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Wyld, David C. [Editor]; Nagamalai, Dhinaharan [Editor] ; International Conference on Data Mining & Machine Learning 3. 2022 Kopenhagen

3rd International Conference on Data Mining & Machine Learning (DMML 2022)/11th International Conference on Software Engineering and Applications (SEAS 2022)/9th International Conference on Advanced Computing (ADCO 2022)/3rd International Conference on NLP & Information Retrieval (NLPI 2022)/8th International Conference on Signal Processing (SP 2022)/3rd International Conference on Big Data, Blockchain and Security (BDBS 2022)/11th International Conference on Control, Modelling, Computing and Applications (CMCA 2022)/8th International Conference on Computer Science, Information Technology (CSITEC 2022)

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  • Media type: E-Book; Conference Proceedings
  • Title: 3rd International Conference on Data Mining & Machine Learning (DMML 2022)/11th International Conference on Software Engineering and Applications (SEAS 2022)/9th International Conference on Advanced Computing (ADCO 2022)/3rd International Conference on NLP & Information Retrieval (NLPI 2022)/8th International Conference on Signal Processing (SP 2022)/3rd International Conference on Big Data, Blockchain and Security (BDBS 2022)/11th International Conference on Control, Modelling, Computing and Applications (CMCA 2022)/8th International Conference on Computer Science, Information Technology (CSITEC 2022)
  • Contributor: Wyld, David C. [HerausgeberIn]; Nagamalai, Dhinaharan [HerausgeberIn]
  • imprint: [Chennai, Tamil Nadu, India]: AIRCC Publishing Corporation, April 2022
  • Published in: Computer science & information technology ; 12,07
  • Extent: 1 Online-Ressource (208 Seiten); Illustrationen
  • Language: English
  • ISBN: 9781925953664
  • Keywords: Konferenzschrift
  • Origination:
  • Footnote: Doppelte Bandzählung - gleichzeitig Band 167 der Schriftenreihe
    "Data Mining and Machine Learning" - erste Seite des Dokuments
    Literaturangaben
    Veranstaltungsdaten und -ort konnten dem Vorwort entnommen werden
  • Access State: Open Access