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Data Scientist: The Engineer of the Future · Study

WorkData Scientist: The Engineer of the Future

Wil M. P. van der Aalst2014

Work2014

Data Scientist: The Engineer of the Future

Wil M. P. van der Aalst

142 citations·0/0 files stored·Proceedings of the I-ESA Conference

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Big Data Technologies and Applications Big Data and Business Intelligence Information Retrieval and Data Mining

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References

2011Big data: The next frontier for innovation, competition, and productivity 2011Process Mining 2011Process Mining: Discovery, Conformance and Enhancement of Business Processes 2011The World’s Technological Capacity to Store, Communicate, and Compute Information 2012Motivating salespeople: what really works.2012How to Measure the World's Technological Capacity to Communicate, Store, and Compute Information Part I: Results and Scope

Cited by

2020A global supply chain risk management framework: An application of text-mining to identify region-specific supply chain risks 2020Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction 2015Extracting Event Data from Databases to Unleash Process Mining 2015Processes Meet Big Data: Connecting Data Science with Process Science 2015Scalable Process Discovery with Guarantees 2016Impact-Driven Process Model Repair 2022Der Glaube an Big Data

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Details

Year2014

Typeother

Published2014-01-01

VenueProceedings of the I-ESA Conference

ISSN-L2199-2533

Languageen

Citations142

Files0 public / 0

ShelfBig Data Technologies and Applications

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doi10.1007/978-3-319-04948-9_2

openalex_workW2096458486

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2018

The human side of big data: Understanding the skills of the data scientist in education and industry