From: cvs@openprivacy.orgCVS update: openprivacy/htdocs/notes
Date: Tuesday February 13, 19101 @ 13:58
Author: fen
CVSWEB Options: -------------------
Main CVSWeb: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi
View this module: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes
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Update of /usr/local/cvs/public/openprivacy/htdocs/notes
In directory giga:/home/fen/projects/openprivacy/htdocs/notes
Modified Files:
whitepaper.shtml
Log Message:
data mining quote
*****************************************************************
File: openprivacy/htdocs/notes/whitepaper.shtml
CVSWEB Options: -------------------
CVSWeb: Annotate this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?annotate=1.9
CVSWeb: View this file: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml?rev=1.9&content-type=text/x-cvsweb-markup
CVSWeb: Diff to previous version: http://openprivacy.org/cgi-bin/cvsweb/cvsweb.cgi/openprivacy/htdocs/notes/whitepaper.shtml.diff?r1=1.9&r2=1.8
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Index: openprivacy/htdocs/notes/whitepaper.shtml
This archive was generated by hypermail 2b30
: Tue Feb 13 2001 - 13:58:06 PST
diff -u openprivacy/htdocs/notes/whitepaper.shtml:1.8 openprivacy/htdocs/notes/whitepaper.shtml:1.9
--- openprivacy/htdocs/notes/whitepaper.shtml:1.8 Tue Feb 13 13:18:44 2001
+++ openprivacy/htdocs/notes/whitepaper.shtml Tue Feb 13 13:58:06 2001
@@ -9,7 +9,7 @@
</head>
<body bgcolor="#ffffff">
- <!-- $Id: whitepaper.shtml,v 1.8 2001/02/13 21:18:44 fen Exp $ -->
+ <!-- $Id: whitepaper.shtml,v 1.9 2001/02/13 21:58:06 fen Exp $ -->
<h1>OpenPrivacy - Building a Better Internet</h1>
@@ -98,9 +98,13 @@
Summar</i> <<a
href="http://www.the-dma.org/library/publications/libres-ecoimpact2.shtml">http://www.the-dma.org/library/publications/libres-ecoimpact2.shtml>>]
</blockquote>
-
-
</p>
+ <p>
+ Further, the Direct Marketing Association predicts that "Direct
+ Marketing's E-Growth Projected to Exceed Rest Of Web In 2001" (see
+ <<a
+ href="http://www.the-dma.org/cgi/dispnewsstand?article=238">http://www.the-dma.org/cgi/dispnewsstand?article=238>>).
+ </p>
<h3>Data Mining</h3>
<p>
The manner in which personal (profile) information is collected
@@ -113,6 +117,48 @@
opportunity. (Remember that the marketers were originally
beholden to Industry, but now Industry is beholden to the
marketers.) Their fear, reinforced by the marketers, is that ,
+ </p>
+ <p>
+ <blockquote>
+ [From: <i>Web-Mining: New Data Tools to Manage Web Strategy</i>
+ <<a
+ href="http://www.the-dma.org/cgi/dispnewsstand?article=244">http://www.the-dma.org/cgi/dispnewsstand?article=244>>
+ <font color=red>This is copyrighted - paraphrase!</font>]
+ <p>
+ There are three interdependent types of Web mining: usage,
+ structure, and content mining.
+ </p>
+ <p>
+ Usage mining is concerned with the discovery of site access
+ patterns as logged in server access logs. The types of analysis
+ range from custom reporting, usage profiling and banner ad
+ targeting, to real-time recommendations and cross-sale analysis,
+ to such CRM applications as customer attraction, segmentation,
+ retention and Web-time value.
+ </p>
+ <p>
+ Web structure mining refers to the application of data mining
+ techniques to improve the structure and design of Web
+ pages/sites. Structure mining could help assess the problem areas
+ on your sites, such as major traversal paths associated with quick
+ exits, preferred paths customers take to get to specific areas of
+ the site, and paths that lead to sales and cross-sales. Studies
+ show that people are gravitating to sites that deliver products
+ and services customized to their needs.
+ </p>
+ <p>
+ Web content mining is the mining of the content of Web pages and
+ refers to the automated search, extraction and classification of
+ primarily textual content information resources available
+ on-line. Application areas include customer support/service,
+ automated e-mail routing and reply, and knowledge management, such
+ as document clustering, content categorization, and keyword
+ extraction and associations.
+ </p>
+ </blockquote>
+
+
+ </blockquote>
</p>
<h3>Collaborative Filtering and Recommendation Systems</h3>
<p>