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作者： Zhang, Jing Ye, Liuqi Business School of Hohai University Nanjing Jiangsu 210098 China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing 100872 China

ISBN: (纸本)9781424469291

knowledge management methods reflect ways to undertake knowledge management objectives and actions taken for implementation. However, little has been written on the topic. The paper summarizes main topics of knowledge management methods from literature, including research contents, management methods, main types, objects involved, study domains, perspectives, objectives and tasks, school and achieving channels, developing trends and knowledge management methodology and etc. © 2010 IEEE.

关键词： knowledge management

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The internet of things and personal privacy protection

The internet of things and personal privacy protection

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2010 International Conference of Logistics engineering and Management: Logistics for Sustained Economic Development - Infrastructure, Information, Integration, ICLEM 2010

作者： Zhang, Jing Ye, Liuqi Business School Hohai University Nanjing Jiangsu 210098 China Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing 100872 China

ISBN: (纸本)9780784411391

Protecting personal privacy and its right are a respect for the human rights, the necessary condition for healthy development of a democratic society and the important criteria of maintaining the basic dignity to be human. The internet of things with its ubiquitous data-aware and intelligent information processing capabilities, improves social efficiency and severe challenges for information security and privacy. In this environment, how to ensure information security and privacy are a major breakthrough in one of the obstacles and an important issue that must be addressed and resolved in the developing process of the internet of things. Thus, in the development of it, we should follow the basic principles of protecting personal privacy such as the entire management, legal compliance, security, adding information, balance and accountability, and establish such models of protecting personal privacy as laws, industry self-regulation and technology to fully protect the inviolability of personal privacy, and remove obstacles and barriers for the applications of the internet of things. © 2010 ASCE.

关键词： Logistics

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A support vector machine based method for credit risk assessment

A support vector machine based method for credit risk assess...

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International Workshop on Cloud Services-Platform Accelerating E-Business

作者： Xu, Wei Zhou, Shenghu Duan, Dongmei Chen, Yanhui Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China Ministry of Education Beijing 100872 China School of Information Renmin University of China Beijing 100872 China

ISBN: (纸本)9780769542270

The credit card industry has been growing rapidly in recent years, and credit risk assessment becomes critically important for financial companies. In this paper, a novel support vector machine (SVM) based ensemble model is proposed for credit risk assessment. In the proposed method, principles component analysis (PCA) is firstly employed for credit feature selection. Secondly, SVMs with different kernels are trained by using genetic algorithm (GA) to optimize the parameters, and the corresponding assessment results are obtained. Thirdly, all results produced by different SVMs are combined by several ensemble strategies. Finally, an optimal ensemble strategy is selected for credit scoring. For validation, two real world credit datasets are used to test the effectiveness and efficiency of our proposed method. The experiment results find that our proposed ensemble model outperforms commonly used credit scoring tools. The findings of the study reveal the support vector machine based ensemble method to be a promising alternative for credit scoring. © 2010 IEEE.

关键词： Support vector machines

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RETRACTED ARTICLE: System formulation of knowledge sharing and exchange in the organization

RETRACTED ARTICLE: System formulation of knowledge sharing a...

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ISBN: (纸本)9781424453269

knowledge resource is becoming the most important in an organization, Its exploring degree has direct influence on the core competitive power of the organization. System is also an integral part, the basis and protection for keeping an organization working well, thus the organization realizes its knowledge sharing and exchange and knowledge resource exploring by establishing the group learning system, regular meeting system, the knowledge report system and the knowledge publicity system. Then knowledge can be transmitted widely in the organization and generate knowledge contributions, innovations and promote the core competitive power. © 2010 IEEE.

