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 <title ArticleCode="105034">A Qualitative Comparison Study of Data Structures for Large Line Segment Databases.</title>
 <authors>
 <author AuthorPosition="00">Erik G. Hoel</author>
 <author AuthorPosition="01">Hanan Samet</author>
 </authors>
 <confName>ACM SIGMOD Conference</confName>
 <confYear>1992</confYear>
 <volume>21</volume>
 <number>2</number>
 <initPage>205</initPage>
 <endPage>214</endPage>
 <fullText href="http://www.acm.org/pubs/articles/proceedings/mod/130283/p205-hoel/p205-hoel.pdf">
 	<size>1389 KB</size>
 </fullText>
 <abstract>A qualitative comparative study is performed of the performance of three popular spatial indexing methods - the R*-tree, R+-tree, and the PMR quadtree - in the context of processing spatial queries in large line segment databases. The data is drawn from t</abstract>
 <generalTerms>
 <term>Data, DATA STRUCTURES, Trees.</term>
 <term>Information Systems, INFORMATION STORAGE AND RETRIEVAL, Content Analysis and Indexing, Indexing methods.</term>
 </generalTerms>
 <categoryAndSubjectDescriptors>
  <categoryAndSubjectDescriptorsTuple>
 <category>E.1</category>
 <content>Data, DATA STRUCTURES, Trees.</content>
  </categoryAndSubjectDescriptorsTuple>

  <categoryAndSubjectDescriptorsTuple>
 <category>H.3.1</category>
 <content>Information Systems, INFORMATION STORAGE AND RETRIEVAL, Content Analysis and Indexing, Indexing methods.</content>
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