When visitors interact with your site, they provide information about themselves and how they respond to your content: which links visitors click, where they spend most of their time, which search terms they use, and when they browse. Some visitors may even fill out a lifestyle survey or provide names and addresses. Complex content also contains important information, such as words in articles, job descriptions and resumes, and features of competitive or complementary products. All this information is often stored in a database.
Web Techniques: Sidebar
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Mining Camps Data-Mining Vendors
Many vendors include data mining in their Web products. This list offers some representative vendors in different fields.
Andromedia
www.andromedia.com
Realtime personalization based on click-stream, preference profiles, purchase history, and demographics (LikeMinds). Uses collaborative
filtering. Ties in with realtime Web marketing analysis
and reporting system (Aria).
Ask Me Help Desk
www.askmehelpdesk.com/
An online expert community where you can ask questions in any topic and have them answered for free by their "experts".
Autonomy
www.autonomy.com
Knowledge management for categorization and text-portal
personalization. Uses neural networks.
DataSage
www.datasage.com
Hybrid prediction/OLAP system reports on visitor and item
characteristics associated with predicted market value.
Uses clustering and neural networks.
eGain
www.egain.com
Knowledge management system for email customer support.
Uses neural networks.
HNC
www.hncs.com
Targeting system for advertisements (SelectCast). Knowledge management system for email customer service (SelectResponse). Uses neural networks.
Kana
www.kana.com
Knowledge management system for email customer support.
Uses neural networks.
Personalogic
www.personalogic.com
Decision tree system for selecting products by desired features.
Uses Bayesian networks.
Personify
www.personify.com
Clustering system lets sites analyze general characteristics of groups
of visitors.
SAS
www.sas.com/software
Provides traditional (non-realtime) data-mining tools that must be
assembled for a particular application. Uses clustering, neural networks. --DG
