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題名 Monitoring Heterogeneous Nearest Neighbors for Moving Objects Considering Location-Independent Attributes
作者 Y-C- Su;Y-H- Wu;陳良弼
關鍵詞 Heterogeneous
日期 2007
上傳時間 16-Dec-2008 16:46:44 (UTC+8)
摘要 In some applications, data may possess both location-dependent and location-independent attributes. For example, in a job database, each job can be associated with both location-dependent attributes, e.g., the location of the work place, and location-independent ones, e.g., the salary. A person who uses this database to find a job may prefer not only a shorter distance between his/her house and the work place but also a higher salary. Therefore, a query with both concepts of “shorter distance” and “higher salary” should be considered to meet the user’s needs. We call it the heterogeneous k-nearest neighbor (HkNN) query in distinction from the traditional k-nearest neighbor (kNN) query in the spatial domain, which only concerns location-dependent attributes. To our knowledge, this paper is the first work proposing a generic framework for solving the HkNN query. We propose an efficient approach based on the bounding property for the HkNN query evaluation. Furthermore, we provide an update mechanism for continuously monitoring the HkNN queries in a dynamic environment. Experimental results verify that the proposed framework is both efficient and scalable.
關聯 Lecture Notes in Computer Science, 4443, 300-312
資料類型 article
dc.creator (作者) Y-C- Su;Y-H- Wu;陳良弼en_US
dc.date (日期) 2007en_US
dc.date.accessioned 16-Dec-2008 16:46:44 (UTC+8)-
dc.date.available 16-Dec-2008 16:46:44 (UTC+8)-
dc.date.issued (上傳時間) 16-Dec-2008 16:46:44 (UTC+8)-
dc.identifier.uri (URI) https://nccur.lib.nccu.edu.tw/handle/140.119/15007-
dc.description.abstract (摘要) In some applications, data may possess both location-dependent and location-independent attributes. For example, in a job database, each job can be associated with both location-dependent attributes, e.g., the location of the work place, and location-independent ones, e.g., the salary. A person who uses this database to find a job may prefer not only a shorter distance between his/her house and the work place but also a higher salary. Therefore, a query with both concepts of “shorter distance” and “higher salary” should be considered to meet the user’s needs. We call it the heterogeneous k-nearest neighbor (HkNN) query in distinction from the traditional k-nearest neighbor (kNN) query in the spatial domain, which only concerns location-dependent attributes. To our knowledge, this paper is the first work proposing a generic framework for solving the HkNN query. We propose an efficient approach based on the bounding property for the HkNN query evaluation. Furthermore, we provide an update mechanism for continuously monitoring the HkNN queries in a dynamic environment. Experimental results verify that the proposed framework is both efficient and scalable.-
dc.format application/en_US
dc.language enen_US
dc.language en-USen_US
dc.language.iso en_US-
dc.relation (關聯) Lecture Notes in Computer Science, 4443, 300-312en_US
dc.subject (關鍵詞) Heterogeneous-
dc.title (題名) Monitoring Heterogeneous Nearest Neighbors for Moving Objects Considering Location-Independent Attributesen_US
dc.type (資料類型) articleen