Business Intelligence : 4th European Summer School, eBISS 2014, Berlin, Germany, July 6-11, 2014, Tutorial Lectures / edited by Esteban Zimányi, Ralf-Detlef Kutsche.

Contributor(s):

Material type: Text

TextLanguage: İngilizce Series: Lecture Notes in Business Information Processing ; 205Publisher: Cham : Springer International Publishing : Imprint: Springer, 2015Description: 1 online resourceContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9783319175515

Subject(s):

LOC classification:

QA76.9.D343

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Springer eBooks Online access link to the resource

Contents:

On the Complexity of Requirements Engineering for Decision-Support Systems: The CID Case Study -- Multi-perspective Analysis of Mobile Phone Call Data Records: A Visual Analytics Approach -- From the Web of Documents to the Linked Data -- A Survey on Supervised Classification on Data Streams -- Knowledge Reuse: Survey of Existing Techniques and Classification Approach.

Summary: This book constitutes the tutorial lectures of the 4th European Business Intelligence Summer School, eBISS 2014, held in Berlin, Germany, in July 2014. The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including requirements engineering for decision-support systems, visual analytics of large data sets, linked data and semantic technologies, supervised classification on data streams, and knowledge reuse in large organizations.

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Item type	Current library	Home library	Collection	Call number	Status	Notes	Date due	Barcode
E-Book	Merkez Kütüphane	Merkez Kütüphane	E-Kitap Koleksiyonu	QA76.9.D343EBK (Browse shelf(Opens below))	Geçerli değil-e-Kitap / Not applicable-e-Book	BİL		EBK00167

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This book constitutes the tutorial lectures of the 4th European Business Intelligence Summer School, eBISS 2014, held in Berlin, Germany, in July 2014. The tutorials presented here in an extended and refined format were given by renowned experts and cover topics including requirements engineering for decision-support systems, visual analytics of large data sets, linked data and semantic technologies, supervised classification on data streams, and knowledge reuse in large organizations.

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