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International Conference on Fuzzy Systems and knowledge Discovery (FSKD)

作者： Zhili Pei Xiaohu Shi Maurizio Marchese Yanchun Liang College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun China College of Mathematics & Computer Science National University of Inner Mongolia Tongliao China Department of Information and Communication Technology University of Trento Povo TN USA

The improvement of text categorization by statistical methods can be performed from two main directions, namely the feature selection and the evaluation of characteristic weights. In this paper, we propose an enhanced text categorization method based on a modified mutual information algorithm and evaluation algorithm of characteristic weights which improves both aspects. The proposed method is applied to the benchmark test set Reuters-21578 Top10 to examine its effectiveness. Numerical results show that the precision, the recall and the value of F1 of the proposed method are all superior to those of existing conventional methods.

关键词： Text categorization Mutual information Frequency shift keying Frequency estimation Computer science Statistical analysis Testing educational institutions Communications technology Performance evaluation

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2DCMA： An Effective Maintenance Algorithm of Materialized Views in Peer data Management Systems

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Journal of Computer Science & Technology 2006年第4期21卷 503-512页

作者：覃飙王珊杜小勇 School of Information Renmin University of China Beijing 100872 P.R. China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Beijing 100872 P.R. China

Update management is very important for data integration systems. So update management in peer data management systems （PDMSs） is a hot research area. This paper researches on view maintenance in PDMSs. First, the definition of view is extended and the peer view, local view and global view are proposed according to the requirements of applications. There are two main factors to influence materialized views in PDMSs. One is that schema mappings between peers are changed, and the other is that peers update their data. Based on the requirements, this paper proposes an algorithm called 2DCMA, which includes two sub-algorithms： data and definition consistency maintenance algorithm% to effectively maintain views. For data consistency maintenance, Mork＇s rules are extended for governing the use of updategrams and boosters. The new rule system can be used to optimize the execution plan. And are extended for the data consistency maintenance algorithm is based on the new rule system. Furthermore, an ECA rule is adopted for definition consistency maintenance. Finally, extensive simulation experiments are conducted in SPDMS. The simulation results show that the 2DCMA algorithm has better performance than that of Mork＇s when maintaining data consistency. And the 2DCMA algorithm has better performance than that of centralized view maintenance algorithm when maintaining definition consistency.

关键词： view maintenance peer data management system schema mapping ECA rule

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Potential inundated coastal area estimation in Shanghai with multi-platform SAR and altimetry data 14

Potential inundated coastal area estimation in Shanghai with...

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Remote Sensing and Modeling of Ecosystems for Sustainability XIV 2017

作者： Ma, Guanyu Yang, Tianliang Zhao, Qing Kubanek, Julia Pepe, Antonio Dong, Hongbin Sun, Zhibin Key Laboratory of Geographical Information Science Ministry of Education East China Normal University Shanghai200062 China Laboratory for Environmental Remote Sensing and Data Assimilation East China Normal University Shanghai200062 China ECNU Joint Research Institute for New Energy and the Environment East China Normal University Shanghai200062 China School of Geographic Sciences East China Normal University Shanghai200241 China Key Laboratory of Land Subsidence Monitoring and Prevention Ministry of Land and Resources Shanghai200072 China Shanghai Institute of Geological Survey Shanghai200072 China Shanghai Engineering Research Center of Land Subsidence Shanghai200072 China Dept. of Earth and Planetary Sciences McGill University MontreálQCH3AE08 Canada Institute for Electromagnetic Sensing of the Environment Italian National Research Council via Diocleziano 328 Napoli80124 Italy Shanghai Shixi High School Shanghai200040 China Natural Resource Ecology Laboratory Colorado State University Fort CollinsCO80523 United States

