130 search results - page 2 / 26 » Discovering Representative Models in Large Time Series Datab... |
KDD
2002
ACM
14 years 5 months ago
2002
ACM
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
CEC
2009
IEEE
13 years 11 months ago
2009
IEEE
— The paper proposes a hypernetwork-based method for stock market prediction through a binary time series problem. Hypernetworks are a random hypergraph structure of higher-order...
DASFAA
2008
IEEE
13 years 11 months ago
2008
IEEE
Abstract. Recently, we have proposed a novel method for the compression of time series based on mathematical models that explore dependencies between different time series. This r...
IDEAS
2010
IEEE
13 years 2 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 ...