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Software and Data Technologies

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Cover of 'Software and Data Technologies'

Table of Contents

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    Book Overview
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    Chapter 1 Adaptive Integration of Enterprise and B2B Applications
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    Chapter 2 Ambient Intelligence: Basic Concepts and Applications
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    Chapter 3 How to Quantify Quality: Finding Scales of Measure
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    Chapter 4 Software and Data Technologies
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    Chapter 5 Engineering Object and Agent Methodologies
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    Chapter 6 From Static to Dynamic Process Types
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    Chapter 7 Aspectboxes: Controlling the Visibility of Aspects
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    Chapter 8 On State Classes and Their Dynamic Semantics
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    Chapter 9 Software Implementation of the IEEE 754R Decimal Floating-Point Arithmetic
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    Chapter 10 Bridging between Middleware Systems: Optimisations Using Downloadable Code
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    Chapter 11 MDE for BPM: A Systematic Review
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    Chapter 12 Exploring Feasibility of Software Defects Orthogonal Classification
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    Chapter 13 Mapping Medical Device Standards Against the CMMI for Configuration Management
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    Chapter 14 A Systematic Review Measurement in Software Engineering: State-of-the-Art in Measures
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    Chapter 15 Engineering a Component Language: CompJava
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    Chapter 16 Towards a Quality Model for Grid Portals
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    Chapter 17 Algorithmic Skeletons for Branch and Bound
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    Chapter 18 A Hybrid Topology Architecture for P2P File Sharing Systems
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    Chapter 19 Parallel Processing of “Group-By Join” Queries on Shared Nothing Machines
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    Chapter 20 Impact of Wrapped System Call Mechanism on Commodity Processors
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    Chapter 21 Adding More Support for Associations to the ODMG Object Model
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    Chapter 22 Measuring Effectiveness of Computing Facilities in Academic Institutes: A New Solution for a Difficult Problem
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    Chapter 23 Combining Information Extraction and Data Integration in the ESTEST System
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    Chapter 24 Introducing a Change-Resistant Framework for the Development and Deployment of Evolving Applications
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    Chapter 25 Smart Business Objects for Web Applications: A New Approach to Model Business Objects
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    Chapter 26 A Data Mining Approach to Learning Probabilistic User Behavior Models from Database Access Log
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    Chapter 27 Approximate Reasoning to Learn Classification Rules
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    Chapter 28 Combining Metaheuristics for the Job Shop Scheduling Problem with Sequence Dependent Setup Times
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    Chapter 29 A Description Clustering Data Mining Technique for Heterogeneous Data
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    Chapter 30 A Pattern Selection Algorithm in Kernel PCA Applications
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Title
Software and Data Technologies
Published by
Springer, Berlin, Heidelberg, January 2006
DOI 10.1007/978-3-540-70621-2
ISBNs
978-3-54-070619-9, 978-3-54-070621-2
Editors

Joaquim Filipe, Boris Shishkov, Markus Helfert

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X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 6%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 10%
Professor 1 3%
Unspecified 1 3%
Student > Doctoral Student 1 3%
Other 1 3%
Other 0 0%
Unknown 24 77%
Readers by discipline Count As %
Computer Science 5 16%
Unspecified 1 3%
Unknown 25 81%