Business Intelligence Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures - nieuw boek

EAN (ISBN-13): 9783642363177
ISBN (ISBN-10): 3642363172
Gebonden uitgave
pocket book
Verschijningsjaar: 2013
Uitgever: Springer Berlin

Boek bevindt zich in het datenbestand sinds 2014-10-10T08:31:05+02:00 (Amsterdam)
Detailpagina laatst gewijzigd op 2023-12-29T08:01:01+01:00 (Amsterdam)
ISBN/EAN: 9783642363177

ISBN - alternatieve schrijfwijzen:
3-642-36317-2, 978-3-642-36317-7
alternatieve schrijfwijzen en verwante zoekwoorden:
Auteur van het boek: marie, zima, esteban, aude
Titel van het boek: bus, business, intelligence, the tutorial, brussels, summer school, 2012

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Gegevens van de uitgever

Auteur: Marie-Aude Aufaure; Esteban Zimányi
Titel: Lecture Notes in Business Information Processing; Business Intelligence - Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures
Uitgeverij: Springer; Springer Berlin
235 Bladzijden
Verschijningsjaar: 2013-01-11
Berlin; Heidelberg; DE
Gedrukt / Gemaakt in
Taal: Engels
53,49 € (DE)
54,99 € (AT)
59,00 CHF (CH)
POD
X, 235 p. 83 illus.

BC; Hardcover, Softcover / Wirtschaft/Allgemeines, Lexika; Wirtschaftsmathematik und -informatik, IT-Management; Verstehen; BPEL; BPMN; Bayesian Networks; Big Data; Business Intelligence; Business Process Management; Business Semantics; Data Warehouses; Graph Mining; Machine Learning; MapReduce; Markov Logic Networks; Multicriteria Decision Making; OLAP; Online Analytical Processing; Ontologies; IT in Business; Computer Application in Administrative Data Processing; Database Management; Information Storage and Retrieval; Discrete Mathematics in Computer Science; Probability and Statistics in Computer Science; Unternehmensanwendungen; Computer-Anwendungen in den Sozial- und Verhaltenswissenschaften; Datenbanken; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Mathematik für Informatiker; Diskrete Mathematik; Wahrscheinlichkeitsrechnung und Statistik; EA

Managing Complex Multidimensional Data.- An Introduction to Business Process Modeling.- Machine Learning Strategies for Time Series Forecasting.- Knowledge Discovery from Constrained Relational Data: A Tutorial on Markov Logic Networks.- Large Graph Mining: Recent Developments, Challenges and Potential Solutions.- Big Data Analytics on Modern Hardware Architectures: A Technology Survey.- An Introduction to Multicriteria Decision Aid: The PROMETHEE and GAIA Methods.- Knowledge Harvesting for Business Intelligence.- Business Semantics as an Interface between Enterprise Information Management and the Web of Data: A Case Study in the Flemish Public Administration.
Concise and comprehensive introduction to business intelligence (BI) Combines traditional BI technologies with new topics such as business semantics, Big Data analysis, and multicriteria decision making Includes recent developments in underlying basic technologies such as machine learning, logic networks, and graph mining Contributions conjointly written by leading academic researchers and industrial developers, striving for both high relevance and real-world applicability