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

Encumber

Keyword Query Cleaning with Query Logskeyword query processing. In addition, the keywords in a given query often form natural segments. For example, the query “Tom Hanks Green Mile” can be considered as consisting of two segments, “Tom Hanks” and “Green Mile”. The goal of keyword query cleaning is to identify the optimal segmentation of

legitimate

maverick

A Self-adaptive Cross-Domain Query Approach on the Deep Webtion of pairs of domains, when we do some queries involving multiple domains, such as “find a post named software development engineer on job web and look for apartments for rental around the company having been chosen”, we note that general-purpose search engines and general integration frameworks

領巾

Data-Driven Modeling and Analysis of Online Social Networkshange, and individual entertainment and enhancement in a wide variety of forms. In light of these notable outcomes, understanding information diffusion over online social networks is a critical research goal. Because many social interactions currently take place in online networks, we now have have

Rankle

嘴唇可修剪

Efficient Filter Algorithms for Reverse k-Nearest Neighbor Queryer-refinement) R.NN processing. However, for a large ., the amount of calculation becomes very heavy, especially in the filter step. This is not acceptable 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 heuri

AMBI

Probabilistic Threshold Join over Distributed Uncertain Dataquerying uncertain data in distributed environment have only focus on ranking and skyline, join queries have not been addressed in earlier work despite their importance in databases. In this paper, we address distributed probabilistic threshold join query, which retrieves results satisfying the join

運氣

Keyword Query Cleaning with Query Logskeyword query processing. In addition, the keywords in a given query often form natural segments. For example, the query “Tom Hanks Green Mile” can be considered as consisting of two segments, “Tom Hanks” and “Green Mile”. The goal of keyword query cleaning is to identify the optimal segmentation of

Dealing

archenemy