Business Intelligence (Record no. 57090)

000 -LEADER
fixed length control field 03974nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-3-319-05461-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421112049.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140320s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319054612
-- 978-3-319-05461-2
082 04 - CLASSIFICATION NUMBER
Call Number 650
082 04 - CLASSIFICATION NUMBER
Call Number 658.05
245 10 - TITLE STATEMENT
Title Business Intelligence
Sub Title Third European Summer School, eBISS 2013, Dagstuhl Castle, Germany, July 7-12, 2013, Tutorial Lectures /
300 ## - PHYSICAL DESCRIPTION
Number of Pages IX, 243 p. 95 illus.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Business Information Processing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction to Pattern Mining -- Process Mining in the Large: A Tutorial -- Ontology-Driven Business Intelligence for Comparative Data Analysis -- Open Access Semantic Aware Business Intelligence -- Transparent Forecasting Strategies in Database Management Systems -- On Index Structures for Star Query Processing in Data Warehouses -- Intelligent Wizard for Human Language Interaction in Business Intelligence.
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 Third 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., pattern and process mining, business semantics, Linked Open Data, and large-scale data management and analysis. 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--SUBJECT 1
General subdivision Data processing.
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Author 2 Zim�anyi, Esteban.
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Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-319-05461-2
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Koha item type eBooks
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-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
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-- txt
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Business.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information technology.
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-- Business
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-- Mathematical statistics.
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-- Data mining.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information storage and retrieval.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Application software.
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-- Business and Management.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- IT in Business.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Information Storage and Retrieval.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computer Appl. in Administrative Data Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Probability and Statistics in Computer Science.
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-- 1865-1348 ;
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