期刊文献+

移动计算中概率数据集成的Top-k算法

Top-k Algorithms on Probabilistic Data Integration in Mobile Computing Environment
下载PDF
导出
摘要 基于一个给定的移动计算场景,讨论了模式映射的概率和相关的查询回答算法,并且描述了一个分布式的Top-k算法. Based on a given mobile computing scenario,we discuss the probability for schema mappings and related algorithm of query answer,then describe a distributed TOP-K algorithm working with a local one.
作者 潘林 齐庆芳
出处 《德州学院学报》 2014年第6期63-67,共5页 Journal of Dezhou University
关键词 移动计算 数据集成 数据概率 模式匹配 TOP-K 查询 mobile computing data integration data probability schema mapping Top-k query
  • 相关文献

参考文献13

  • 1M. Satyanarayanan. Pervasive Computing: Vision and Challenges IEEE Personal[J]. Communications, 2001, 8(4) :10-17.
  • 2Mark Weiser. The Computer for the 21st Century[J]. Scientific American, 1991, 265(3) : 94-104.
  • 3Debashis Saha, Amitava Mukherjee. A Pervasive com- puting: a paradigm for the 21^st century [J]. Computer, 2003,36(3) :25-31.
  • 4K. Henricksen, J. Indulska, A Rakotonirainy. Infra- structure for Pervasive Computing: Challenges, Work shop on Pervasive Computing and Information Logistics at Informatik 2001[M]. Vienna, 2001.
  • 5Jinchuan CHEN Yueguo CHEN Xiaoyong DU Cuiping LI Jiaheng LU Suyun ZHAO Xuan ZHOU.Big data challenge: a data management perspective[J].Frontiers of Computer Science,2013,7(2):157-164. 被引量:23
  • 6Eric Peukert, Julian Eberius, Erhard Rahm. A self- configuring schema matching system Proceedings, In- ternational Conference on Data Engineering [J].Pro- ceedings - IEEE 28th International Conference on Data Engineering, ICDE 2012 , 2012: 306-317.
  • 7Pavel Shvaiko , Jerome Euzenat. Ontology matching: State of the art and future challenges [J]. IEEE Trans- actions on Knowledge and Data Engineering, 2013,25 (1) :158-176.
  • 8E. Rahn, P. A. Bernstein. A survey of approaches to automatic schema matching[J]. Very Large Database J. , 2001,10(4):334 - 350.
  • 9Xin Dong, Alon Y. Halevy, et al. Data integration with uncertainty,Proceedings of the 33rd international con- ference on Very large data bases table of contents[M]. Vienna, Austria, 2007 : 687- 698.
  • 10周傲英,金澈清,王国仁,李建中.不确定性数据管理技术研究综述[J].计算机学报,2009,32(1):1-16. 被引量:185

二级参考文献135

  • 1金澈清,钱卫宁,周傲英.流数据分析与管理综述[J].软件学报,2004,15(8):1172-1181. 被引量:161
  • 2谷峪,于戈,张天成.RFID复杂事件处理技术[J].计算机科学与探索,2007,1(3):255-267. 被引量:54
  • 3Deshpande A, Guestrin C, Madden S, Hellerstein J M, Hong W. Model-driven data acquisition in sensor networks// Proceedings of the 30th International Conference on Very Large Data Bases. Toronto, 2004:588-599
  • 4Madhavan J, Cohen S, Xin D, Halevy A, Jeffery S, Ko D, Yu C. Web-scale data integration: You can afford to pay as you go//Proceedings of the 33rd Biennial Conference on Innovative Data Systems Research. Asilomar, 2007:342-350
  • 5Liu Ling. From data privacy to location privacy: Models and algorithms (tutorial)//Proceedings of the 33rd International Conference on Very Large Data bases. Vienna, 2007: 1429- 1430
  • 6Samarati P, Sweeney L. Generalizing data to provide anonymity when disclosing information (abstract)//Proeeedings of the 17th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems. Seattle, 1998:188
  • 7Cavallo R, Pittarelli M. The theory of probabilistic databases//Proceedings of the 13th International Conference on Very Large Data Bases. Brighton, 1987:71-81
  • 8Barbara D, Garcia-Molina H, Porter D. The management of probabilistic data. IEEE Transactions on Knowledge and Data Engineering, 1992, 4(5): 487-502
  • 9Fuhr N, Rolleke T. A probabilistic relational algebra for the integration of information retrieval and database systems. ACM Transactions on Information Systems, 1997, 15(1): 32-66
  • 10Zimanyi E. Query evaluation in probabilistic databases. Theoretical Computer Science, 1997, 171(1-2): 179-219

共引文献206

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部