ISBN: (纸本)9781510612679

As global warming problem is becoming serious in recent decades, the global sea level is continuously rising. This will cause damages to the coastal deltas with the characteristics of low-lying land, dense population, and developed economy. Continuously reclamation costal intertidal and wetland areas are making Shanghai, the mega city of Yangtze River Delta, more vulnerable to sea level rise. In this paper, we investigate the land subsidence temporal evolution of patterns and processes on a stretch of muddy coast located between the Yangtze River Estuary and Hangzou Bay with differential synthetic aperture radar interferometry (DInSAR) analyses. By exploiting a set of 31 SAR images acquired by the ENVISAT/ASAR from February 2007 to May 2010 and a set of 48 SAR images acquired by the COSMO-SkyMed (CSK) sensors from December 2013 to March 2016, coherent point targets as long as land subsidence velocity maps and time series are identified by using the Small Baseline Subset (SBAS) algorithm. With the DInSAR constrained land subsidence model, we predict the land subsidence trend and the expected cumulative subsidence in 2020, 2025 and 2030. Meanwhile, we used altimetrydata and densely distributed in the coastal region are identified (EEMD) algorithm to obtain the average sea level rise rate in the East China Sea. With the land subsidence predictions, sea level rise predictions, and high-precision digital elevation model (DEM), we analyze the combined risk of land subsidence and sea level rise on the coastal areas of Shanghai. The potential inundated areas are mapped under different scenarios. © 2017 SPIE.

关键词： Synthetic aperture radar

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Force-Based Incremental Algorithm for Mining Community Structure in Dynamic Network

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Journal of Computer Science & Technology 2006年第3期21卷 393-400页

作者：杨博刘大有 College of Computer Science and Technology & Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 P.R. China

Community structure is an important property of network. Being able to identify communities can provide invaluable help in exploiting and understanding both social and non-social networks. Several algorithms have been developed up till now. However, all these algorithms can work well only with small or moderate networks with vertexes of order 104. Besides, all the existing algorithms are off-line and cannot work well with highly dynamic networks such as web, in which web pages are updated frequently. When an already clustered network is updated, the entire network including original and incremental parts has to be recalculated, even though only slight changes are involved. To address this problem, an incremental algorithm is proposed, which allows for mining community structure in large-scale and dynamic networks. Based on the community structure detected previously, the algorithm takes little time to reclassify the entire network including both the original and incremental parts. Furthermore, the algorithm is faster than most of the existing algorithms such as Girvan and Newman＇s algorithm and its improved versions. Also, the algorithm can help to visualize these community structures in network and provide a new approach to research on the evolving process of dynamic networks.

关键词： incremental algorithm community structure dynamic network

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Research of mobile IPv6 application based on diameter protocol

Research of mobile IPv6 application based on diameter protoc...

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First International Multi- Symposiums on Computer and Computational Sciences, IMSCCS'06

作者： Da, Wei Yanheng, Liu Xuegang, Yu Xiaodong, Li Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education China

ISBN: (纸本)0769525814

The Diameter protocol is recommended by IETF as AAA (Authentication, Authorization and Accounting) protocol criterion for the next generation network, Because the IPv6 protocol will be widely applied in the intending all-IP network, mobile IPv6 application based on Diameter protocol will play more important role in authentication, authorization and accounting. In this paper, the implementation of mobile node's authentication and authorization is presented with PANA (Protocol for carrying Authentication for Network Access) protocol. It is based on Diameter protocol for the application expansion of mobile IPv6, which provides the supports to the basic AAA process of mobile IPv6 nodes and dynamic Home Agent distribution in the visited network and the secret key distribution. Finally, the correctness of this application expansion is testified with developing the design of protocol based on OpenDiameter. © 2006 IEEE.

关键词： Mobile telecommunication systems

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Extracting initial and reliable negative documents to enhance classification performance 1

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PAKDD 2006 International Workshop on knowledge Discovery in Life Science Literature, KDLL 2006

作者： Wang, Hui Zuo, Wanli Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China

ISBN: (数字)9783540328100

ISBN: (纸本)3540328092

Most existing text classification work assumes that training data are completely labeled. In real life, some information retrieval problems can only be described as learning a binary classifier from a set of incompletely labeled examples, where a small set of labeled positive examples and a very large set of unlabeled ones are provided. In this case, all of the traditional text classification methods can't work properly. In this paper, we propose a method called Weighted Voting Classifier, which is an improved 1-DNF algorithm. Experimental results on the Reuters-21578 set show that our algorithm Weighting Voting Classifier outperforms PEBL and one-class SVM in terms of F measure. Weighting Voting Classifier can achieve high F score when comparing with PEBL and one-class SVM. Furthermore, the reduction of iterations is 2.26 when comparing the method of PEBL with ours. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Information retrieval

