Characterizing Machine Learning Processes: A Maturity Framework-Reference-Cited by-同舟云学术

Characterizing Machine Learning Processes: A Maturity Framework

Published:2020 Issue: Volume: Page:17-31
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Akkiraju Rama,Sinha Vibha,Xu Anbang,Mahmud Jalal,Gundecha Pritam,Liu Zhe,Liu Xiaotong,Schumacher John

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-58666-9_2

Reference7 articles.

1. Humphrey, W.S.: Characterizing the software process: a maturity framework. IEEE Softw. 5(2), 73–79 (1988)

2. Braun, H.T.: Evaluation of big data maturity models–a benchmarking study to support big data maturity assessment in organizations (2015)

3. Halper, F., Krishnan, K.: TDWi big data maturity model guide. Interpreting your assessment score. TDWI Research 1, 16 (2013)

4. Nott, C.: A maturity model for big data and analytics. IBM (2015). https://www.ibm.com/developerworks/community/blogs/bigdataanalytics/entry/A_maturity_model_for_big_data_and_analytics?lang=en_us

5. Schmarzo, B.: Big data business model maturity index guide. Dell EMC (2016). https://infocus.dellemc.com/william_schmarzo/big-data-business-model-maturity-index-guide/

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