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control field |
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005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310151128.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
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fixed length control field |
130125s2013 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783642363184 |
|
978-3-642-36318-4 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
HF54.5-54.56 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
650 |
Edition number |
23 |
264 #1 - |
-- |
Berlin, Heidelberg : |
-- |
Springer Berlin Heidelberg : |
-- |
Imprint: Springer, |
-- |
2013. |
912 ## - |
-- |
ZDB-2-SCS |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Aufaure, Marie-Aude. |
Relator term |
editor. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Business Intelligence |
Medium |
[electronic resource] : |
Remainder of title |
Second European Summer School, eBISS 2012, Brussels, Belgium, July 15-21, 2012, Tutorial Lectures / |
Statement of responsibility, etc |
edited by Marie-Aude Aufaure, Esteban Zimányi. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
X, 235 p. 83 illus. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
Lecture Notes in Business Information Processing, |
International Standard Serial Number |
1865-1348 ; |
Volume number/sequential designation |
138 |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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. |
520 ## - SUMMARY, ETC. |
Summary, etc |
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. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Economics. |
|
Topical term or geographic name as entry element |
Computational complexity. |
|
Topical term or geographic name as entry element |
Computer science. |
|
Topical term or geographic name as entry element |
Database management. |
|
Topical term or geographic name as entry element |
Information storage and retrieval systems. |
|
Topical term or geographic name as entry element |
Information systems. |
|
Topical term or geographic name as entry element |
Management information systems. |
|
Topical term or geographic name as entry element |
Economics/Management Science. |
|
Topical term or geographic name as entry element |
Business Information Systems. |
|
Topical term or geographic name as entry element |
Computer Appl. in Administrative Data Processing. |
|
Topical term or geographic name as entry element |
Database Management. |
|
Topical term or geographic name as entry element |
Information Storage and Retrieval. |
|
Topical term or geographic name as entry element |
Discrete Mathematics in Computer Science. |
|
Topical term or geographic name as entry element |
Probability and Statistics in Computer Science. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Zimányi, Esteban. |
Relator term |
editor. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9783642363177 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-642-36318-4 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |