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The study of world city networks becomes one of the hottest research areas. Mining the important nodes has been important research questions in network evaluation of world city applications. In this paper, we firstly summarized the characteristics of world city network and evaluated their centrality and power of control. Then, the node importance evaluation methods based on network topologies were...
In order to improve the data stream clustering accuracy and effectiveness, the paper proposes an efficient data stream clustering algorithm based on affinity propagation and density methods (APDenStream). The algorithm adopts online/offline two stage process framework, by using micro-cluster decay density to reflect the evolution information and using online dynamic delete mechanism to maintain micro-cluster,...
Recently, a large amount of work has been done in XML data mining. However, most of the existing work focuses on the snapshot XML data, while XML data is dynamic in practical application. In order to mine knowledge hidden in the frozen structures (FS) which are not changed or very little changed during the historical changing process of an XML document, we present a method for clustering XML documents...
This paper improved the density-based clustering algorithm of data streams and proposed Double Detection Time Strategy The strategy maintained and deleted clusters dynamically. In addition, it preserved potential outlier points with the purpose of high cluster quality and efficiency. Theory and practice show that the improved algorithm possesses good practicality and effectiveness and achieves a higher...
For mining new pattern from evolving data streams, most algorithms are inherited from DenStream framework which is realized via a sliding window. So at the early stage of a pattern emerges, its knowledge points can be easily mistaken as outliers and dropped. In most cases, these points can be ignored, but in some special applications which need to quickly and precisely master the emergence rule of...
Distinguishing potential new cluster data from outliers is a main problem in mining new pattern from evolving data streams. Meanwhile, all the clustering algorithms inherited from CluStream framework are distribution-based learning which are realized via a sliding window, so this problem becomes more obvious. This paper proposes a three-step clustering algorithm, rDenStream, based on DenStream, which...
The paper uses cumulate percent method, ridit value method and ??very good day?? method, to analyzes data of atmosphere visibility in Guilin city from 1951 to 2006 year. The result shows that atmosphere visibility ascends in 1950s, reduces since 1960 year, and reduce speed is slower from 1981 to 2006 year than that from 1960 to 1979 year. The paper also concludes that as the observe criterion of atmosphere...
To solve the sequencing problem in automobile assembly shops, the colour batch size constraints of paint shop and the spacing constraints of the assembly shop are explicitly discussed. The spacing constraints are proved to be a sufficient condition for the capacity constraints. On the basis of those, the spacing constraint inequalities with utility workers are presented. An integer programming model...
Multi-focus fusion is an important technique to integrate focal information from a set of input registered images. In this effort, a novel image fusion algorithm based on multi-scheme is presented. Given an over-complete Gabor dictionary, through matching pursuit signal decomposition algorithm, each source image can be described by sparse combinations of these atoms. Then the coefficients of the fused...
Batch adsorption experiments were carried out for the removal of aniline from aqueous solutions using beta-cyclodextrin polymer (beta-CDP). Studies concerning the effects of contact time and initial aniline concentration were presented and discussed. Results of batch experiments showed that this adsorbent exhibited some sorption capacities toward aniline. It was found that kinetic followed a pseudo...
While there is an increasing need to share medical information for public health research, such data sharing must preserve patient privacy without disclosing any identifiable information. A considerable amount of research in data privacy community has been devoted to formalizing the notion of identifiability and developing techniques for anonymization but are focused exclusively on structured data...
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