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Representation and similarity measure of time series is the research basic of the time-series data mining. This paper uses ESAX (extended symbolic aggregate approximation) representing the time series similarly and raises an improved time series method of similarity measure ESSVS (ESAX statistical vector space) based on the statistics symbolic vector space method. ESSVS measure the time series similarity...
In the research of Emergency Preparedness (EP), knowledge representation and storage of the EP is one of the most important tasks. However, most of the existing plans are ill-structured and lacked compatibility, which makes it difficult to manage. In this paper, we proposed a formal description of their features and contents, which conforms to Open XML standards, on the basis of the analysis of EPs...
The cellular Potts model (CPM) has been widely used for biological simulations. However, most of current implementations are either sequential or approximate, which cannot be used for large scale complex 3D simulation. In this paper we present a hybrid parallel framework for CPM simulations. The time-consuming partial differential equation (PDE) solving, cell division, and cell reaction operation...
Ranking model construction is an important topic in Web mining. Recently, many approaches based on the idea of ??learning to rank?? have been proposed for this task and most of them attempt to score all documents of different queries by resorting to a single function. In this paper, we propose a novel framework of query-dependent ranking. A simple similarity measure is used to calculate similarities...
This article used statistical data of recent two years. Under the condition that RMB satisfies Markov property, we used Markov chain to compute the frequency matrix and transition probability matrix and moreover, we predicted the future trend of exchange rate. We also simulated the original data using AR model, and added residual factor that is from analysis of Markov Chain. Finally, we got a model...
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