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  1. 紀要
  2. お茶の水女子大學自然科學報告
  3. 53(1)

Web Log Data Sparsity Analysis and Performance Evaluation for OLAP

http://hdl.handle.net/10083/2368
http://hdl.handle.net/10083/2368
74155a50-2ab4-4f7f-9d8f-6f8384b8df7a
名前 / ファイル ライセンス アクション
KJ00004830736.pdf KJ00004830736.pdf (1.3 MB)
Item type 紀要論文 / Departmental Bulletin Paper(1)
公開日 2008-04-30
タイトル
タイトル Web Log Data Sparsity Analysis and Performance Evaluation for OLAP
言語
言語 eng
資源タイプ
資源 http://purl.org/coar/resource_type/c_6501
タイプ departmental bulletin paper
著者 Kim, Ji-Hyun

× Kim, Ji-Hyun

WEKO 70797

Kim, Ji-Hyun

Search repository
Yong, Hwan-Seung

× Yong, Hwan-Seung

WEKO 70798

Yong, Hwan-Seung

Search repository
内容記述
内容記述タイプ Other
内容記述 Many Internet businesses usually collect hundreds of megabytes of click-stream data everyday and want to analyze these data efficiently. But it is not easy to perform systematic analysis on such a huge amount of data. OLAP can be used for this purpose. It has to precalculate multidimensional summary results in order to get fast response. But as the number of dimensions and sparse cells increase, data explosion occurs seriously and the performance of OLAP decreases. In this paper, we present why this sparsity of web log data occurs and then what kinds of sparsity patterns are in the two and the three dimensions in OLAP. Based on sparsity patterns found we evaluate the performance of three OLAP systems (MS SQL 2000 Analysis Service, Oracle Express and MOLAP with the chunking method).
書誌情報 お茶の水女子大學自然科學報告

巻 53, 号 1, p. 91-96, 発行日 2002-06
ISSN
収録物識別子タイプ ISSN
収録物識別子 00298190
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AN00033958
フォーマット
内容記述タイプ Other
内容記述 application/pdf
形態
1269121 bytes
日本十進分類法
主題Scheme NDC
主題 400
出版者
出版者 お茶の水女子大学
資源タイプ
内容記述タイプ Other
内容記述 紀要論文
資源タイプ・ローカル
紀要論文
資源タイプ・NII
Departmental Bulletin Paper
資源タイプ・DCMI
text
資源タイプ・ローカル表示コード
03
所属
Department of Computer Science and Engineering Ewha Womans University
所属
Department of Computer Science and Engineering Ewha Womans University
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