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Spatial reasoning based spatial data mining for precision agriculture

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APWeb 2006 International Workshops: XRA, IWSN, MEGA, and ICSE

作者： Wang, Sheng-Sheng Liu, Da-You Wang, Xin-Ying Liu, Jie Key Laboratory of Symbolic Computing and Knowledge Engineering of Jilin University Ministry of Education 130012 Changchun China

ISBN: (纸本)3540311580

knowledge discovery in spatial databases represents a particular case of discovery, allowing the discovery of relationships that exist between spatial and non-spatial data. Spatial reasoning ought to play a very important role in spatial data mining, but the research combined SR and SDM are very few. This paper describes the conception and implementation of SRSDM, the tool for data mining in spatial databases based on spatial reasoning method. Most spatial data mining systems only support topological relation, nearly all previous GIS and AI researches focused on single spatial aspect. Those were quite inadequate for practical applications. We propose a new spatial knowledge representation which integrates topology, direction, distance and size relations. SRSDM includes three parts: extracting spatial relations, frameworks for traditional or new data mining algorithms. © Springer-Verlag Berlin Heidelberg 2006.

关键词： data mining

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Design for network camera based on DSP

Design for network camera based on DSP

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2006 International Conference on Hybrid Information Technology, ICHIT 2006

作者： Zhezhou, Yu Yuchen, Xie Congying, Lv Chunguang, Zhou Faner, Meng Lei, Liu Key Laboratory of Symbolic Computation and Knowledge Engineering Jilin University Ministry of Education Changchun 130012 China

ISBN: (纸本)0769526748

The hardware design of the DSP-based network camera is described in this paper which includes the implementation of CCD camera, DSP, Flash, SDRAM, CPLD, and Ethernet. The program of JPEG2000has been tested on the designed board and the result turns out to be good. It'll be implemented as a network camera with real-time video compression and transmission which can be connected to the Ethernet. © 2006 IEEE.

关键词： Cameras

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Combining greedy method and genetic algorithm to identify transcription factor binding sites

Combining greedy method and genetic algorithm to identify tr...

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6th International Conference on Hybrid Intelligent Systems and 4th Conference on Neuro-Computing and Evolving Intelligence, HIS-NCEI 2006

作者： Wanyu, Wang Xiaoyu, Chang Chunguang, Zhou Key Laboratory of Symbol Computation and Knowledge Engineering Juin University Ministry of Education Changchun 130012 China

ISBN: (纸本)0769526624

Identification of Transcription Factor Binding Sites (TFBS) from the upstream region of genes remains a highly important and unsolved problem particularly in higher eukaryotic genomes. In this paper, we propose a novel approach to identify transcription factor binding sites. This approach combines greedy method and genetic algorithm (CGGA) to search conserved segment in the given sequence set. A new greedy method which can efficiently search a local optimal result is proposed. In order to solve the high complexity of this algorithm, we also give an effective improvement for this method. Then, we describe how to combine genetic algorithm with this greedy method to find the more optimal results. Greedy method is combined to the fitness function of the genetic algorithm. We apply this approach on two different TFBS sets and the results show that it can find correct result both effective and efficient, and for CRP binding sites, it get a more accurate result than Gibbs Sampler, AlignACE and MDGA. © 2006 IEEE.

关键词： Transcription factors

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Graph-based fast image segmentation

Graph-based fast image segmentation

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Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition, SSPR 2006 and SPR 2006

作者： Han, Dongfeng Li, Wenhui Lu, Xiaosuo Li, N. Wang, Yi Key Laboratory of Symbol Computation and Knowledge Engineering Ministry of Education Jilin University Changchun 130012 China

ISBN: (纸本)3540372369

In this paper, we describe a fast semi-automatic segmentation algorithm. A nodes aggregation method is proposed for improving the running time and a Graph-Cuts method is used to model the segmentation problem. The whole process is interactive. Once the users specify the interest regions by drawing a few lines, the segmentation process is reliably computed automatically no additional users' efforts are required. It is convenient and efficient in practical applications. Experiments are given and outputs are encouraging. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Image segmentation

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