文档介绍：Data mining & Business Intelligence
数据挖掘与商务智能
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课程内容
预备知识
1
数据挖掘(DM)
2
商业智能(BI)
3
数据挖掘的含义&任务
数据质量
数据预处理
汇总统计、数据可视化&OLAP
分类、关联分析、聚类分析具体方法
各类数据挖掘工具简介
BI的含义&案例
数据挖掘技术在BI中的应用
面向服务架构&BI
参考书籍:
Introduction to Data Mining
[美]P. N. Tan .
参考书籍:
“Data Mining: Concepts and Techniques”, 2nd edition, . Han and M. Kamber.
商务智能与数据挖掘Microsoft SQL server应用, 谢邦昌
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2 数据挖掘
数据挖掘工具简介
典型工具比较
各类工具简介
各类工具简介
目前,世界上比较有影响的典型数据挖掘系统包括:
Enterprise Miner( SAS公司)
Intelligent Miner( IBM公司)
SetMiner( SGI公司)
Clementine( SPSS公司)
Warehouse Studio( Sybase公司)
See5( RuleQuest Research公司)
CoverStory
EXPLORA
Knowledge Discovery Workbench
DBMiner
Quest等
各类工具简介…
LCOMPARISON/tabid/58/
该网站提供了许多数据挖掘系统和工具的性能测试报告。
各类工具简介…
IBM Intelligent Miner
A wide range of data mining algorithms
Scalable mining algorithms
Toolkits: work algorithms, statistical methods, data preparation, and data visualization tools
Tight integration with IBM's DB2 relational database system
SAS Enterprise Miner
A variety of statistical analysis tools
Data warehouse tools and multiple data mining algorithms
Mirosoft SQLServer 2000
Integrate DB and OLAP with mining
Support OLEDB for DM standard
各类工具简介…
SGI MineSet
Multiple data mining algorithms and advanced statistics
Advanced visualization tools
Clementine (SPSS)
An integrated data mining development environment for end-users and developers
Multiple data mining algorithms and visualization tools
DBMiner (DBMiner Technology Inc.)
Multiple data mining modules: discovery-driven OLAP analysis, association, classification, and clustering
Efficient, association and sequential-pattern mining functions, and visual classification tool
Mining both relational databases and data warehouses
几种数据挖掘工具比较
产品
公司
主页
版本
Clementine
SPSS.
mentine/
Darwin
Oracle
hnology/documentation/
Enterprise Miner
SAS Institute
tware/index