Scalable classification over SQL databases

被引：8

作者：

Chaudhuri, S ^{[1
]}

Fayyad, U ^{[1
]}

Bernhardt, J ^{[1
]}

机构：

[1] Microsoft Res, Redmond, WA 98052 USA

来源：

15TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING, PROCEEDINGS | 1999年

关键词：

D O I：

10.1109/ICDE.1999.754963

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We identify data-intensive operations that are common to classifiers and develop a middleware that decomposes and schedules these operations efficiently using a backend SQL database. Our approach has the added advantage of not requiring any specialized physical data organization. We demonstrate the scalability characteristics of our enhanced client with experiments on Microsoft Set Sewer 7.0 by varying data size, number of attributes and characteristics of decision trees.

引用

页码：470 / 479

页数：10

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