Springer » stm computer sciences » The Science of Service Systems
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The Science of Service Systems

Publisher

Springer Science+Business Media

Series

Service Science: Research and Innovations in the Service Economy

Design
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Towards Digital Enlightenment
Emerging Dynamics
Galileo Galilei
21st Century Economics
The Dawn of Science
Mario Bunge
Feeling Smarter and Smarter
Whisky Science
Future Foods
Science on the Ropes
Guide to Dynamic Simulations of Rigid Bodies
Orchestrating Human-Centered Design
Fundamentals of||Business Process Management
Universal Navigation for Smart Phones
Reinventing Ourselves
Computional Structures and Algorithms for Association Rules
Guide to Biometrics for Large-Scale Systems
Guide to HTML, JavaScript and PHP
Guide to Teaching Computer Science
Guide to e-Science
Social Media Modeling and Computing
Change Management for ||Semantic Web Services
Computer Vision-guided Virtual Craniofacial Surgery
Geospatial Semantics||and the Semantic Web
Preserving Privacy in Data Outsourcing
Designing Interfaces in Public Settings
Practical Studies in E-Government
Service Composition||for the Semantic Web
Conditionals and Modularity in General Logics
Web Data Mining
Social Network Data Analytics
The Science of Service Systems
Real-Time Systems
Data Driven e-Science
Handbook of Natural Language Processing and Machine Translation
Tile-Based Geospatial Information Systems
Current Challenges in ||Patent Information Retrieval
Architecture Principles
Semantic Web Servcies
Community-Built Databases
Analysis and Design of Advice
Advanced Digital Preservation
Triadic Game Design
Electronic Value Exchange
Sketch-based Interfaces and Modeling
Identity-Based Encryption
Ranking Queries on Uncertain Data
Principles of ||Distributed Database Systems
Genetic Programming||Theory and Practice VIII
Inductive Databases and||Constraint-Based Data Mining
Web Mining and Social Networking
Handbook of Open Source Tools
Quantum Attacks on||Public-Key Cryptosystems
Information Retrieval ||Architecture and Algorithms
Linking Enterprise Data
Evolutionary Optimization: ||the µGP toolkit