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AN IMPROVED BICLUSTERING ALGORITHM AND ITS APPLICATION TO GENE EXPRESSION SPECTRUM ANALYSIS

Genomics, Proteomics & Bioinformatics 2005年第3期3卷 189-193页

作者： Hua Qu Liu-Pu Wang Yan-Chun Liang Chun-Guo Wu College of Software Key Laboratory of Symbol Computation and Knowledge Engineering of the Ministry of Education Jilin University Changchun 130012 China Guangzhou Institute of China Telecom Guangzhou 510630 China College of Computer Science and Technology Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Jilin University Changchun 130012 China Key Laboratory of Information Science and Engineering of the Ministry of Railway/Key Laboratory of Advanced Information Science and Network Technology of Beijing Beijing Jiaotong University Beijing 100044 China.

Cheng and Church algorithm is an important approach in biclustering algorithms. In this paper, the process of the extended space in the second stage of Cheng and Church algorithm is improved and the selections of two important parameters are discussed. The results of the improved algorithm used in the gene expression spectrum analysis show that, compared with Cheng and Church algorithm, the quality of clustering results is enhanced obviously, the mining expression models are better, and the data possess a strong consistency with fluctuation on the condition while the computational time does not increase significantly.

关键词： biclustering algorithm gene expression pedigree analysis Cheng and Church algorithm

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ID-based ring authenticated encryption

ID-based ring authenticated encryption

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Tianjie Cao Dongdai Lin Rui Xue Graduate School of Chinese Academy of Sciences Beijing China School of Computer Science and Technology China University of Mining and Technology Xuzhou China State Key Laboratory of Information Security of Institute of Software Chinese Academy and Sciences Beijing China

ISBN: (纸本)0769522491

Ring authenticated encryption has the following security requirements: semantic-security, recipient-designation, verification-dependence, verification-convertibility, recipient-ambiguity, recipient-verifiability, signer-ambiguity and signer-verifiability. Ring authenticated encryption can be used to enhance user privacy. In this paper, based on Boneh and Frankliny's ID-based encryption scheme and Zhang and Kim's ID-based ring signature scheme, we propose an ID-based ring authenticated encryption scheme. We also show that the proposed scheme satisfies the correctness property and all security requirements.

关键词： Identity-based encryption Cryptography Public key Information security Law Legal factors Privacy Laboratories Computer science Computer security

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A Perspective of Fusing Ontology and Metamodeling Architecture in Interconnection Environment

A Perspective of Fusing Ontology and Metamodeling Architectu...

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Jin Liu Keqing He Bing Li Fei He The State Key Laboratory of Software Engineering (SKLSE) Wuhan University of China Wuhan China Institute of Computing Technology Chinese Academy and Sciences Beijing China Graduate School of Science and Engineering Waseda University Tokyo Japan

To achieve interconnection environment, the proposed approach consists of MMFI for ontology and reference ontology for normalizing semantic space, ontology-induced schema mapping for transition from semantic interconnection to schema mapping, MMFI (ISO 19763) for normalizing interconnection environment, and a semantic matcher with schema mapping broker for dynamically clustering services or resources. In this case, while ontology helps identifying content of structural elements, a metamodeling architecture provides requisite structures for ontology representation. Our approach promotes fusing of ontology and metamodeling architecture and enhances interoperability in interconnection environment. This approach has been implemented in WHCRP prototype as a potential demonstration for MMFI. WHCRP aims to establish a R&R federation for sharing software components. Theoretical analysis and the prototype indicate the effectiveness of this approach.

关键词： Ontologies Metamodeling LAN interconnection Computer architecture Prototypes software prototyping software engineering Space technology ISO standards Internet

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An efficient ID-based deniable authentication protocol from pairings

An efficient ID-based deniable authentication protocol from ...

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International Conference on Advanced Information Networking and Applications (AINA)

作者： Tianjie Cao Dongdai Lin Rui Xue Graduate School of Chinese Academy of Sciences Beijing P.R. China School of Computer Science and Technology China University of Mining and Technology Xuzhou P.R. China State Key Laboratory of Information Security of Institute of Software Chinese Academy of Sciences Beijing P.R. China

ISBN: (纸本)0769522491

Deniability is a privacy property that ensures protocol participants can later deny taking part in a particular protocol run. A deniable authentication protocol enables an intended receiver to identify the source of a given message, but not prove the identity of the sender to a third party even if the intended receiver is willing to reveal his secret-key. In this paper, we present an efficient ID-based deniable authentication protocol from pairings. The proposed protocol satisfies the correctness, authentication and deniability properties.

