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Data Mining and Knowledge Discovery

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Periodical scientific_journal Q5227191
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Summary

Data Mining and Knowledge Discovery is a scientific journal[1]. It ranks in the top 3% of scientific_journal entities by monthly Wikipedia readership (1 views/month).[2]

Key Facts

  • Data Mining and Knowledge Discovery's instance of is recorded as scientific journal[3].
  • Data Mining and Knowledge Discovery's publisher is recorded as Springer Science+Business Media[4].
  • Data Mining and Knowledge Discovery's ISSN is recorded as 1384-5810[5].
  • Data Mining and Knowledge Discovery's ISSN is recorded as 1573-756X[6].
  • Data Mining and Knowledge Discovery's OCLC number is recorded as 38037443[7].
  • Data Mining and Knowledge Discovery's language of work or name is recorded as English[8].
  • Data Mining and Knowledge Discovery's archives at is recorded as Portico[9].
  • Data Mining and Knowledge Discovery's archives at is recorded as CLOCKSS[10].
  • Data Mining and Knowledge Discovery's country of origin is recorded as United States[11].
  • +1997-01-01T00:00:00Z marks the founding of Data Mining and Knowledge Discovery[12].
  • Data Mining and Knowledge Discovery's Freebase ID is recorded as /m/05q7fwb[13].
  • Data Mining and Knowledge Discovery's official website is recorded as http://www.springer.com/computer/database+management+&+information+retrieval/journal/10618[14].
  • Data Mining and Knowledge Discovery's official website is recorded as http://dx.doi.org/10.1007/10618.1573-756X[15].
  • Data Mining and Knowledge Discovery's main subject is recorded as data mining[16].
  • Data Mining and Knowledge Discovery's NLM Unique ID is recorded as 101512456[17].
  • Data Mining and Knowledge Discovery's ERA Journal ID is recorded as 17829[18].
  • Data Mining and Knowledge Discovery's Library of Congress item ID is recorded as sn98038132[19].
  • Data Mining and Knowledge Discovery's Scopus source ID is recorded as 13579[20].
  • Data Mining and Knowledge Discovery's CODEN is recorded as DMKDFD[21].
  • Data Mining and Knowledge Discovery's ISO 4 abbreviation is recorded as Data Min. Knowl. Discov.[22].
  • Data Mining and Knowledge Discovery's Danish Bibliometric Research Indicator level is recorded as 2[23].
  • Data Mining and Knowledge Discovery's Danish Bibliometric Research Indicator is recorded as 1467[24].
  • Data Mining and Knowledge Discovery's JUFO ID is recorded as 54536[25].
  • Data Mining and Knowledge Discovery's title is recorded as Data Mining and Knowledge Discovery[26].
  • Data Mining and Knowledge Discovery's Dialnet journal ID is recorded as 402[27].

Why It Matters

Data Mining and Knowledge Discovery ranks in the top 3% of scientific_journal entities by monthly Wikipedia readership (1 views/month).[2]

References

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

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [4] ↑ . wikidata.org.
  3. [5] ↑ . wikidata.org.
  4. [6] ↑ . wikidata.org.
  5. [7] ↑ . wikidata.org.
  6. [8] ↑ . ISSN Portal. wikidata.org.
  7. [9] ↑ . wikidata.org.
  8. [10] ↑ . wikidata.org.
  9. [11] ↑ . ISSN Portal. wikidata.org.
  10. [12] ↑ . wikidata.org.
  11. [13] ↑ . wikidata.org.
  12. [14] ↑ . wikidata.org.
  13. [15] ↑ . ISSN Portal. wikidata.org.
  14. [16] ↑ . wikidata.org.
  15. [17] ↑ . wikidata.org.
  16. [18] ↑ . ERA 2010 journal list. wikidata.org.
  17. [19] ↑ . wikidata.org.
  18. [20] ↑ . Scopus. wikidata.org.
  19. [21] ↑ . wikidata.org.
  20. [22] ↑ . wikidata.org.
  21. [23] ↑ . BFI 2012 journal list. wikidata.org.
  22. [24] ↑ . BFI 2012 journal list. wikidata.org.
  23. [25] ↑ . wikidata.org.
  24. [26] ↑ . ISSN Portal. wikidata.org.
  25. [27] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

Aggregate / graph-position facts

  1. [2] ↑ . Wikimedia Foundation. dumps.wikimedia.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Data Mining and Knowledge Discovery. Retrieved October 14, 2026, from https://4ort.xyz/entity/data-mining-and-knowledge-discovery
MLA “Data Mining and Knowledge Discovery.” 4ort.xyz Knowledge Graph, 4ort.xyz, 14 Oct. 2026, https://4ort.xyz/entity/data-mining-and-knowledge-discovery.
BibTeX @misc{4ortxyz_data-mining-and-knowledge-discovery_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Data Mining and Knowledge Discovery}}, year = {2026}, url = {https://4ort.xyz/entity/data-mining-and-knowledge-discovery}, note = {Accessed: 2026-10-14}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Data Mining and Knowledge Discovery — https://4ort.xyz/entity/data-mining-and-knowledge-discovery (retrieved 2026-10-14)

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