Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science
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9783319101590, 9783319101606

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Real-Time Data Warehousing: A Rewrite/Merge Approach

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_8 ◽

2014 ◽

pp. 78-88 ◽

Cited By ~ 2

Author(s):

Alfredo Cuzzocrea ◽

Nickerson Ferreira ◽

Pedro Furtado

Keyword(s):

Real Time ◽

Data Warehousing ◽

Time Data ◽

Real Time Data

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Towards an OLAP Environment for Column-Oriented Data Warehouses

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_20 ◽

2014 ◽

pp. 221-232

Author(s):

Khaled Dehdouh ◽

Fadila Bentayeb ◽

Omar Boussaid ◽

Nadia Kabachi

Keyword(s):

Data Warehouses

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Opening up Data Analysis for Medical Health Services: Cancer Survival Analysis with CARESS

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_34 ◽

2014 ◽

pp. 382-393

Author(s):

David Korfkamp ◽

Stefan Gudenkauf ◽

Martin Rohde ◽

Eunice Sirri ◽

Joachim Kieschke ◽

...

Keyword(s):

Survival Analysis ◽

Data Analysis ◽

Health Services ◽

Cancer Survival ◽

Medical Health ◽

Opening Up

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Optimizing Reaction and Processing Times in Automotive Industry’s Quality Management

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_24 ◽

2014 ◽

pp. 266-273

Author(s):

Thomas Leitner ◽

Christina Feilmayr ◽

Wolfram Wöß

Keyword(s):

Quality Management ◽

Processing Times

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Improving the Processing of DW Star-Queries under Concurrent Query Workloads

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_22 ◽

2014 ◽

pp. 245-253 ◽

Cited By ~ 1

Author(s):

João Pedro Costa ◽

Pedro Furtado

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Interval OLAP: Analyzing Interval Data

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_21 ◽

2014 ◽

pp. 233-244 ◽

Cited By ~ 8

Author(s):

Christian Koncilia ◽

Tadeusz Morzy ◽

Robert Wrembel ◽

Johann Eder

Keyword(s):

Interval Data

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Mining Interesting “Following” Patterns from Social Networks

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_28 ◽

2014 ◽

pp. 308-319 ◽

Cited By ~ 13

Author(s):

Fan Jiang ◽

Carson Kai-Sang Leung

Keyword(s):

Social Networks

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Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_16 ◽

2014 ◽

pp. 171-182 ◽

Cited By ~ 4

Author(s):

M. Asif Naeem ◽

Gerald Weber ◽

Christof Lutteroth ◽

Gillian Dobbie

Keyword(s):

Master Data

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Semi-Supervised Learning to Support the Exploration of Association Rules

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_40 ◽

2014 ◽

pp. 452-464 ◽

Cited By ~ 1

Author(s):

Veronica Oliveira de Carvalho ◽

Renan de Padua ◽

Solange Oliveira Rezende

Keyword(s):

Supervised Learning ◽

Association Rules

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Clustering Based on Sequential Multi-Objective Games

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science ◽

10.1007/978-3-319-10160-6_33 ◽

2014 ◽

pp. 369-381

Author(s):

Imen Heloulou ◽

Mohammed Said Radjef ◽

Mohand Tahar Kechadi

Keyword(s):

Multi Objective

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Data Warehousing and Knowledge Discovery - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Real-Time Data Warehousing: A Rewrite/Merge Approach

Towards an OLAP Environment for Column-Oriented Data Warehouses

Opening up Data Analysis for Medical Health Services: Cancer Survival Analysis with CARESS

Optimizing Reaction and Processing Times in Automotive Industry’s Quality Management

Improving the Processing of DW Star-Queries under Concurrent Query Workloads

Interval OLAP: Analyzing Interval Data

Mining Interesting “Following” Patterns from Social Networks

Optimizing Queue-Based Semi-Stream Joins with Indexed Master Data

Semi-Supervised Learning to Support the Exploration of Association Rules

Clustering Based on Sequential Multi-Objective Games

Data Warehousing and Knowledge Discovery - Lecture Notes in Computer Science
Latest Publications