Journal of Frontiers of Computer Science and Technology

	577	WU Junjie

		Pre-promotion with Arbitrary Strides in Non-uniform Caches*
		Along with the development of microelectronics, the researches of on-chip non-uniform caches become more and more popular. A technique which can recognize data with the arbitrary stride access patterns and pre-promote them to cache banks adjacent with pro...
		FCST 4 (7): 577-588 [Abstract ] ( 57 ) [HTML 0KB] [PDF 301KB ]( 53 )

	589	WANG Xiaoguang

		Web Page Quality Estimation with User Behavior*
		Page quality estimation in the search engine has a crucial role, and the traditional method is based on hyperlink structure analysis. Because of the complexity of the current Web environment, the traditional method cannot work well. To solve this, user be...
		FCST 4 (7): 589-598 [Abstract ] ( 59 ) [HTML 0KB] [PDF 235KB ]( 51 )

	599	LIU Wei and XIAO Jianguo

		A Duplicate Web Entity Identification Approach Based on Iterative Training*
		A large number of Web data sources that can be accessed online make users convenient to obtain their desired information. As the necessary step in Web data integration, the duplicate Web entities with various presentations should be identified accurately ...
		FCST 4 (7): 599-607 [Abstract ] ( 50 ) [HTML 0KB] [PDF 189KB ]( 40 )

	608	HAN Jin and XIE Junyuan

		Application Research of Inject Attack Sequence Searching Algorithm for Secu-rity Protocol Verification*
		It is concluded that the inject attack is the necessary method for D-Y attacker to get its aim. Based on the analysis of the inject attack sequence, an inject attack searching algorithm is presented, and a new security protocol verification approach, whic...
		FCST 4 (7): 608-616 [Abstract ] ( 51 ) [HTML 0KB] [PDF 147KB ]( 41 )

	617	ZHAO Liang, CHEN Luo and JING Ning

		Continuous Range Queries for Moving Objects in Road Networks*
		To solve the problem of continuous range queries for moving objects in road networks, the network distance is adopted as the metric. First, a data storage model is designed for the road networks, the moving objects and the queries in main memory. Next, ba...
		FCST 4 (7): 617-628 [Abstract ] ( 46 ) [HTML 0KB] [PDF 330KB ]( 44 )

	629	WU Xia and ZHANG Daoqiang

		Graph Kernel Based Semi-Supervised Dimensionality Reduction Method*
		Graph based data representation and analysis have received more and more attention in machine learning community. Most previous studies focus on designing an appropriate graph kernel which measures the similarity rela- tionship between graph data. Once th...
		FCST 4 (7): 629-636 [Abstract ] ( 45 ) [HTML 0KB] [PDF 237KB ]( 47 )

	637	WANG Haiyan

		Research on Backward Trust Chain Discovery Algorithms in Open Network Environment*
		Trust chain discovery algorithm is one of the most crucial components in trust management. However, existing trust chain discovery algorithms do not concern the validity of credentials nor do they divide the trustworthiness of entities to different degree...
		FCST 4 (7): 637-645 [Abstract ] ( 51 ) [HTML 0KB] [PDF 201KB ]( 47 )

	646	HE Wenhui and LI Fanzhang

		Research on Lie Group Deep Structure Learning Algorithm*
		For the complexity of data and the deep relationship of semantic, a Lie Group deep structure learning algorithm is proposed. These mainly include deep structure analysis method based on the manifold, semi-supervised learning algorithm based on GL(n) and p...
		FCST 4 (7): 646-653 [Abstract ] ( 47 ) [HTML 0KB] [PDF 384KB ]( 47 )

	654	JIANG Lin, TAN Xiaoyang and LIU Jun

		Sparse Low Rank Bilinear Discriminative Model and its Application*
		“High dimensionality and small size samples” is widely encountered in many real world machine learning applications. Low rank approximation to parametric matrix has recently been proven to be an effective method to control the complexity of models. Most...
		FCST 4 (7): 654-661 [Abstract ] ( 50 ) [HTML 0KB] [PDF 247KB ]( 48 )

	662	YAN Guanghui, DONG Xiaohui, LIU Yun, HE Shaoling and MA Zhicheng

		Self-Adaptive Fractal Technique on Detecting Cluster Evolution*
		Stream data can often show important changes in trends over time. In such cases, it is useful to understand, visualize and diagnose the evolution of these trends. When the data streams are fast and continuous, it becomes important to analyze and predict t...
		FCST 4 (7): 662-672 [Abstract ] ( 47 ) [HTML 0KB] [PDF 355KB ]( 50 )

Journal of Frontiers of
Computer Science and
Technology
(Started in 2007 Bimonthly)

Superintended by
Ministry of Industry and Information of PRC
Sponsored by
North China Institute of Computing Technology
President of Council：
LIU Aimin
Proprieter： TAN Jihong
Editor-in-Chief： HE Xingui
Chief Editor： JU Yulan
CN 11-5602/TP
ISSN 1673-9418
CODEN JKYTA8
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