关键词： Authentication Protocols Public key Privacy Voltage control Digital signatures Identity-based encryption Laboratories Information security Computer science

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Relational peculiarity oriented data mining

Relational peculiarity oriented data mining

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Proceedings - Fourth IEEE International Conference on Data Mining, ICDM 2004

作者： Zhong, Ning Liu, Chunnian Yao, Y.Y. Ohshima, Muneaki Huang, Mingxin Huang, Jiajin Department of Information Engineering Maebashi Institute of Technology 460-1 Kamisadori-Cho Maebashi 371-0816 Japan Computer Science College Beijing University of Technology Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing 100022 China Department of Computer Science University of Regina Regina Sask. S4S 0A2 Canada

ISBN: (纸本)0769521428

Peculiarity rules are a new type of interesting rules which can be discovered by searching the relevance among peculiar data. A main task of mining peculiarity rules is the identification of peculiarity. Traditional methods of finding peculiar data are attribute-based approaches. This paper extends peculiarity oriented mining to relational peculiarity oriented mining. Peculiar data are identified on record level, and peculiar rules are mined and explained in a relational mining framework. The results from preliminary experiments show that relational peculiarity oriented mining is very effective. © 2004 IEEE.

关键词： Data mining

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TMS: Targeted Marketing System Based on Market Value Functions 04

TMS: Targeted Marketing System Based on Market Value Functio...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Jiajin Huang Ning Zhong Chunnian Liu Y.Y. Yao Dejun Qiu Chuangxin Ou College of Computer Science and Technology Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi Japan Department of Computer Science University of Regina Regina SAS Canada

ISBN: (纸本)9780769521008

TMS (Targeted Marketing System) is an integrated system and toolkit for profit-driven and cost-effective marketing. The system consists of three components: a Web-based user interface, a market value inference engine, and a presentation and evaluation module. It supports marketing decision making for a company or an organization by combining results from information retrieval, data mining, information theory, and utility theory.

关键词： Electronic mail User interfaces Engines Data mining Computer science Decision making Information retrieval Information theory Utility theory Costs

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Relational peculiarity oriented data mining

Relational peculiarity oriented data mining

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IEEE International Conference on Data Mining (ICDM)

作者： Ning Zhong Chunnian Liu Y.Y. Yao M. Ohshima Mingxin Huang Jiajin Huang Department of Information Engineering Maebashi Institute of Technology Maebashi Japan The Computer Science College Multimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina Regina SAS Canada

关键词： Data mining Relational databases Computer science Logic programming Learning systems Data engineering Educational institutions Laboratories Brain modeling Image databases

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Attribute reduction of rough sets in mining market value functions

Attribute reduction of rough sets in mining market value fun...

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IEEE/WIC International Conference on Web Intelligence, WI 2003

作者： Huang, Jiajin Liu, Chunnian Ou, Chuangxin Yao, Y.Y. Zhong, N. Mutimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina ReginaSKS4S 0A2 Canada Department of Information Engineering Macbashi Institute of Technology Maebashi-City371-0816 Japan

ISBN: (纸本)0769519326

The linear model of market value functions is a new method for direct marketing. Just like other methods in direct marketing, attribute reduction is very important to deal with large databases. We apply the algorithm of attribute reduction, which is based on the combination of rough set theory with the boosting algorithm, to the linear model of market value functions. Experimental results compared with the ELSA/ANN model show that the proposed algorithms can be used effectively in the linear model of market value functions. © 2003 IEEE.

关键词： Data mining

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Online recommendation based on customer shopping model in e-commerce 03

Online recommendation based on customer shopping model in e-...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Junzhong Ji Zhiqiang Sha Chunnian Liu Ning Zhong College of Computer Science and Technology Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology Beijing University of Technology Beijing China Department of Information Engineering Maebashi Institute of Technology Maebashi Japan

ISBN: (纸本)0769519326

As e-commerce developing rapidly, it is becoming a research focus about how to capture or find customer's behavior patterns and realize commerce intelligence by use of Web mining technology. Recommendation system in electronic commerce is one of the successful applications that are based on such mechanism. We present a new framework in recommendation system by finding customer model from business data. This framework formalizes the recommending process as knowledge representation of the customer shopping information and uncertainty knowledge inference process. In our approach, we firstly build a customer model based on Bayesian network by learning from customer shopping history data, then we present a recommendation algorithm based on probability inference in combination with the last shopping action of the customer, which can effectively and in real time generate a recommendation set of commodity.

关键词： Data mining Business Knowledge representation Collaboration Web mining Uncertainty Bayesian methods History Inference algorithms Filtering

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Attribute reduction of rough sets in mining market value functions 03

Attribute reduction of rough sets in mining market value fun...

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IEEE WIC ACM International Conference on Web Intelligence (WI)

作者： Jiajin Huang Chunnian Liu Chuangxin Ou Y.Y. Yao N. Zhong Mutimedia and Intelligent Software Technology Beijing Municipal Key Laboratory Beijing University of Technology Beijing China Department of Computer Science University of Regina Regina SAS Canada Department of Information Engineering Macbashi Institute of Technology Maebashi Japan

ISBN: (纸本)9780769519326

关键词： Rough sets Set theory Databases Entropy Laboratories Computer science Boosting Internet Data mining Predictive models

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