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检索条件"机构=Knowledge and Data Engineering Group Computer Science Department"
1129 条 记 录,以下是941-950 订阅
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Semantic clustering using multiple ontologies
Semantic clustering using multiple ontologies
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作者: Batet, Montserrat Valls, Aïda Gibert, Karina Sánchez, David Research Group Department of Computer Science and Mathematics Universitat Rovira i Virgili Avda. Països Catalans 26 43007 Tarragona Catalunya Spain Knowledge Engineering and Machine Learning Group Department of Statistics and Operations Research Universitat Politècnica de Catalunya Spain
data mining tools able to semantically interpret textual or linguistic data are acquiring a growing importance. Moreover, the development of large ontologies for general and specific domains provides new tools to incl... 详细信息
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Local Methods for Estimating SimRank Score
Local Methods for Estimating SimRank Score
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International Asia-Pacific Web Conference (APWEB)
作者: Xu Jia Hongyan Liu Li Zou Jun He Xiaoyong Du Yuanzhe Cai Ministry of Education Key Laboratories of Data Engineering and Knowledge Engineering China Department of Computer Science Renmin University of China China Department of Management Science and Engineering Tsinghua University China Department of Computer Science University of Texas Arlington TX USA
SimRank is a well known algorithm which conducts link analysis to measure similarity between each pair of nodes (nodepair). But it suffers from high computational cost, limiting its usage in large-scale datasets. More... 详细信息
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Performance study on logging to another main memory database
Performance study on logging to another main memory database
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International Conference on New Trends in Information and Service science, NISS
作者: Xiongpai Qin Xiaoyun Zhou Key Laboratory of Data Engineering and Knowledge Engineering School of Information Renmin University of China Beijing 100872 China Department of Computer Science and Technology Xuzhou Normal University Jiangsu 221008 China
In update intensive main memory database applications, huge volume of log records is generated, to maintain the ACID properties of the database system, the log records should be persistent efficiently. Delegating logg... 详细信息
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Global Top-k Aggregate Queries Based on X-tuple in Uncertain database
Global Top-k Aggregate Queries Based on X-tuple in Uncertain...
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International Conference on Advanced Information Networking and Applications Workshops (AINAW)
作者: Dexi Liu Changxuan Wan Naixue Xiong Jong Hyuk Park Sang-Soo Yeoe School of Information Technology Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China Department of Computer Science Georgia State University Atlanta GA USA Department of Computer Science and Engineering Seoul National University of Technology Seoul South Korea Division of Computer Engineering Mokwon University Daejeon South Korea
A Top-k aggregate query, which is a powerful technique when dealing with large quantity of data, ranks groups of tuples by their aggregate values and returns k groups with the highest aggregate values. However, compar... 详细信息
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Two Novel Semantics of Top-k Queries Processing in Uncertain database
Two Novel Semantics of Top-k Queries Processing in Uncertain...
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International Conference on computer and Information Technology (CIT)
作者: Dexi Liu Changxuan Wan N. Xiong Laurence T. Yang Lei Chen School of Information Technology Jiangxi Key Laboratory of Data and Knowledge Engineering Jiangxi University of Finance and Economics Nanchang China Department of Computer Science Georgia State University Atlanta GA USA Department of Computer Science Saint Francis Xavier University Antigonish NS Canada Department of Computer Science HK University of Science and Technology Hong Kong China
Top-k query is a powerful technique in uncertain databases because of the existence of exponential possible worlds, and it is necessary to combine score and confidence of tuples to derive top k answers. Different sema... 详细信息
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Reports of the AAAI 2010 conference workshops
Reports of the AAAI 2010 conference workshops
