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2nd International Conference on Mechatronics and Industrial Informatics, ICMII 2014

作者： Zhou, Ping School of Information Technology Jiangxi University of Finance and Economics Nanchang China Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China

ISBN: (纸本)9783038351764

This paper presents an analysis of strengths, weaknesses, opportunities, and threats (SWOT) for Chinese rural information society development (CRISD) policies in terms of its missions and strategies. After briefly describing the institutional and information society development contexts, the paper draws on literature reviews and questionnaires survey to list of SWOT factors for CRISD. These findings could be used to help adjust the next step work to support decision making for rural information society construction and to provide a valuable reference for other investors who are planning to invest in information society programs in China's rural regions. This article presents valuable missions and strategic goals through the SWOT analysis for realizing information society development in Chinese rural areas. © (2014) Trans Tech Publications, Switzerland.

关键词： Rural areas

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Implementation and performance of VoIP interception based on SIP session border controller

Implementation and performance of VoIP interception based on...

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作者： Yang, Menghui Liu, Hua Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China MOE Beijing 100872 China School of Information Resources Management Renmin University of China Beijing 100872 China

In an effort to provide lawful interception for session initiation protocol (SIP) voice over Internet protocol (VoIP), an interception architecture using session border controller (SBC) is proposed. Moreover, a prototype based on the proposed architecture is implemented. A testbed is set up and tests are carried out in order to analyze the performance and the capability of function entities and interfaces in the proposed architecture. Test results show that SBC interception capability in SIP signaling is superior to that in real-time transport protocol (RTP) media stream. In order to eliminate the possible bottleneck of RTP packets interception in SBC, an analytic model is proposed to investigate the mechanism in which RTP packet's traffics are shared among different SBC media functions. Analysis results show that multiple SBC media functions can share the RTP packets arrival and can significantly decrease RTP packets service time in SBC. Test results also show that delivery function, collect function and their interfaces in the proposed interception architecture have corresponding interception performance and capability with SBC. © 2013 Springer Science+Business Media New York.

关键词： Controllers

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Fuzzy associative classifier for probabilistic numerical data 7

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7th International Conference on Intelligent Systems and knowledge engineering, ISKE 2012 with 1st International Conference on Cognitive Systems and information Processing, CSIP 2012

作者： Pei, Bin Zhao, Tingting Zhao, Suyun Chen, Hong Key Laboratory of Data Engineering and Knowledge Engineering MOE Beijing China School of Information Renmin University of China Beijing China New Star Research Institute of Applied Tech Hefei China

ISBN: (纸本)9783642378287

Recently, a number of advanced data collection and processing methodologies have led to the proliferation of uncertain data. When discovering from such uncertain data, we should handle these uncertainties with caution, because classical mining algorithms may not be appropriate for uncertain tasks. This paper proposes a generic framework of fuzzy associative classifier for probabilistic numerical data, which is prevalent in the real-world applications, such as sensor networks and GPS-based location. In this paper, we first introduce an Aprioribased algorithm for mining fuzzy association rules from a probabilistic numerical dataset based on novel support and confidence measures suitable for such dataset. Then, we give fuzzy rules redundancy pruning strategy and database coverage method to build a compact fuzzy associative classifier in removing redundant rules and thus improving the accuracy of the classifier. We also redefine multiple fuzzy rules classification method for classifying new instances. Extensive experimental results show the effectiveness and efficiency of our algorithm. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Fuzzy rules

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The study of a hierarchical hadoop architecture in multiple data centers environment

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Open Cybernetics and Systemics Journal 2015年第1期9卷 131-137页

作者： Shengtao, Sun Aizhi, Wu Xiaoyang, Liu School of Information Science and Engineering Yanshan University QinhuangdaoHebei066004 China College of Vehicles and Energy Yanshan University QinhuangdaoHebei066004 China Data Industry Research Institute Limited Company QinhuangdaoHebei066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province QinhuangdaoHebei066004 China

Hadoop is a reasonable tool for cloud computing in big data era and MapReduce paradigm may be a highly successful programming model for large-scale data-intensive computing application, but the conventional MapReduce model and Hadoop framework limit themselves to implement jobs within single cluster. Traditional single-cluster Hadoop may not suitable for situations when data and compute resources are widely distributed this paper focuses on the application of Hadoop across multiple data centers and clusters. A hierarchical distributed computing architecture of Hadoop is designed and the virtual Hadoop file system is proposed to provide global data view across multiple data centers. The job submitted by user can be decomposed automatically into several sub-jobs which are then allocated and executed on corresponding clusters by location-aware manner. The prototype based on this architecture shows encouraging results. © Shengtao et al.

