Data mining in publishing:: a nice feature or a necessity?

被引：0

作者：

Fernández-Steeger, TM ^{[1
]}

Zander, F ^{[1
]}

Callsen, S ^{[1
]}

Steinberg, S ^{[1
]}

Brauns, N ^{[1
]}

机构：

[1] VKG Verlagvertriebs KG Bauer Verlagsgrp, Hamburg, Germany

来源：

DATA MINING V: DATA MINING, TEXT MINING AND THEIR BUSINESS APPLICATIONS | 2004年 / 10卷

关键词：

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The two distribution channels in the publishing business - retail and subscription - compete against but at the same time complement each other. The following three examples show the importance and potentials of data mining in this stress field. The first example shows a model using Markov chains that will explain the coherence of these units. The other examples show how to estimate the medium lifetime of subscriptions and subsequently the maximum IPO. The last example finally explains how to create test groups for market research by employing supervised clustering and points out the advantages of using this method.

引用

页码：253 / 262

页数：10

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