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作者: Aha, David W. Boddy, Mark Bulitko, Vadim D'Avila Garcez, Artur S. Doshi, Prashant Edelkamp, Stefan Geib, Christopher Gmytrasiewicz, Piotr Goldman, Robert P. Halevy, Alon Hitzler, Pascal Isbell, Charles Josyula, Darsana Kaelbling, Leslie Pack Kersting, Kristian Kunda, Maithilee Lamb, Luis C. Marthi, Bhaskara McGreggor, Keith Mihalkova, Lilyana Nastase, Vivi Natarajan, Sriraam Provan, Gregory Raja, Anita Ram, Ashwin Riedl, Mark Russell, Stuart Sabharwal, Ashish Smaus, Jan-Georg Sukthankar, Gita Tuyls, Karl Van Der Meyden, Ron Adaptive Systems Section Naval Research Laboratory Washington DC United States Adventium Labs. Minneapolis MN United States Department of Computer Science University of Alberta Canada City University London United Kingdom University of Georgia United States University of Bremen Germany School of Informatics University of Edinburgh United Kingdom University of Illinois Chicago United States Smart Information Flow Technologies LLC Minneapolis MN United States Structured Data Group Google Research United States Department of Computer Science Wright State University Dayton OH United States School of Interactive Computing Georgia Institute of Technology Atlanta GA United States Department of Computer Science Bowie State University United States Department of Computer Science and Engineering Massachusetts Institute of Technology United States Statistical Relational Mining Group Fraunhofer IAIS Germany Department of Computer Science Federal University of Rio Grande Do sul Brazil Willow Garage Inc. CA United States Computer Science Department University of Maryland College Park United States Heidelberg Institute for Theoretical Studies Heidelberg Germany Department of Computer Science University of Wisconsin Madison United States University College Cork Ireland Cork Complex Systems Lab. Ireland Department of Software and Information Systems University of North Carolina Charlotte United States Department of Computer Science and Engineering University of California Berkeley United States Department of Computer Science Cornell University United States Institute for Computational Sustainability United States University of Freiburg Germany School of Electrical Engineering and Computer Science University of Central Florida United States Maastricht University Netherlands University of New South Wales NICTA Australia
The AAAI-10 workshop program was held on July 11-12, 2010, at the Westin Peachtree Plaza in Atlanta, Georgia. The workshop program included 13 workshops covering a wide range of topics in artificial intelligence. Ther... 详细信息
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Resource management of enterprise cloud systems using layered queuing and historical performance models
Resource management of enterprise cloud systems using layere...
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2010 IEEE International Symposium on Parallel and Distributed Processing, Workshops and Phd Forum, IPDPSW 2010
作者: Bacigalupo, David A. Van Hemert, Jano Usmani, Asif Dillenberger, Donna N. Wills, Gary B. Jarvis, Stephen A. School of Electronics and Computer Science University of Southampton SO17 1BJ United Kingdom Data-Intensive Research Group School of Informatics University of Edinburgh EH8 9AB United Kingdom BRE Centre for Fire Safety Engineering School of Engineering University of Edinburgh EH9 3JL United Kingdom IBM T.J. Watson Research Centre Yorktown Heights NY 10598 United States Department of Computer Science High Performance Systems Group University of Warwick CV4 7AL United Kingdom
The automatic allocation of enterprise workload to resources can be enhanced by being able to make 'whatif' response time predictions, whilst different allocations are being considered. It is important to quan... 详细信息
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Resource management of enterprise cloud systems using layered queuing and historical performance models
Resource management of enterprise cloud systems using layere...
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IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW)
作者: David A. Bacigalupo Jano van Hemert Asif Usmani Donna N. Dillenberger Gary B. Wills Stephen A. Jarvis School of Electronics and Computer Science University of Southampton UK Data-Intensive Research Group School of Informatics University of Edinburgh UK BRE Centre of Fire Safety Engineering School of Engineering University of Edinburgh UK IBM Thomas J. Watson Research Center Yorktown Heights NY USA High Performance Systems Group Department of Computer Science University of Warwick UK
The automatic allocation of enterprise workload to resources can be enhanced by being able to make `what-if' response time predictions, whilst different allocations are being considered. It is important to quantit... 详细信息
来源: 评论
Evaluation of ontology mapping representations
Evaluation of ontology mapping representations
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23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009
作者: Thomas, Hendrik O'Sullivan, Declan Brennan, Rob Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland
A common approach to mitigate the effects of ontology heterogeneity is to discover and express the specific correspondences between different ontologies. An open research question is: how should such ontology mappings... 详细信息
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Multilingual ontology mapping: Challenges and a proposed framework
Multilingual ontology mapping: Challenges and a proposed fra...
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23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009
作者: Fu, Bo Brennan, Rob O'Sullivan, Declan Knowledge and Data Engineering Group School of Computer Science and Statistics Trinity College Dublin Ireland
A key problem in supporting multilingual information retrieval and digital content management is reasoning about overlapping context domains. Ontologies are currently emerging as representation techniques for overlapp... 详细信息
来源: 评论