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Knowledge Discovery and Data Mining

ACM SIGKDD conference series
Event academic_conference_series Q66305862
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Knowledge Discovery and Data Mining

Summary

Knowledge Discovery and Data Mining is an academic conference series[1].

Key Facts

  • Knowledge Discovery and Data Mining's instance of is recorded as academic conference series[2].
  • Knowledge Discovery and Data Mining's VIAF cluster ID is recorded as 365149196253874790299[3].
  • Knowledge Discovery and Data Mining's GND ID is recorded as 1091856028[4].
  • Knowledge Discovery and Data Mining's Library of Congress authority ID is recorded as n95110849[5].
  • +1995-00-00T00:00:00Z marks the founding of Knowledge Discovery and Data Mining[6].
  • Knowledge Discovery and Data Mining's official website is recorded as http://www.kdd.org/[7].
  • Knowledge Discovery and Data Mining's main subject is recorded as data mining[8].
  • Knowledge Discovery and Data Mining's title is recorded as ACM SIGKDD Conference on Knowledge Discovery and Data Mining[9].
  • Knowledge Discovery and Data Mining's short name is recorded as KDD[10].
  • Knowledge Discovery and Data Mining's ACM Digital Library event ID is recorded as RE329[11].
  • Knowledge Discovery and Data Mining's WikiCFP conference series ID is recorded as 1901[12].
  • Knowledge Discovery and Data Mining's Microsoft Academic ID is recorded as 1130985203[13].
  • Knowledge Discovery and Data Mining's ACM conference ID is recorded as kdd[14].
  • Knowledge Discovery and Data Mining's National Library of Israel J9U ID is recorded as 987011427767605171[15].
  • Knowledge Discovery and Data Mining's DBLP venue ID is recorded as conf/kdd[16].

References

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

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.
  2. [3] ↑ . lobid-gnd. Retrieved . wikidata.org.
  3. [4] ↑ . lobid-gnd. Retrieved . wikidata.org.
  4. [5] ↑ . Integrated Authority File. Retrieved . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . openresearch.org. Retrieved . openresearch.org. Provenance: wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . dblp computer science bibliography. Retrieved . dblp.org. Provenance: wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . Microsoft Academic. Retrieved . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . National Library of Israel Names and Subjects Authority File. wikidata.org.
  15. [16] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.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). Knowledge Discovery and Data Mining. Retrieved May 3, 2026, from https://4ort.xyz/entity/knowledge-discovery-and-data-mining
MLA “Knowledge Discovery and Data Mining.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/knowledge-discovery-and-data-mining.
BibTeX @misc{4ortxyz_knowledge-discovery-and-data-mining_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Knowledge Discovery and Data Mining}}, year = {2026}, url = {https://4ort.xyz/entity/knowledge-discovery-and-data-mining}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Knowledge Discovery and Data Mining — https://4ort.xyz/entity/knowledge-discovery-and-data-mining (retrieved 2026-05-03)

Canonical URL: https://4ort.xyz/entity/knowledge-discovery-and-data-mining · Last refreshed: