Research and implementation of combinative technology of OLAP and clustering

Lin Lv; Xuefeng Wang; Donghua Zhu

Research and implementation of combinative technology of OLAP and clustering

Lin Lv^*
, Xuefeng Wang
, Donghua Zhu

^*此作品的通讯作者

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

1 引用（Scopus）

摘要

This paper roundly summarizes OLAP and clustering technologies from the various angels of definition, algorithm, model constructing and visualization. Their essential relations and differences are taken apart. Based on that, aiming at US Issued patent databases, the systemic solving scheme that combines OLAP and clustering technologies is presented The experimental results are ideal, which indicates that the combinative method is the developing direction of data mining.

源语言	英语
页（从-至）	1977-1982
页数	6
期刊	Journal of Computational Information Systems
卷	3
期	5
出版状态	已出版 - 10月 2007

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title = "Research and implementation of combinative technology of OLAP and clustering",

abstract = "This paper roundly summarizes OLAP and clustering technologies from the various angels of definition, algorithm, model constructing and visualization. Their essential relations and differences are taken apart. Based on that, aiming at US Issued patent databases, the systemic solving scheme that combines OLAP and clustering technologies is presented The experimental results are ideal, which indicates that the combinative method is the developing direction of data mining.",

keywords = "Clustering, Data Mining, Data Warehouse, OLAP",

author = "Lin Lv and Xuefeng Wang and Donghua Zhu",

year = "2007",

month = oct,

language = "English",

volume = "3",

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journal = "Journal of Computational Information Systems",

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T1 - Research and implementation of combinative technology of OLAP and clustering

AU - Lv, Lin

AU - Wang, Xuefeng

AU - Zhu, Donghua

PY - 2007/10

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N2 - This paper roundly summarizes OLAP and clustering technologies from the various angels of definition, algorithm, model constructing and visualization. Their essential relations and differences are taken apart. Based on that, aiming at US Issued patent databases, the systemic solving scheme that combines OLAP and clustering technologies is presented The experimental results are ideal, which indicates that the combinative method is the developing direction of data mining.

AB - This paper roundly summarizes OLAP and clustering technologies from the various angels of definition, algorithm, model constructing and visualization. Their essential relations and differences are taken apart. Based on that, aiming at US Issued patent databases, the systemic solving scheme that combines OLAP and clustering technologies is presented The experimental results are ideal, which indicates that the combinative method is the developing direction of data mining.

KW - Clustering

KW - Data Mining

KW - Data Warehouse

KW - OLAP

UR - https://www.scopus.com/pages/publications/37749024365

M3 - Article

AN - SCOPUS:37749024365

SN - 1553-9105

VL - 3

SP - 1977

EP - 1982

JO - Journal of Computational Information Systems

JF - Journal of Computational Information Systems

IS - 5

ER -

Research and implementation of combinative technology of OLAP and clustering

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