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Nowadays, with the explosive growth of the network technologies many new applications and services have been developed on Internet. World Wide Web can provide these services provided without the limitation of time and location. Obviously, the number of user is dramatically increasing from amount of the visitations of web pages. In our previous work, we proposed an algorithm to discover more significant...
Both sequential pattern mining and temporal pattern mining have become highly relevant data mining topics in this decade. In 2009, Wu and Chen proposed a representation for hybrid events and an HTPM mining method. However, their approach neither addresses nor analyzes the length of event time. An event representation may stand for the same event with extremely different time lengths, which may induces...
A quasi-experiment was conducted in this research to investigate the feasibility of using Alice in teaching high school students programming concepts. The subjects were 166 10th-grade students from four intact classes. Alice was taught to two randomly selected classes, and the other two classes were taught C++, both for 8 weeks. The programming constructs students learned included variables, arithmetic...
The cache utilization seriously impacts on program performance, whereas the cache behavior is transparent to developers so that they cannot get opportunity to optimize their programs by reducing cache miss rates. This paper introduces a useful instrumentation tool, Cachebit, which is built with Crossbit - a dynamic binary translation (DBT) framework with intermediate instruction layer. Cachebit simulates...
In traditional dynamic binary translation (DBT) systems, poor profile information at runtime limits the manner of optimization. Combining dynamic binary translation with static analysis brings an opportunity to improve the runtime performance. Once the source image has been executed, the profile information and target code will be saved, which are available at next runs. Moreover, optimizations will...
This research focuses on how a multi-robot system can work cooperatively to complete patrol missions. The planning and assignment of patrol points to the robots are the major issues to tackle with. A cooperative auction system (CAS) is proposed to solve the problem of patrol planning. Here, each mobile robot picks its own patrol points via the cooperative auction system and the system will continuously...
In many virtual environments (VE) applications, the size of the database is not only extremely large, it is also growing rapidly. However, little approaches for discovering object correlations in VE to improve the performance of storage systems. In this paper, we develop a class of view-based projection-generation method for mining various frequent sequential traversal patterns in the VE. The frequent...
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