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Assessing the influence probability between objects: A random walker approach

Assessing the influence probability between objects: A rando...

引用

IEEE Symposium on Computational Intelligence and data Mining (CIDM)

作者： Pei Li Zhixu Li Jun He Xiaoyong Du Hongyan Liu Key Laboratories of Data Engineering and Knowledge Engineering MOE China & School of Information Renmin University of China Beijing China Department of Management Science and Engineering Tsinghua University Beijing China

Influence between objects needs to be assessed in many applications. Lots of measures have been proposed, but a domain-independent method is still expected. In this paper, we give a probabilistic definition of influence based on the random walker model on graphs. Two approaches, linear systems method and Basic InfRank algorithm, are shown and return equal results, but Basic InfRank is more efficient by iterative computation. Two variants on bipartite graphs and star graphs are discussed. Experiments show InfRank algorithms have good accuracy, fast convergent rate and high performance.

关键词： data engineering knowledge engineering Iterative algorithms Attenuation measurement Helium knowledge management engineering management Linear systems Iterative methods Bipartite graph

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The Electronic Records Management in E-government Strategy: Case Studies and the Implications

The Electronic Records Management in E-government Strategy: ...

引用

International Conference on Networking and Digital Society, ICNDS

作者： Xiaomi An Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing China

Electronic records management (ERM) is fundamental to good governance, business efficiency and effectiveness of e-government in networking and digital society. However, government authorities in China has faced many challenges in managing electronic records. A study of ERM in e-government strategy in other countries would be significant to support development of ERM in Chinese e-government strategy. As little is known from literature on the status of electronic records management in e-government strategy, this paper selects U.S, New Zealand and UK for case study by means of collecting and analyzing publications, laws, regulations and policies relevant to both electronic records management and e-government strategy. The author first analyzes status of ERM in e-government strategy and then discusses models and driving forces of their existences. The result of the study revealed that electronic records are managed as national assets, resources and trusted information in the e-government strategy. Driven by core business of e-government in different country, there are different approaches to ERM in e-government strategy. The implications of the study is that, to position ERM in e-government strategy, it is significant to provide a strategic approach to ERM for shared agenda by both government authorities and records management professionals. The findings intended to be of use to both the effective e-government strategy and good ERM for dynamic, interactive and proactive citizen-centered services across domains and time dimensions.

关键词： Electronic government Conference management knowledge management engineering management Law data engineering knowledge engineering Asset management Resource management Sustainable development

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Advances in Web and Network Technologies and Information Management 2009

引用

丛书名： Lecture Notes in Computer Science

2009年

作者： Lei Chen Chengfei Liu Xiao Zhang Shan Wang Darijus Strasunskas Stein L. Tomassen Jinghai Rao Wen-Syan Li K. Selçuk Candan Dickson K. W. Chiu Yi Zhuang

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Extracting Structured data from Ajax Site

Extracting Structured Data from Ajax Site

引用

International Workshop on database Technology and Applications

作者： Tian Xia Key Laboratory of Data Engineering and Knowledge Engineering School of Information Resource Management Renmin University of China Beijing China

Ajax is an important approach for improving rich interactivity between Web server and end users during Web 2.0 eras. At the same time, the structured data in AJAX Web pages can not be extracted easily due to its asynchronous loading. In this paper, we propose a technique for extracting the structured data from the AJAX based Web pages. Firstly, an AjaxFetcher component is created to fetch the dynamic page content by using an embedded browser. Secondly, two different strategies are used to extract the structured data from the obtained page contents. Especially for the page that contains multi-records, an automatic approach to determine each possible record is proposed. Experimental results show that fetching Ajax pages and extracting the structured data from them is feasible.

关键词： data mining Web pages databases Uniform resource locators laboratories data engineering knowledge engineering Information resources Information management knowledge management

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Operating systems support for process dynamic integrity measurement

Operating systems support for process dynamic integrity meas...

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IEEE Youth Conference on Information, Computing and Telecommunication, YC-ICT

作者： Chenglong Wei Shaohua Song Wen Hua Pan Bian School of Information Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education Renmin University of China Beijing China

Facing limitations of existing systems for process integrity measurement, we put forward a method with its prototype system PDIMS to measure process runtime integrity. Based on structure of process and format of executable file, PDIMS anatomizes the codepage layout of runtime process. Combining OS mechanisms and modern CPU's support for code execution, PDIMS catches and measures code page in the kernel when it executes. PDIMS depends on CPU's non-executable bit to detect code execution and on the binary format of executables of the process as criterion to verify code modifications in kernel. PDIMS provides trustworthy information about whether a running process is modified. PDIMS introduces less than 4% overhead to OS.

关键词： Operating systems Kernel Modems Computer security Runtime Protection databases knowledge engineering Prototypes Computer architecture

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Selectivity Estimation of Correlated Properties in RDF data for SPARQL Query Optimization

Selectivity Estimation of Correlated Properties in RDF Data ...

