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Author European Business Intelligence Summer School (2nd : 2012 : Brussels, Belgium)

Title Business intelligence : second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures / Marie-Aude Aufaure, Esteban Zimányi (eds.)
Published Berlin ; New York : Springer, [2013]
©2013
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Description 1 online resource
Series Lecture notes in business information processing, 1865-1348 ; 138
Lecture notes in business information processing ; 138
Contents Managing Complex Multidimensional Data / Torben Bach Pedersen -- An Introduction to Business Process Modeling / Alejandro Vaisman -- Machine Learning Strategies for Time Series Forecasting / Gianluca Bontempi, Souhaib Ben Taieb, Yann-Aël Le Borgne -- Knowledge Discovery from Constrained Relational Data: A Tutorial on Markov Logic Networks / Marcus Spies -- Large Graph Mining: Recent Developments, Challenges and Potential Solutions / Sabri Skhiri, Salim Jouili -- Big Data Analytics on Modern Hardware Architectures: A Technology Survey / Michael Saecker, Volker Markl -- An Introduction to Multicriteria Decision Aid: The PROMETHEE and GAIA Methods / Yves De Smet, Karim Lidouh -- Knowledge Harvesting for Business Intelligence / Nesrine Ben Mustapha, Marie-Aude Aufaure -- Business Semantics as an Interface between Enterprise Information Management and the Web of Data: A Case Study in the Flemish Public Administration / Christophe Debruyne, Pieter De Leenheer
Summary To large organizations, business intelligence (BI) promises the capability of collecting and analyzing internal and external data to generate knowledge and value, thus providing decision support at the strategic, tactical, and operational levels. BI is now impacted by the "Big Data" phenomena and the evolution of society and users. In particular, BI applications must cope with additional heterogeneous (often Web-based) sources, e.g., from social networks, blogs, competitors', suppliers', or distributors' data, governmental or NGO-based analysis and papers, or from research publications. In addition, they must be able to provide their results also on mobile devices, taking into account location-based or time-based environmental data. The lectures held at the Second European Business Intelligence Summer School (eBISS), which are presented here in an extended and refined format, cover not only established BI and BPM technologies, but extend into innovative aspects that are important in this new environment and for novel applications, e.g., machine learning, logic networks, graph mining, business semantics, large-scale data management and analysis, and multicriteria and collaborative decision making. Combining papers by leading researchers in the field, this volume equips the reader with the state-of-the-art background necessary for creating the future of BI. It also provides the reader with an excellent basis and many pointers for further research in this growing field
Analysis Economics
Computational complexity
Computer science
Database management
Information storage and retrieval systems
Management information systems
Economics/Management Science
Business Information Systems
Computer Appl. in Administrative Data Processing
Subject Management information systems -- Congresses.
Business -- Data processing -- Congresses.
Data mining -- Congresses.
Business intelligence -- Congresses.
Electronic Data Processing.
Commerce.
Data Mining.
Management Information Systems.
Genre/Form Conference papers and proceedings.
Congress.
Conference papers and proceedings.
Form Electronic book
Author Aufaure, Marie-Aude.
Zimányi, Esteban.
ISBN 9783642363184 (electronic bk.)
3642363180 (electronic bk.)
Other Titles EBISS 2012