Data Mining Methods and Models

原创于 2008-08-07 05:29:00 发布 · 762 阅读

0 ·

CC 4.0 BY-SA版权

文章标签：

#methods #exchange #features #web

Data Mining 专栏收录该内容

20 篇文章

订阅专栏

本文介绍了多种数据挖掘方法和模型，包括关联规则、聚类分析、K最近邻算法、统计推断、神经网络、线性和逻辑回归以及多元分析等。文章采用CRISP方法论进行组织，提供了一个统一的框架来探讨这些技术和模型，并通过章节项目中使用的大型数据集实例进行说明。

摘要生成于 C知道，由 DeepSeek-R1 满血版支持，前往体验 >

Provides an introduction into data mining methods and models, including association rules, clustering, K-nearest neighbor, statistical inference, neural networks, linear and logistic regression, and multivariate analysis Presents a unified approach based on CRISP methodology, which involves Strategic Risk Assessment based on Organizational Modelling A companion Web site features downloads of large data sets used in the chapter projects, with a discussion area and message board, where readers are encouraged to exchange ideas
http://rapidshare.com/files/51104013/0471666564.rar