APBC
2004
13 years 6 months ago
2004
This paper describes a novel approach to representing experimental biological data in metabolic networks. The aim is to allow biologists to visualise and analyse the data in the c...
IJCAI
2007
13 years 6 months ago
2007
Time series data abounds in real world problems. Measuring the similarity of time series is a key to solving these problems. One state of the art measure is the longest common sub...
SDM
2010
SIAM
13 years 6 months ago
2010
SIAM
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
AAAI
2007
13 years 7 months ago
2007
The problem of locating motifs in real-valued, multivariate time series data involves the discovery of sets of recurring patterns embedded in the time series. Each set is composed...
TSDM
2000
13 years 8 months ago
2000
The novel Time Series Data Mining (TSDM) framework is applied to analyzing financial time series. The TSDM framework adapts and innovates data mining concepts to analyzing time ser...
CIDM
2009
IEEE
13 years 9 months ago
2009
IEEE
Abstract-- Automatic recognition of activities using time series data collected from exercise can facilitate development of applications that motivate people to exercise more frequ...
SIGIR
1999
ACM
13 years 9 months ago
1999
ACM
There has been much recent interest in retrieval of time series data. Earlier work has used a fixed similarity metric (e.g., Euclidean distance) to determine the similarity betwee...
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...
IV
2003
IEEE
13 years 10 months ago
2003
IEEE
A visualisation system that deals with two modalities of information – numerical and textual – is presented. The current application domain is that of prediction in financial ...
GECCO
2005
Springer
13 years 10 months ago
2005
Springer
In this work we present an improved evolutionary method for inferring S-system model of genetic networks from the time series data of gene expression. We employed Differential Ev...