关键词： MapReduce

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Does web news media have opinions? Evidence from real estate market prediction 18

Does web news media have opinions? Evidence from real estate...

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18th Pacific Asia Conference on information Systems, PACIS 2014

作者： Sun, Daoyuan Zhang, Ce Xu, Wei Zuo, Meiyun Zhou, Junjie Du, Yudie Department of Information Systems School of Computing National University of Singapore Singapore Singapore School of Information Renmin University of China Beijing China Key Laboratory of Data Engineering and Knowledge Engineering Renmin University of China School of Information Beijing China School of E-Commerce and Logistics Management Henan University of Economics and Law Zhengzhou China

In this paper, we propose a novel method for real estate price prediction using web new media sentiments by incorporating human searching behaivor on the web. By combining online daily news' sentiments and Google search engine query data, we construct a web news content and online search behavior-based integrated model for real estate prediction. Besides these factors, real estate price time series data are also considered into the model in order to improve the forecasting performance. Furthermore, we make a comparison between the integrated model and the baseline model without search engine query data. Experimental results indicate that the integrated model outperforms the non-integrated model, which suggests that online user searching behavior is of great value in enhancing the prediction performance. These findings imply that the proposed integrated model is effective and feasible for real estate market prediction.

关键词： Search engines

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A study of SQL-on-Hadoop systems

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8807卷 154-166页

作者： Chen, Yueguo Qin, Xiongpai Bian, Haoqiong Chen, Jun Dong, Zhaoan Du, Xiaoyong Gao, Yanjie Liu, Dehai Lu, Jiaheng Zhang, Huijie Key Laboratory of Data Engineering and Knowledge Engineering MOE Beijing China School of Information Renmin University of China Beijing100872 China

ISBN: (纸本)9783319130200

Hadoop is now the de facto standard for storing and processing big data, not only for unstructured data but also for some structured data. As a result, providing SQL analysis functionality to the big data resided in HDFS becomes more and more important. Hive is a pioneer system that support SQL-like analysis to the data in HDFS. However, the performance of Hive is not satisfactory for many applications. This leads to the quick emergence of dozens of SQL-on-Hadoop systems that try to support interactive SQL query processing to the data stored in HDFS. This paper firstly gives a brief technical review on recent efforts of SQLon- Hadoop systems. Then we test and compare the performance of five representative SQL-on-Hadoop systems, based on some queries selected or derived from the TPC-DS benchmark. According to the results, we show that such systems can benefit more from the applications of many parallel query processing techniques that have been widely studied in the traditional MPP analytical databases. © Springer International Publishing Switzerland 2014.

关键词： big data

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Page Query Language Generation for Structural Extraction

Page Query Language Generation for Structural Extraction

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The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

作者： He Hu Xiaoyong Du School of Information Renmin University of China Key Laboratory of Data Engineering and Knowledge EngineeringMOE BeijingChina

ISBN: (纸本)9781479951499

The information on the Web is usually fabricated to be understandable by human users rather than ***'s not easy to automatically catalogue and extract the Web information solely with a software *** on these observations,we present an approach that uses human guided operations to automatically generate a PQL query,a SQL like query language focusing on Web pages,to extract the interested information fragments on Web *** PQL query uses XPath expressions to locating the target HTML *** develop a K-Medoid clustering algorithm to process PQL queries to generate the structural *** extracted information is structured as a relational table(in CSV format)which can be manipulated smoothly with spreadsheet software or a relational DBMS system.

关键词： PQL Structural Extraction Browser Extension

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Reports of the AAAI 2014 conference workshops