关键词： knowledge management

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Capability description and discovery of Internetware entity

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Science China(Information Sciences) 2010年第4期53卷 685-703页

作者： WANG PuWei1*, JIN Zhi2,3* & LIU HongYan4 1key laboratory of data engineering and knowledge engineering of the ministry of education, Renmin University of China, Beijing 100872, China 2key laboratory of High Confidence Software Technologies of the ministry of education, Peking University, Beijing 100871, China 3Academy of Mathematics and System Sciences, Chinese Academy of Sciences, Beijing 100190, China 4Department of Management Science and engineering, Tsinghua University, Beijing 100084, China 1. Key Laboratory of Data Engineering and Knowledge Engineering of the Ministry of Education Renmin University of China Beijing 100872 China2. Key Laboratory of High Confidence Software Technologies of the Ministry of Education Peking University Beijing 100871 China3. Academy of Mathematics and System Sciences Chinese Academy of Sciences Beijing 100190 China4. Department of Management Science and Engineering Tsinghua University Beijing 100084 China

Internetware can be formed through aggregation of Internetware entities bottom-up to satisfy the user's requirements. In the process, capability description of Internetware entity plays an important role. This paper proposes a capability description of Internetware entity based on environment ontology. The environment ontology includes environment entities and possible interactions with the environment entities in a particular domain. Tree-like hierarchical state machines are also included in the ontology to describe domain life-cycle of the environment entities. On the basis of the ideas, the capability of Internetware entity is embodied by interacting with environment entities and the changes of the environment entities during the interactions. Finally, this paper describes the matchmaking between capability descriptions of Internetware entities to support the discovery of Internetware entity. An example of online education course is given to illustrate the ideas.

关键词： Internetware capability description domain environment ontology tree-like hierarchical state machine

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A fast two-stage algorithm for computing SimRank and its extensions

A fast two-stage algorithm for computing SimRank and its ext...

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1st International Workshop on Graph database, IWGD 2010, 1st International Workshop on Advanced Techniques on XML data Management, XMLDM 2010, 2nd International Workshop on WCMT 2010, Held in Conj. with WAIM 2010

作者： Jia, Xu Liu, Hongyan Zou, Li He, Jun Du, Xiaoyong Key Labs. of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China 100872 China Department of Management Science and Engineering Tsinghua University 100084 China

ISBN: (纸本)3642167195

Similarity estimation can be used in many applications such as recommender system, cluster analysis, information retrieval and link prediction. SimRank is a famous algorithm to measure objects' similarities based on link structure. We observe that if one node has no in-link, similarity score between this node and any of the others is always zero. Based on this observation, we propose a new algorithm, fast two-stage SimRank (F2S-SimRank), which can avoid storing unnecessary zeros and can accelerate the computation without accuracy loss. Under the circumstance of no accuracy loss, this algorithm uses less computation time and occupies less main memory. Experiments conducted on real and synthetic datasets demonstrate the effectiveness and efficiency of our F2S-SimRank. © 2010 Springer-Verlag.

关键词： Cluster analysis

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An integration management system for managing business continuity, records and knowledge

An integration management system for managing business conti...

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International Forum on Information Technology and Applications

作者： An, Xiaomi Chao, Lemen Ye, Liuqi Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing 100872 China Economic Management School Beijing Institute of Petrol-chemical Technology Beijing 102617 China

ISBN: (纸本)9780769541150

Developing an integration management system for business continuity, records and knowledge (IMS of BRK) is beneficial to the collaboration, optimization and innovation of business continuity management system (BCMS), records management system (RMS) and knowledge management system (KMS) for organization. Comprehensive research and development requirements along with a cogent framework, however, have not been proposed for integrating three of them, which were proposed independently. Based on situational analysis of cross boundaries integration feasibilities in terms of common understandings, general principles and best practice frameworks from relevant national and international standards, this paper proposes integration thinking to combine the advantages of the three paradigms to sustainable competitive advantages;supported by international best practices, the authors propose an integration route covering five levels of integration framework, two integration approaches and three integration controls for dynamic accumulation, sharing and exchange of evidence, memory and knowledge in digital world and global competition. © 2010 IEEE.

