Search Results for Machine learning.

13 sonuç bulundu

Tümünü Seç

1 2

000000000000DEFAULTTR

Disruptive Analytics Charting Your Strategy for Next-Generation Business Analytics

Yazar

Dinsmore, Thomas W. author.

http://dx.doi.org/10.1007/978-1-4842-1311-7

Format:

Electronic Resources

Alıntı:

Real Time -- Chapter 7: Analytics in the Cloud -- Chapter 8: Machine Learning -- Chapter 9

Perspectives in Business Informatics Research 17th International Conference, BIR 2018, Stockholm, Sweden, September 24-26, 2018, Proceedings

Yazar

Zdravkovic, Jelena. editor. (orcid)0000-0002-0870-0330

https://doi.org/10.1007/978-3-319-99951-7

Format:

Electronic Resources

Alıntı:

Machine Learning -- Business and Information Systems Development -- A projection-based approach for

The Internet of Things in the Industrial Sector Security and Device Connectivity, Smart Environments, and Industry 4.0

Yazar

Mahmood, Zaigham. editor.

https://doi.org/10.1007/978-3-030-24892-5

Format:

Electronic Resources

Alıntı:

real-time data. The underlying technologies include distributed computing, machine learning, artificial

Research and Practical Issues of Enterprise Information Systems 11th IFIP WG 8.9 Working Conference, CONFENIS 2017, Shanghai, China, October 18-20, 2017, Revised Selected Papers

Yazar

Tjoa, A Min. editor. (orcid)0000-0002-8295-9252

https://doi.org/10.1007/978-3-319-94845-4

Format:

Electronic Resources

Alıntı:

-- Pattern Discovery from Big Data of Food Sampling Inspections Based on Extreme Learning Machine -- Big Data

Information Systems Engineering in Responsible Information Systems CAiSE Forum 2019, Rome, Italy, June 3–7, 2019, Proceedings

Yazar

Cappiello, Cinzia. editor. (orcid)0000-0001-6062-5174

https://doi.org/10.1007/978-3-030-21297-1

Format:

Electronic Resources

Alıntı:

Support Machine Learning -- Analyzing User Behavior in Search Process Models -- User-Centered and

Business Information Systems 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II

Yazar

Abramowicz, Witold. editor. (orcid)0000-0001-5464-9698

https://doi.org/10.1007/978-3-030-20482-2

Format:

Electronic Resources

Alıntı:

Semantic Models and Deep Learning -- Enhancing Supply Chain Risk Management by Applying Machine Learning to

E-Technologies: Embracing the Internet of Things 7th International Conference, MCETECH 2017, Ottawa, ON, Canada, May 17-19, 2017, Proceedings

Yazar

Aïmeur, Esma. editor.

https://doi.org/10.1007/978-3-319-59041-7

Format:

Electronic Resources

Alıntı:

; security, privacy and trust; process modeling and adaptation; data analytics and machine learning; and

Global Perspectives on Service Science: Japan

Yazar

Kwan, Stephen K. editor.

http://dx.doi.org/10.1007/978-1-4939-3594-9

Format:

Electronic Resources

Alıntı:

Orchestration Platform -- Formalizing expert knowledge through machine learning -- Agent-based Simulation for

Internetworked World 15th Workshop on e-Business, WeB 2016, Dublin, Ireland, December 10, 2016, Revised Selected Papers

Yazar

Fan, Ming. editor.

https://doi.org/10.1007/978-3-319-69644-7

Format:

Electronic Resources

Alıntı:

Composition for Service Delivery Using a Hybrid Workforce -- The Performance Evaluation of Machine Learning

10.

Business Information Systems 21st International Conference, BIS 2018, Berlin, Germany, July 18-20, 2018, Proceedings

Yazar

Abramowicz, Witold. editor.

https://doi.org/10.1007/978-3-319-93931-5

Format:

Electronic Resources

Alıntı:

: Towards a New Understanding of Quality Assurance Using Machine Learning Tools -- Business and Enterprise

11.

Business and Consumer Analytics: New Ideas

Yazar

Moscato, Pablo. editor.

https://doi.org/10.1007/978-3-030-06222-4

Format:

Electronic Resources

Alıntı:

ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning

12.

Business Information Systems 22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part I

Yazar

Abramowicz, Witold. editor. (orcid)0000-0001-5464-9698

https://doi.org/10.1007/978-3-030-20485-3

Format:

Electronic Resources

Alıntı:

Regression -- An Effective Machine Learning Framework for Data Elements Extraction from the Literature of

	{displayName}	{count}
{error}