM
2010
13 years 7 months ago
2010
One of the most important challenges for the researchers in the 21st Century is related to global heating and climate change that can have as consequence the intensification of na...
JASIS
2010
13 years 7 months ago
2010
Common measures of term importance in information retrieval (IR) rely on counts of term frequency; rare terms receive higher weight in document ranking than common terms receive. ...