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Titlebook: Web-Age Information Management; 12th International C Haixun Wang,Shijun Li,Tieyun Qian Conference proceedings 2011 The Editor(s) (if applic

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Leveraging Communication Information among Readers for RFID Data Cleaningality due to frequent occurrences of false negative, false positive and duplicate readings. A number of RFID data cleaning techniques are proposed to solve the problem. In this paper we explore to use communication information for RFID data cleaning and make RFID readers produce less dirty data at t
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Expansion Finding for Given Acronyms Using Conditional Random Fieldsthe task of finding expansions in texts for given acronym queries. We formulate the expansion finding problem as a sequence labeling task and use Conditional Random Fields to solve it. Since it is a complex task, our method tries to enhance the performance from two aspects. First,we introduce nonlin
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0302-9743 anized in topical sections on query processing, uncertain data, social media, semantics, data mining, cloud data, multimedia data, user models, data management, graph data, name disambiguation,  performance, temporal data, XML, spatial data and event detection..978-3-642-23534-4978-3-642-23535-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Efficient Filter Algorithms for Reverse k-Nearest Neighbor Querytable for most mobile devices. A new filter strategy called BRC is proposed to deal with the filter step for R.NN queries. There are two pruning heuristics in BRC. The experiments show that the processing time of BRC is still acceptable for most mobile devices when . is large. And we extend the BRC to the continuous R.NN queries.
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Efficient Filter Algorithms for Reverse k-Nearest Neighbor Querytable for most mobile devices. A new filter strategy called BRC is proposed to deal with the filter step for R.NN queries. There are two pruning heuristics in BRC. The experiments show that the processing time of BRC is still acceptable for most mobile devices when . is large. And we extend the BRC to the continuous R.NN queries.
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Conference proceedings 2011and selected from a total of 181 submissions. The papers are organized in topical sections on query processing, uncertain data, social media, semantics, data mining, cloud data, multimedia data, user models, data management, graph data, name disambiguation,  performance, temporal data, XML, spatial data and event detection..
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Analytics for Info-plosion Including Information Diffusion Studies for the 3.11 Disasterntury. This causes so called information overload. Although there are such negative problems, we could think that this is a first experience for human being to see such a vast amount of information. Taking advantage of such a totally new opportunity, we believe various disruptive services could be i
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