The integrated delivery of large-scale data mining: The ACSys Data Mining Project

被引:0
|
作者
Williams, G
Altas, I
Bakin, S
Christen, P
Hegland, M
Marquez, A
Milne, P
Nagappan, R
Roberts, S
机构
[1] CSIRO, Cooperat Res Ctr Adv Computat Syst, Canberra, ACT 2601, Australia
[2] Univ Queensland, Dept Math, Brisbane, Qld 4072, Australia
[3] Australian Natl Univ, Comp Sci Lab, Canberra, ACT 0200, Australia
[4] Australian Natl Univ, Dept Comp Sci, Canberra, ACT 0200, Australia
[5] Charles Sturt Univ, Sch Informat Studies, Wagga Wagga, NSW 2678, Australia
来源
LARGE-SCALE PARALLEL DATA MINING | 2000年 / 1759卷
关键词
D O I
10.1007/3-540-46502-2_2
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Data Mining draws on many technologies to deliver novel and actionable discoveries from very large collections of data. The Australian Government's Cooperative Research Centre for Advanced Computational Systems (ACSys) is a link between industry and research focusing on the deployment of high performance computers for data mining. We present an overview of the work of the ACSys Data Mining projects where the use of large-scale, high performance computers plays a key role. We highlight the use of large-scale computing within three complimentary areas: the development of parallel algorithms for data analysis, the deployment of virtual environments for data mining, and issues in data management for data mining. We also introduce the Data Miner's Arcade which provides simple abstractions to integrate these components providing high performance data access for a variety of data mining tools communicating through XML.
引用
收藏
页码:24 / 54
页数:31
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