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» Modelling series of studies with a common structure
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WSC
2007
13 years 9 months ago
Using empirical demand data and common random numbers in an agent-based simulation of a distribution network
Agent-based simulation provides a methodology to investigate complex systems behavior, such as supply chains, while incorporating many empirical elements relative to both systems ...
William J. Sawaya
ICDE
2010
IEEE
188views Database» more  ICDE 2010»
14 years 7 months ago
Space-efficient Online Approximation of Time Series Data: Streams, Amnesia, and Out-of-order
In this paper, we present an abstract framework for online approximation of time-series data that yields a unified set of algorithms for several popular models: data streams, amnes...
Sorabh Gandhi, Luca Foschini, Subhash Suri
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
13 years 8 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
IADIS
2008
13 years 8 months ago
Data Mining In Non-Stationary Multidimensional Time Series Using A Rule Similarity Measure
Time series analysis is a wide area of knowledge that studies processes in their evolution. The classical research in the area tends to find global laws underlying the behaviour o...
Nikolay V. Filipenkov
VISUALIZATION
1999
IEEE
13 years 11 months ago
Visualizing the Evolution of a Subject Domain: A Case Study
We explore the potential of information visualization techniques in enhancing existing methodologies for domain analysis and modeling. In this case study, we particularly focus on...
Chaomei Chen, Les Carr