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Data Mining: Practical Machine Learning Tools and Techniques

Book by Witten et al; 3rd edition (2011)
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Data Mining: Practical Machine Learning Tools and Techniques

Summary

Data Mining: Practical Machine Learning Tools and Techniques is a version, edition or translation[1].

Key Facts

  • Data Mining: Practical Machine Learning Tools and Techniques authored Practical Machine Learning Tools and Techniques — author (P50): Ian H. Witten[2].
  • Data Mining: Practical Machine Learning Tools and Techniques authored Practical Machine Learning Tools and Techniques — author (P50): Eibe Frank[3].
  • Data Mining: Practical Machine Learning Tools and Techniques's instance of is recorded as Practical Machine Learning Tools and Techniques — instance of (P31): version, edition or translation[4].
  • Data Mining: Practical Machine Learning Tools and Techniques's ISBN-13 is recorded as 978-0-12-374856-0[5].
  • Data Mining: Practical Machine Learning Tools and Techniques's DOI is recorded as 10.1016/C2009-0-19715-5[6].
  • Data Mining: Practical Machine Learning Tools and Techniques's language of work or name is recorded as Practical Machine Learning Tools and Techniques — language of work or name (P407): English[7].
  • Data Mining: Practical Machine Learning Tools and Techniques's publication date is recorded as +2011-00-00T00:00:00Z[8].
  • Data Mining: Practical Machine Learning Tools and Techniques's Open Library ID is recorded as OL25130580M[9].
  • Data Mining: Practical Machine Learning Tools and Techniques's main subject is recorded as Practical Machine Learning Tools and Techniques — main subject (P921): machine learning[10].
  • Data Mining: Practical Machine Learning Tools and Techniques's main subject is recorded as Practical Machine Learning Tools and Techniques — main subject (P921): data mining[11].
  • Data Mining: Practical Machine Learning Tools and Techniques's Library of Congress item ID is recorded as 2010039827[12].
  • Data Mining: Practical Machine Learning Tools and Techniques's title is recorded as Data Mining: Practical Machine Learning Tools and Techniques[13].
  • Data Mining: Practical Machine Learning Tools and Techniques's author name string is recorded as Mark A. Hall[14].

Body

Authorship and Creation

Authored works include Practical Machine Learning Tools and Techniques — author (P50): Ian H. Witten[2], a computer scientist[15], 2000–2023[16], awarded the Hector Medal[17] and Practical Machine Learning Tools and Techniques — author (P50): Eibe Frank[3], a computer scientist[18].

Publication

Data Mining: Practical Machine Learning Tools and Techniques's publication date is recorded as +2011-00-00T00:00:00Z[8]. Its language of work or name is recorded as Practical Machine Learning Tools and Techniques — language of work or name (P407): English[7].

Subject and Themes

Main subjects include Practical Machine Learning Tools and Techniques — main subject (P921): machine learning[10] and Practical Machine Learning Tools and Techniques — main subject (P921): data mining[11].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [4] ↑ . wikidata.org.
  2. [2] ↑ . wikidata.org.
  3. [3] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . Library of Congress Control Number. wikidata.org.
  7. [8] ↑ . Open Library. Retrieved . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . Open Library. Retrieved . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.

Inline context (facts about related entities)

  1. [15] ↑ . Wikidata. wikidata.org. → on this site
  2. [16] ↑ . Wikidata. wikidata.org. → on this site
  3. [17] ↑ . Wikidata. wikidata.org. → on this site
  4. [18] ↑ . Wikidata. wikidata.org. → on this site

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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