Reports of the AAAI 2014 conference workshops

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作者： Albrecht, Stefano V. Barreto, André M. S. Braziunas, Darius Buckeridge, David L. Cuayáhuitl, Heriberto Dethlefs, Nina Endres, Markus Farahmand, Amir-Massoud Fox, Mark Frommberger, Lutz Ganzfried, Sam Guillet, Sébastien Gil, Yolanda Hunter, Lawrence E. Jhala, Arnav Kersting, Kristian Konidaris, George Lecue, Freddy McIlraith, Sheila Natarajan, Sriraam Noorian, Zeinab Poole, David Ronfard, Rémi Saffiotti, Alessandro Shaban-Nejad, Arash Srivastava, Biplav Tesauro, Gerald Uceda-Sosa, Rosario Van Den Broeck, Guy Van Otterlo, Martijn Wallace, Byron C. Weng, Paul Wiens, Jenna Zhang, Jie School of Informatics University of Edinburgh United Kingdom Department of Applied and Computational Mathematics Brazilian National Laboratory Brazil Big Data Group Kobo Inc. Brazil Department of Epidemiology and Biostatistics McGill University Canada School of Mathematical and Computer Sciences Heriot-Watt University in Edinburgh United Kingdom University of Augsburg Germany Carnegie Mellon University United States University of Toronto Canada Cognitive Systems Group University of Bremen Germany LIARA UQAC Chicoutimi Canada Information Sciences Institute University of Southern California Computer Science Department United States Center for Computational Pharmacology University of Colorado School of Medicine United States Department of Computational Media University of California Santa Cruz United States Computer Science Department Technical University of Dortmund Germany MIT Computer Science and Artificial Intelligence Laboratory CambridgeMA United States IBM Research - Smarter Cities Technology Centre Dubline Ireland School of Informatics and Computing Indiana University United States Department of Computer Science University of Saskatchewan Canada University of British Columbia Canada INRIA University of Grenoble France Orebro University Sweden McGill Clinical and Health Informatics Group McGill University Canada IBM Research United States Cognitive Computing Department IBM Research Yorktown HeightsNY United States Computer Science Department Katholieke Universiteit Leuven Belgium Cognitive Artificial Intelligence Department Radboud University Nijmegen Netherlands University of Texas Austin United States Pierre and Marie Curie University Paris France University of Michigan United States School of Computer Engineering Nanyang Technological University Singapore

The AAAI-14 Workshop program was held Sunday and Monday, July 27-28, 2014, at the Québec City Convention Centre in Québec, Canada. The AAAI-14 workshop program included 15 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Artificial Intelligence and Robotics;Artificial Intelligence Applied to Assistive Technologies and Smart Environments;Cognitive Computing for Augmented Human Intelligence;computer Poker and Imperfect information;Discovery Informatics;Incentives and Trust in Electronic Communities;Intelligent Cinematography and Editing;Machine Learning for Interactive Systems: Bridging the Gap Between Perception, Action, and Communication;Modern Artificial Intelligence for Health Analytics;Multiagent Interaction Without Prior Coordination;Multidisciplinary Workshop on Advances in Preference Handling;Semantic Cities - Beyond Open data to Models, Standards, and Reasoning;Sequential Decision Making with big data;Statistical Relational AI;and the World Wide Web and Public Health Intelligence. This article presents short summaries of those events. © 2015, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Decision making

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Enterprise innovation evaluation based on fuzzy language field 6

Enterprise innovation evaluation based on fuzzy language fie...

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6th International Conference on Fuzzy information and engineering, ICFIE 2012 and 6th academic conference from Fuzzy information and engineering Branch of Operation Research Society of China, FIEBORSC 2012

作者： Yang, Bing-ru Li, Hui Qian, Wen-bin Zhang, Yu-chen Guo, Jian-wei School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China Beijing Key Laboratory of Knowledge Engineering for Materials Science Beijing100083 China School of Electronics and Information Engineering Liaoning Technical University Huludao125105 China School of Economics & Management Tongji University Shanghai200092 China

ISBN: (纸本)9783642386664

In this paper,we use fuzzy language field and themethod of fuzzy integrative evaluation algorithm that instead of the traditional method of Analytic Hierarchy Process in the background of the enterprise innovation level rating. And develop a system of computer-assisted innovation evaluation for evaluating the enterprise innovation. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Soft computing

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Investigating information Needs of Elderly People in Chinese Rural Community: Presenting an information Service Framework

Investigating Information Needs of Elderly People in Chinese...

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International Conference on Management of e-Commerce and e-Government, ICMECG

作者： Ping Zhou School of Information Technology Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China

Investigating information needs of elderly people could find out information required to address needs of the aged in a community to present an information service framework to meet their needs. Using data collected from 600 elderly people through field investigation with a questionnaire in a rural community in central China, the results show that the preferred information format of the vast majority of elderly people is audio and/or visual information product, especially audio product. Most of interviewees stated that they were in need of healthy and medical audio information products. The survey maybe lead to improved and expanded information services for respondents who are short of such services, including Public broadcasting services, extending the audiovisual collection, loaning audiovisuals, religious faith audiovisuals and others providing needed information to them. This paper assembles together views on what the elderly people currently need to be helped by both practitioners and researchers in the elderly people services domain.

关键词： Senior citizens information services Communities Sociology Statistics Aging Educational institutions

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