Enterprise information systems : 19th International Conference, ICEIS 2017, Porto, Portugal, April 26-29, 2017, revised selected papers /

This book constitutes extended and revised papers from the 19th International Conference on Enterprise Information Systems, ICEIS 2017, held in Porto, Portugal, in April 2017. The 28 papers presented in this volume were carefully reviewed and selected for inclusion in this book from a total of 318 s...

Full description

Saved in:
Bibliographic Details
Corporate Authors: International Conference on Enterprise Information Systems Porto, Portugal
Group Author: Hammoudi, Slimane; Śmiałek, Michał; Camp, Olivier; Filipe, Joaquim
Published: Springer,
Publisher Address: Cham, Switzerland :
Publication Dates: [2018]
Literature type: Book
Language: English
Series: Lecture notes in business information processing, 321
Subjects:
Summary: This book constitutes extended and revised papers from the 19th International Conference on Enterprise Information Systems, ICEIS 2017, held in Porto, Portugal, in April 2017. The 28 papers presented in this volume were carefully reviewed and selected for inclusion in this book from a total of 318 submissions. They were organized in topical sections named: databases and information systems integration; artificial intelligence and decision support systems; information systems analysis and specification; software agents and internet computing; human-computer interaction; and enterprise archite
Carrier Form: xvii, 632 pages : illustrations ; 24 cm.
Bibliography: Includes bibliographical references and author index.
ISBN: 9783319933740
3319933744
Index Number: T58
CLC: C931.6-532
F270.7-532
Call Number: F270.7-532/I613-2/2017
Contents: Databases and Information Systems Integration -- Towards a Framework for Aiding the Collaborative Management of Informal Projects -- Using a Time-based Weighting Criterion to Enhance Link Prediction in Social Networks -- Professional Competence Identification through Formal Concept Analysis -- Data Quality Problems in TPC-DI based Data Integration Processes -- Efficient Filter-based Algorithms for Exact Set Similarity Join on GPUs -- Experimenting and Assessing a Probabilistic Business Process Deviance Mining Framework based on Ensemble Learning -- Artificial Intelligence and Decision Suppor