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» Using the CALANDA Time Series Management System
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SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 10 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh
TFS
2008
123views more  TFS 2008»
13 years 8 months ago
Numerical and Linguistic Prediction of Time Series With the Use of Fuzzy Cognitive Maps
Abstract--In this paper, we introduce a novel approach to timeseries prediction realized both at the linguistic and numerical level. It exploits fuzzy cognitive maps (FCMs) along w...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz
ICDE
2001
IEEE
118views Database» more  ICDE 2001»
14 years 10 months ago
Tuning an SQL-Based PDM System in a Worldwide Client/Server Environment
The management of product-related data in a uniform and consistent way is a big challenge for many manufacturing enterprises, especially the large ones like DaimlerChrysler. So-ca...
Erich Müller, Jost Enderle, M. Feltes, Peter ...
BMCBI
2005
120views more  BMCBI 2005»
13 years 8 months ago
Robust detection of periodic time series measured from biological systems
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...
Miika Ahdesmäki, Harri Lähdesmäki, ...
IJCNN
2000
IEEE
14 years 29 days ago
Input Window Size and Neural Network Predictors
Neural Network approaches to time series prediction are briefly discussed, and the need to specify an appropriately sized input window identified. Relevant theoretical results fro...
Ray J. Frank, Neil Davey, S. P. Hunt