Data mining from 1994 to 2004: An application-orientated review

Sherry Y. Chen, Xiaohui Liu

Research output: Contribution to journalReview articlepeer-review

59 Scopus citations

Abstract

Data mining, which is also known as knowledge discovery, is one of the most popular topics in information technology. It concerns the process of automatically extracting useful information and has the promise of discovering hidden relationships that exist in large databases. These relationships represent valuable knowledge that is crucial for many applications. This paper presents a review of works on current applications of data mining, which focus on four main application areas, including bioinformatics data, information retrieval, adaptive hypermedia, and electronic commerce. How data mining can enhance functions for these four areas is described. The reader of this paper is expected to get an overview of the state-of-the-art research associated with these applications. Furthermore, we identify the limitations of current works and raise several directions for future research.

Original languageEnglish
Pages (from-to)4-21
Number of pages18
JournalInternational Journal of Business Intelligence and Data Mining
Volume1
Issue number1
DOIs
StatePublished - 2005

Keywords

  • Adaptive hypermedia
  • Bioinformatics
  • Citation analyses financial analyses
  • Data mining
  • Electronic commerce
  • Information retrieval
  • Knowledge discovery

Fingerprint

Dive into the research topics of 'Data mining from 1994 to 2004: An application-orientated review'. Together they form a unique fingerprint.

Cite this