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Overview of content related to 'data mining'

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This page provides an overview of 5 articles related to 'data mining', listing most recently updated content first. Note that filters may be applied to display a sub-set of articles in this category (see FAQs on filtering for usage tips). Select this link to remove all filters.

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Data mining (the analysis step of the "Knowledge Discovery in Databases" process, or KDD), an interdisciplinary subfield of computer science, is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. Aside from the raw analysis step, it involves database and data management aspects, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization, and online updating. (Excerpt from Wikipedia article: Data Mining)

Key statistics

Metadata related to 'data mining' (as derived from all content tagged with this term):

  • Number of articles referring to 'data mining': 48 (2.8% of published articles)
  • Total references to 'data mining' across all Ariadne articles: 116
  • Average number of references to 'data mining' per Ariadne article: 2.42
  • Earliest Ariadne article referring to 'data mining': 1998-12
  • Trending factor of 'data mining': 13.6 (see FAQs on monitoring of trends)

See our 'data mining' overview for more data and comparisons with other tags. For visualisations of metadata related to timelines, bands of recency, top authors, and and overall distribution of authors using this term, see our 'data mining' usage charts. Usage chart icon

Top authors

Ariadne contributors most frequently referring to 'data mining':

  1. michael day (see articles on this topic by this author)
  2. sophia ananiadou (see articles on this topic by this author)
  3. paul watry (see articles on this topic by this author)
  4. julia chruszcz (see articles on this topic by this author)
  5. john keane (see articles on this topic by this author)

Note: Links to all articles by authors listed above set filters to display articles by each author in the overview below. Select this link to remove all filters.

Title Article summary Date

Book Review: Information Science in Transition

Michael Day reviews an edited volume published to commemorate the founding of the Institute of Information Scientists in 1958.

April 2010, issue63, review

Book Review: ARIST 39 - Annual Review of Information Science and Technology

Michael Day reviews another recent volume of this key annual publication on information science and technology.

February 2006, issue46, review

Book Review: Annual Review of Information Science and Technology, 2004 (Volume 38)

Michael Day reviews a recent volume of this key annual publication on information science and technology.

October 2005, issue45, review

ECDL2004: 4th International Web Archiving Workshop, September 2004

Michael Day reports on the 4th International Web Archiving Workshop held at the University of Bath in September as part of ECDL 2004.

October 2004, issue41, event report

Book Review: Annual Review of Information Science and Technology, Volume 36

Michael Day takes a detailed look at the structure and content of this hardy annual.

July 2003, issue36, review

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