Trends in Data Mining and Knowledge Discovery - Advanced Techniques in Knowledge Discovery and Data Mining - page 3

applications, ease of writing programs that process XML documents, human-
comprehensibility of XML documents, quick design of XML documents, all
support usefulness of the XML technology. XML is currently revolutionizing a
number of fields, including the DMKD process.
In this chapter we describe a six-step DMKD process, provide examples, and
discuss its relation to other DMKD models. We also describe new technologies
like XML, XML-RPC, PMML, SOAP, UDDI, OLE BD-DM, and DM methods
and tools. The differences between the methods and tools of the DMKD process
are also discussed.

1.1.2. Why Data Mining and Knowledge Discovery?

DMKD history goes back to 1989 IJCAI Workshop on Knowledge Discovery in
Databases (KDD) [54]. The workshops continued until 1994; in 1995 the
International Conference on Knowledge Discovery and Data Mining became the
most important event for the DMKD community [55], [30]. DMKD conferences
like ACM SIGKDD, SPIE, PKDD, and SIAM, and journals like Data Mining and
Knowledge Discovery Journal (started in 1997), Journal of Knowledge and
Information Systems (started in 1999), and IEEE Transactions on Knowledge and
Data Engineering (started in 1989) have also become an integral part of the
DMKD field.
It is not easy to describe the current status of the DMKD field because it
changes very quickly. We attempt to describe it using Web-based online research
service Axiom® [6], which provides access to INSPEC, Compendex®,
PageOne™, and the Derwent World Patents Index databases. It finds research
papers using a user-specified set of keywords, and a time frame. To analyze the
DMKD field we performed several queries, which are summarized in Figures 1.1
and 1.2.

14 0 0

Data mining
M achine lear ning
M achine lear ning , d at a mining
Knowledge discovery, data mining

12 0 0

10 0 0

800

600

400

200

0

19 8 5 19 8 6 19 8 7 19 8 8 19 8 9 19 9 0 19 9 1 19 9 2 19 9 3 19 9 4 19 9 5 19 9 6 19 9 7 19 9 8 19 9 9 2 0 0 0

Year

Fig. 1.1. Evolution of data mining and data mining and knowledge discovery
fields.