ALBERT BANDURA

Jun 18th, 2015
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Abraham Lincoln University
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While at Iowa, he met Virginia Varns, an instructor in the nursing school. They married and later had two daughters. After graduating, he took a postdoctoral position at the Wichita Guidance Center in Wichita, Kansas

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CHAPTER 1 INTRODUCTIONThe search service on the internet is usually done by providing the popularity of keyword in applications such as Google earth and yahoo maps. In these applications, the spatial information of objects is provided to the user by list of keywords. The queries on spatial objects combined with textual information are represented by set of keywords, called spatial keyword queries. Here we study a new type of spatial keyword query called Aggregate Nearest Keyword (ANK) query. A user may want to rank a set of locations with respect to the sum of distances to nearest interested facilities. Given a set of data points D, query object Q and query keyword m, an ANK query is implemented to obtain a minimum sum of distances to its nearest points in D. Each nearest point obtained matches at least one of the query keywords m. For processing this query several algorithms are proposed. The processing of ANK query consists of Probing algorithm, Hierarchical Join Algorithm.In order to prune large portion of query objects reducing the number of node accesses, this extensive experiments on spatial databases is effective in reducing ANK query response time which exhibits good scalability with the query objects and the number of query keywords.1.1 ABOUT SPATIAL MININGSpatial data mining is the process of discovering interesting and previously un- known, but potentially useful patt

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