Web for data mining
Yiming Ma, Bing Liu, Ching Kian Wong · ACM SIGKDD Explorations Newsletter · 2000
The web not only contains a vast amount of usefUl information, but also provides a powerful infrastructure for communication and information sharing.In this paper, we present a system (called DS-Web) that uses the web to help data mining.Specifically, we use the web to facilitate delivering and interpreting the discovered rules.Interpreting the discovered rules to gain a good understanding of the domain is an important phase of data mining.It is also a very difficult task because the number of rules involved is often very large.This problem has been regarded as a major obstacle to the use of data mining results.DS-WEB assists the user in understanding a set of discovered rules in two steps.First, it finds a special subset (or a summary) of the rules that represents the essential relationships of the domain to build a hierarchical structure of the rules.It then publishes this hierarchy of rules via multiple web pages connected using hyperlinks.By using the web, we inherit the advantages of the web, e.g., accessibility, multi-user communication and friendly interface.DS-WEB not only allows the user to browse the rules easily, but also allows us to create a virtual workspace where multiple users can share opinions on the rules.This ultimately contributes towards comprehension of the domain.Our application experiences show that DS-WEB is much more powerful than a conventional system.