关键词： knowledge management

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Efficient common items extraction from multiple sorted lists

Efficient common items extraction from multiple sorted lists

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12th International Asia Pacific Web Conference, APWeb 2010

作者： Lu, Wei Rong, Chuitian Chen, Jinchuan Du, Xiaoyong Cheong Fung, Gabriel Pui Zhou, Xiaofang School of Information Renmin University of China China Key Labs of Data Engineering and Knowledge Engineering Ministry of Education China School of Computing Informatics Arizona State University United States School of ITEE University of Queensland Australia

ISBN: (纸本)9780769540122

Given a set of lists, where items of each list are sorted by the ascending order of their values, the objective of this paper is to figure out the common items that appear in all of the lists efficiently. This problem is sometimes known as common items extraction from sorted lists. To solve this problem, one common approach is to scan all items of all lists sequentially in parallel until one of the lists is exhausted. However, we observe that if the overlap of items across all lists is not high, such sequential access approach can be significantly improved. In this paper, we propose two algorithms, MergeSkip and MergeESkip, to solve this problem by taking the idea of skipping as many items of lists as possible. As a result, a large number of comparisons among items can be saved, and hence the efficiency can be improved. We conduct extensive analysis of our proposed algorithms on one real dataset and two synthetic datasets with different data distributions. We report all our findings in this paper. © 2010 IEEE.

关键词： Problem solving

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ParaCube: A scalable OLAP model based on distributed aggregate computing with sibling cubes

ParaCube: A scalable OLAP model based on distributed aggrega...

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12th International Asia Pacific Web Conference, APWeb 2010

作者： Zhang, Yansong Wang, Shan Huang, Wei Key Laboratory of the Ministry of Education for Data Engineering and Knowledge Engineering Beijing 100872 China School of Information Renmin University of China Beijing 100872 China Department of Computer Harbin Financial College Harbin Helongjiang 150030 China

ISBN: (纸本)9780769540122

The requirements of OLAP applications increase rapidly by dramatically increased data volume, users, query volume and query complexity. The requirement for shortening update period in data warehouse is another crucial factor for a scalable OLAP application. In this paper, we propose a scalable OLAP prototype to support the query processing with increasing data volume by distributing the whole fact tuples to multiple servers to construct a set of sibling cubes which can be merged together to obtain the whole cube. We employ a light weight distribution policy with fully duplicated dimension tables in each sibling server on the observation of very low proportion of space cost for dimension tables. OLAP query with distributed aggregate functions can be transformed into queries to be performed parallel in sibling servers. For non-distributed computing aggregate functions, such as median, the optimized median aggregate computing algorithm is proposed to reduce transmission volume between servers while computing the global median values. We also present a three-level framework in data warehouse to meet the requirement of shorter update period in "operational business intelligence". An asynchronous tunnel model is proposed to reduce update latency by pre-fetching updated tuples to OLAP processing server. Finally, we set up prototype system ParaCube to evaluate performance in SN (shared-nothing) system and multi-core platforms. © 2010 IEEE.

关键词： data warehouses

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Towards comprehensive integration management of business continuity, records and knowledge

Towards comprehensive integration management of business con...

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作者： An, Xiaomi Wang, Wang Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing 100872 China School of Information Resource Management Renmin University of China Beijing 100872 China

ISBN: (纸本)9788988678251

Many of management systems for business continuity, records and knowledge (BRK) are standalone. Connections and networks of business continuity management systems (BCMS), records management systems (RMS) and knowledge management systems (KMS) are expected to study for facing challenges from evidence-based collaborations in a networked working environment, in terms of control of documented information for business efficiency;guarantee of evidentiality and quality of documented information for organizational effectiveness;and sharing, protecting and increasing values of records as business and knowledge assets for knowledge economy. Based on review of ideas of integration management thinking, best practice frameworks of business continuity management, records management and knowledge management, management models of BCMS, RMS and KMS, an architecture framework towards comprehensive integration management of BRK is proposed by vertical integration design and crosswise integration operations. Case studies demonstrate that such architecture framework has implications to enhance controls of efficiency, effectiveness, and economy of organizational resources and assets adaptable to complex global competition;to improve quality assurance of documented information for supporting evidence-based governance adaptable to dynamic changing of information and communication technologies;to consistent accumulation, sharing and exchanging evidence, memory and knowledge along e-business processes to promote collaboration, optimization and innovation of BCMS, RMS and KMS.

关键词： knowledge management

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