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Ontology learning is from a given area document sets automatic or semi-automatic extraction terms to construct a domain ontology. Area concept extraction is one of the most important aspects in building ontology. In this paper, we proposed an improved area concept extraction algorithm. In the algorithm, we firstly employed association rule algorithm to obtain the similarity between the sememes, and...
The bit permutation unit consists of bit permutation network and configuration information. In the article, a configuration information parallel extraction algorithm with time complexity O (log2N) based on Waksman network is presented to achieve not only bit permutation system on reconfigurable cipher microprocessors but also an arbitrary N × N bit permutation. This algorithm can support bit permutation...
Multiple layers in graphs or vector maps are a general case but complicated network in various applications. The classical shortest path algorithm, such as the Dijkstra's algorithm, can not be applied to the multiple layers directly. A new shortest path approach for multiple layers of graphs or vector maps was proposed in this paper. Firstly, the multiple layers should be overlaid with an improved...
Replication technique is an effective method for improving the availability of data and enhancing performance, however, it also brings significant costs in storage space and traffic. In this paper, we study how to decrease redundant traffic cost and redundant replicas for replication in structured P2P overlay by topology optimization. We develop a hierarchical proximity-aware P2P overlay with dominating...
It is one of important algorithms to calculate intersection, union and difference between two polygons in computer graphics and also the kernel approach of spatial overlay analysis in geographic information system (GIS). The operating efficiency and ubiquity are directly influenced by the optimizing algorithm. Firstly, an efficient algorithm for intersection, union and difference between two convex...
Gaussian mixture model (GMM) has been widely used in fields of image processing and investment data mining. However, in many practical applications, the number of the components is not known. This paper proposes a kind of greedy merge EM (GMEM) learning algorithm such that the number of Gaussians can be determined automatically with the minimum message length (MML) criterion. Moreover, the greedy...
In e-learning, online-learning management system (LMS) as an open electronic platform supports learning and teaching from different places. LMS can realize collaboration of learning process. Exact learning process can ensure the normal running of LMS. With the constantly change of teaching environment, learning process models don't keep stable. The large mount of process logs are saved in LMS. These...
Exact government process models can ensure the normal running of electronic government. Unfortunately, traditional modeling approaches have some limitations to meet these demands due to their inherent static properties. Therefore this paper researches an automatic government process remodeling approach. The core of the method is process remodeling algorithm. In the algorithm a Markov transition matrix...
The normal running of electronic government depends on government process models. The traditional government process is static. With the development of government, government processes become changeful. Unfortunately, traditional modeling approaches have some limitations to meet these demands due to their inherent static properties. Therefore this paper researches an automatic government process remodeling...
In e-business logistic management logistics collaboration becomes more and more important. E-Business Logistic management system as an open electronic platform can realize logistics collaboration and supports the operation of logistic. Exact logistic process can ensure the normal running of the system. With the constantly change of logistic environment, logistic process models don't keep stable. The...
Path planning for robots with many degrees of freedom (dof) receives continuous interest in both robotics and computer graphics communities. A variety of random sampling-based methods have been proposed to solve the path planning problems in high-dimensional configuration space, including Probabilistic Roadmap Method (PRM) and Rapidly-exploring Random Trees (RRTs). However, the efficiency will be...
A data preprocessing system for constructing the transactions in Web usage mining is presented. To implement transaction identification, the user sessions and the user access paths are extracted from the Web access log and missing information is appended. These tasks are accomplished with the application of the referer-based method, which is an effective solution to the problems introduced by using...
Business process management system is the base of realization of Economic Business. Exact business process models can ensure the normal running of business process management system. With the constantly change of market requirement, process models don't keep stable. There are large mount of process logs in business process management system. These logs involve information of various business processes...
Previous algorithms mine the complete set of sequential patterns in large database efficiently, but when mining long sequential patterns in dense databases or using low minimum supports, it may produce many redundant patterns and some uninterested patterns. In this paper, a novel weighted closed sequential pattern mining algorithm (WCSpan) is presented, which implements the closed sequential pattern...
Traditional business process management systems only focus on process definition and running. This paper designs an intelligent business process system to realize process diagnosis, analysis, optimization, and prediction. Process mining engine is the key component of the intelligent system. This paper designs a process mining algorithm based on Markov matrix to realize business process remodeling...
The attribute reduction of information system can improve the accuracy of knowledge discovery, machine learning, etc. and it also can improve the efficiency. This paper proposes an attribute testing reduction algorithm, the algorithm can make the information system retain as few as attributes under the condition that maintains the original style, it can not only save much time for the later system...
Georeferencing is a key component in GIS systems. However, its performance has been dragged by the manual georeferencing process. In this paper, we develop a scalable and error tolerant automated georeferencing scheme for general affine transformations called localized matching and global optimization (LM-GO). Under LM-GO, the complexity of control point pair (CPP) matching is not directly tied to...
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