@article{3424,
  title = {Knowledge Discovery in Databases: An Information Retrieval Perspective},
  journal = {Malaysian Journal of Computer Science},
  abstract = {The current trend of increasing capabilities in data
  generation and collection has resulted in an urgent need for
  data mining applications, also called knowledge discovery
  in databases. This paper identifies and examines the issues
  involved in extracting useful grains of knowledge from
  large amounts of data.
  It describes a framework to categorise data mining systems.
  The author also gives an overview of the issues pertaining
  to data pre processing, as well as various information
  gathering methodologies and techniques. The paper covers
  some popular tools such as classification, clustering, and
  generalisation. A summary of statistical and machine
  learning techniques used currently is also provided.},
  volume = {13},
  number = {2},
  pages = {54-63},
  organization = {Max-Planck-Gesellschaft},
  school = {Biologische Kybernetik},
  month = dec,
  year = {2000},
  slug = {3424},
  author = {Ong, CS.},
  month_numeric = {12}
}