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Advances in Intelligent Process-Aware Information Systems Concepts, Methods, and Technologies

Grambow, Gregor. editor.

http://dx.doi.org/10.1007/978-3-319-52181-7

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Business -- Data processing.

Advances in Business ICT: New Ideas from Ongoing Research

Pełech-Pilichowski, Tomasz. editor.

http://dx.doi.org/10.1007/978-3-319-47208-9

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Business -- Data processing.

Cover image for Advances in Intelligent Systems and Computing Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine

Advances in Intelligent Systems and Computing Selected Papers from the International Conference on Computer Science and Information Technologies, CSIT 2016, September 6-10 Lviv, Ukraine

Shakhovska, Natalya. editor.

http://dx.doi.org/10.1007/978-3-319-45991-2

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Business -- Data processing.

Hard and Soft Computing for Artificial Intelligence, Multimedia and Security

Kobayashi, Shin-ya. editor.

http://dx.doi.org/10.1007/978-3-319-48429-7

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and soft computational methods for artificial intelligence, image and data processing, and finally

Business Models and ICT Technologies for the Fashion Supply Chain Proceedings of IT4Fashion 2016

Rinaldi, Rinaldo. editor.

http://dx.doi.org/10.1007/978-3-319-48511-9

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of application domains are covered, processing of big data coming from digital and social media

Cover image for Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation Real and Near Real Time Analysis and Decision Making System

Business Resilience System (BRS): Driven Through Boolean, Fuzzy Logics and Cloud Computation Real and Near Real Time Analysis and Decision Making System

Zohuri, Bahman. author.

http://dx.doi.org/10.1007/978-3-319-53417-6

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physical setup of BRS, with its Risk Atom and Processing Data Point (PDP) core; • Presents a comprehensive

Proceedings of the International Conference on Data Engineering and Communication Technology ICDECT 2016, Volume 1

Satapathy, Suresh Chandra. editor.

http://dx.doi.org/10.1007/978-981-10-1675-2

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Hierarchical Bisecting Min Max Clustering Algorithm -- Chapter 58. Open Source Big Data Analytics Technique

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