JCP
2008
13 years 5 months ago
2008
Knowledge discovery in database have been attracting a significant amount of research, industry attention in recent years. Process planning knowledge (PPK) is one of the most impor...
JCP
2008
13 years 5 months ago
2008
The mining of weighted association rules is one of the primary methods used in communication alarm correlation analysis. With large communication alarm database, the traditional me...
JCP
2008
13 years 5 months ago
2008
Existing frequent subgraph mining algorithms can operate efficiently on graphs that are sparse, have vertices with low and bounded degrees, and contain welllabeled vertices and edg...
JCP
2008
13 years 5 months ago
2008
Under the environment of Service-Oriented Architecture (SOA), service users have to decide how to choose the proper provider from the candidates to obtain optimal service level. Th...
JCP
2008
13 years 5 months ago
2008
Implantable pacemaker is a battery operated real time embedded system, which includes software/hardware codesign strategy. As it is placed within the heart by surgery, battery life...
JCP
2008
13 years 5 months ago
2008
In this paper, the data of Chinese stock markets is analyzed by the statistical methods and computer sciences. The fluctuations of stock prices and trade volumes are investigated b...
JCP
2008
13 years 5 months ago
2008
Abstract--Scheduling algorithm for batch-mode dataintensive jobs is a key issue in data-intensive Grid applications. It focuses on how to minimize the overhead of transferring the ...
JCP
2008
13 years 5 months ago
2008
Trust mechanism will be an important trend in the field of security for open network. But, as an important factor risk is little considered in trust model. In this paper, Further w...
JCP
2008
13 years 5 months ago
2008
We examine the relationship between human motion and emotions. With recent improvement of sensing technologies, although precise human motion can be measured, the amount of data gr...
JCP
2008
13 years 5 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...