Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Business Information Processing (LNBIP, volume 208)
Included in the following conference series:
Conference proceedings info: BIS 2015.
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Table of contents (28 papers)
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Front Matter
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Big and Smart Data
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Front Matter
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Content Retrieval and Filtering
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Front Matter
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Business Process Management and Mining
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Front Matter
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Other volumes
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Business Information Systems
Keywords
About this book
This book contains the refereed proceedings of the 18th International Conference on Business Information Systems, BIS 2015, held in Poznań, Poland, in June 2015. The BIS conference series follows trends in academic and business research; thus, the theme of the BIS 2015 conference was “Making Big Data Smarter.” Big data is now a fairly mature concept, recognized and widely used by professionals in both research and industry. Together, they work on developing more adequate and efficient tools for data processing and analyzing, thus turning "big data" into "smart data."
The 26 revised full papers were carefully reviewed and selected from 70 submissions. In addition, two invited papers are included in this book. They are grouped into sections on big and smart data, semantic technologies, content retrieval and filtering, business process management and mining, collaboration, enterprise architecture and business−IT alignment, specific BIS applications, and open data for BIS.
Editors and Affiliations
Bibliographic Information
Book Title: Business Information Systems
Book Subtitle: 18th International Conference, BIS 2015, Poznań, Poland, June 24-26, 2015, Proceedings
Editors: Witold Abramowicz
Series Title: Lecture Notes in Business Information Processing
DOI: https://doi.org/10.1007/978-3-319-19027-3
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2015
Softcover ISBN: 978-3-319-19026-6Published: 25 June 2015
eBook ISBN: 978-3-319-19027-3Published: 15 June 2015
Series ISSN: 1865-1348
Series E-ISSN: 1865-1356
Edition Number: 1
Number of Pages: XV, 352
Number of Illustrations: 81 b/w illustrations
Topics: Data Mining and Knowledge Discovery, Business Information Systems, Computer Appl. in Administrative Data Processing, Artificial Intelligence, Enterprise Architecture, Information Systems Applications (incl. Internet)