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With the advent of the big data era, data mining technology has gradually become mature, association rules analysis is also applied in many fields. Web log mining is an important way to do some personalized services and achieve Web personalize. Apriori algorithm is a classical algorithm of association rules, but it has a lot of shortcomings. In recent years, the improvement about Apriori algorithm...
High voltage transmission lines have a clear and necessary straight-line feature, which can be obtained by using the method proposed in this paper to process captured images. Since high voltage transmission lines operate in a complex environment, it not only increases the noise in captured pictures, but also makes it harder to extract the transmission lines due to background interference. In order...
Clos networks provide the theoretically optimal solution to build high-radix switches. This paper proposes a novel asynchronous routing algorithm for general asynchronous three-stage Clos networks. As the major sub-algorithm controlling the first two stages, the asynchronous dispatching algorithm outperforms the synchronous concurrent round-robin dispatching algorithm in behaviour level simulations...
The resource distribution in P2P network has an obvious scale free character. Using this inherent character to design resource search strategy is great significant for improving searching efficiency and reducing the costs. We analyze the scale free distribution character in P2P network, and propose a reliable random walk search algorithm to achieve high and reliable search efficiency through forwarding...
Huge amounts of data are available in large-scale networks of autonomous data sources dispersed over a wide area. Data mining is an essential technology for obtaining hidden and valuable knowledge from these networked data sources. In this paper, we investigate clustering, one of the most important data mining tasks, in one of such networked computing environments, i.e., Peer-to-Peer (P2P) network...
In the past decades, many algorithms with the goal of achieving energy efficiency have been proposed for scheduling real-time tasks. Due to a lack of a unified testing framework, most of them were evaluated via simulations under their own experimental scenarios. However, finding their performance in real processors is essential if these algorithms are to be used in practice. In this paper, we design...
Most previous sequential mining algorithms have the following two main drawbacks: On one hand, all sequential patterns are treated uniformly while sequential patterns have different importance. On the other hand, most of the sequence mining algorithms still generate an exponentially large number of sequential patterns when a minimum support is lowered. In this paper, a weighted closed sequential pattern...
In this paper, we investigate a novel cooperative relay network over Rayleigh flat fading channel. It focus of single-relays equipped by two transmit antennas with the modulate-and-forward protocol, which corresponds to distributed implementations of MIMO system. For each relay node, the received signals are modulated via the sub-matrices of Jacket matrix and forwarded to destination node. We obtain...
Aiming at the disadvantages of user-based collaborative filtering algorithm and item-based collaborative filtering algorithm on the instance of userpsilas rating datapsilas extreme sparseness, introducing the similarity of item genre and rating and improving on it. The high ratings of users group can also affect similarity when calculating the similarities of item genre and ratings. Through the experiment...
This paper gave a brief introduction of Phasor Measurement Unit (PMU) in the Wide Area Measurement System (WAMS) of power systems, and studied the error characteristics of the discrete Fourier calculation of phasor in the condition of a sinusoidal signal with frequency deviation from nominal frequency. Then, a program calculated the phasor using discrete Fourier transform under the platform of MATLAB...
With the rapid development of the network technique and the prevalence of the Internet, e-learning has become the major trend of the development of international education since 1980s, and the important access for the internationalization and the information of education. To meet the personalized needs of learners in e-learning, a new Web text clustering method for personalized e-learning based on...
How to reduce the number of frequent itemsets effectively is a hot topic in data mining research. Clustering frequent itemsets is one solution to the problem. Since generators are lossless concise representations of all frequent itemsets, clustering generators is equivalent to clustering all frequent itemsets. This paper proposes a new algorithm for clustering frequent itemsets based on generators...
In order to identify business processes effectively, historical data, such as event log, can be used as a base to retrieve abstract process model. The result of process mining can provide necessary information to deploy process-aware information systems. Process structure patterns disclosing the relationship among activities is one of the most important aspects. To retrieve the process model comprehensively...
This paper proposes a self-organized genetic algorithm for document clustering based on semantic similarity measure. The traditional method to represent text is that the document is organized as a string of words, while the conceptual similarity is ignored. We take advantage of thesaurus-based ontology to overcome this problem. To investigate how ontology method could be used effectively in document...
A new algorithm of Web text clustering mining is presented, which is based on the Discovery Feature Sub-space Model (DFSSM). This algorithm includes the training stage of SOM and the clustering stage, which characterizes self-stability and powerful antinoise ability. It can distinguishes the most meaningful features from the Concept Space without the evaluation function. we have applied the algorithm...
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