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Fifth International Conference on Semantics,knowledge and Grid(第五届语义、知识与网格国际会议 SKG 2009)

作者： Bin Lv Xiaoyong Du Yan Wang Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education School of Information Renmin University of China Beijing 100872 China

Nowadays mainstream RDF Repository Systems are based on RDBMS. The SPARQL query engine translates a SPARQL query into a SQL one, and then the RDBMS executes the SQL query. However the RDBMS optimizers, which usually assume that columns are statistically independent, often underestimate the selectivity of conjunctive predicates and choose a bad query execution plan. It is important for query optimizers to detect correlations among properties. We propose a way of computing property correlations based on ontology itself in order to improve the execution performance of the SQL translated from SPARQL statement queries.

关键词： Ontology SPARQL SQL Property Correlation Query optimization

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Ontology-based Categorization of Web Search Results Using YAGO

Ontology-based Categorization of Web Search Results Using YA...

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The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

作者： Anjian Ren Xiaoyong Du Puwei Wang Key Laboratory of Data Engineering and Knowledge Engineering Ministry of Education China School of Information Renmin University of China Beijing 100782 China

One of the major limitations of current search engines is that users could not quickly locate what they want if the input query is too general. Some existing techniques try to cluster web search results into groups so as to user's quick browsing. In this paper, we present a new approach to categorize the web search results by using YAGO ontology. It utilizes the YAGO ontology to automatically generate categories for the user's specific query and classify the search results into appropriate categories. Our experimental results indicate that our method is feasible and effectiveness.

关键词： Ontologies Web search Feedback Image retrieval Information retrieval Image databases Humans Set theory Information systems Radio frequency

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Efficient Algorithm for Computing Link-Based Similarity in Real World Networks

Efficient Algorithm for Computing Link-Based Similarity in R...

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IEEE International Conference on data Mining (ICDM)

作者： Yuanzhe Cai Gao Cong Xu Jia Hongyan Liu Jun He Jiaheng Lu Xiaoyong Du Key Laboratories of Data Engineering and Knowledge Engineering Ministry of Education China Department of Computer Science Renmin University of China China Department of Computer Science University of Aalborg Denmark Department of Management Science and Engineering Tsinghua University China

Similarity calculation has many applications, such as information retrieval, and collaborative filtering, among many others. It has been shown that link-based similarity measure, such as SimRank, is very effective in characterizing the object similarities in networks, such as the Web, by exploiting the object-to-object relationship. Unfortunately, it is prohibitively expensive to compute the link-based similarity in a relatively large graph. In this paper, based on the observation that link-based similarity scores of real world graphs follow the power-law distribution, we propose a new approximate algorithm, namely Power-SimRank, with guaranteed error bound to efficiently compute link-based similarity measure. We also prove the convergence of the proposed algorithm. Extensive experiments conducted on real world datasets and synthetic datasets show that the proposed algorithm outperforms SimRank by four-five times in terms of efficiency while the error generated by the approximation is small.

关键词： Computer networks Collaboration data engineering knowledge engineering Computer science Iterative algorithms Filtering data mining Helium Computer science education

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Incremental computation for MEDIAN cubes in what-if analysis

Incremental computation for MEDIAN cubes in what-if analysis

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Joint International Conference on Advances in data and Web Management, APWeb/WAIM 2009

作者： Xiao, Yanqin Zhang, Yansong Wang, Shan Chen, Hong Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China MOE Beijing 100872 China School of Information Renmin University of China Beijing 100872 China Computer Center Hebei University Baoding Hebei 071002 China Department of Computer Science Harbin Finance College Harbin 150030 China

ISBN: (纸本)9783642006715

What-if analysis is an important type of DSS analysis processing procedure. It analyzes hypothetical scenarios based on historical data. The data cube view must be updated when the what-if condition is changed. Since source data must be kept in order to compute the new aggregate value when new tuples are inserted or deleted, in what-if analysis, incrementally computing a data cube for holistic aggregation functions is a difficult problem. In this paper, we adopt delta cube strategy and work area technique to incrementally compute data cube for MEDIAN function. The size of work area has important influence on the efficiency of the incremental computing. This paper optimizes the size of work area based on the number and the cardinality of dimension attributes of the cuboid. Performance study shows that our algorithms are effective over large databases. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Geometry

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Efficient incremental computation of CUBE in multiple versions what-if analysis

Efficient incremental computation of CUBE in multiple versio...

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Joint International Conference on Advances in data and Web Management, APWeb/WAIM 2009

ISBN: (纸本)9783642006715

What-if analysis is an important method to analyze the hypothetical scenarios based on the historical data. It provides useful information for the decision- maker. Multiple versions are critical to what-if analysis. In this paper, we analyze the problem of multiple versions data processing and the incremental computation of cubes in what-if analysis, proposing a strategy to process multiple versions of what-if data. Our solution can adopt different data processing methods according to the type of aggregate functions, the efficiency of multiple versions data processing is improved. Furthermore, we proposes an algorithm of incremental computation of CUBE for max(min) function to reduce the access time of fact table, and the experimental results showed that the performance is improved about 10%. © Springer-Verlag Berlin Heidelberg 2009.

关键词： Decision making

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