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New Trends in Databases and Information Systems

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Table of Contents

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    Book Overview
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    Chapter 1 New Trends in Databases and Information Systems: Contributions from ADBIS 2013
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    Chapter 2 New Ontological Alignment System Based on a Non-monotonic Description Logic
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    Chapter 3 Spatiotemporal Co-occurrence Rules
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    Chapter 4 R  + +  -Tree: An Efficient Spatial Access Method for Highly Redundant Point Data
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    Chapter 5 Labeling Association Rule Clustering through a Genetic Algorithm Approach
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    Chapter 6 Time Series Queries Processing with GPU Support
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    Chapter 7 Rule-Based Multi-dialect Infrastructure for Conceptual Problem Solving over Heterogeneous Distributed Information Resources
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    Chapter 8 Distributed Processing of XPath Queries Using MapReduce
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    Chapter 9 A Query Language for Workflow Instance Data
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    Chapter 10 When Too Similar Is Bad: A Practical Example of the Solar Dynamics Observatory Content-Based Image-Retrieval System
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    Chapter 11 Viable Systems Model Based Information Flows
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    Chapter 12 On Materializing Paths for Faster Recursive Querying
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    Chapter 13 XSLTMark II – A Simple, Extensible and Portable XSLT Benchmark
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    Chapter 14 ReMoSSA: Reference Model for Specification of Self-adaptive Service-Oriented-Architecture
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    Chapter 15 DSD: A DaaS Service Discovery Method in P2P Environments
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    Chapter 16 Designing Parallel Relational Data Warehouses: A Global, Comprehensive Approach
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    Chapter 17 Big Data New Frontiers: Mining, Search and Management of Massive Repositories of Solar Image Data and Solar Events
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    Chapter 18 Extraction, Sentiment Analysis and Visualization of Massive Public Messages
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    Chapter 19 Desidoo, a Big-Data Application to Join the Online and Real-World Marketplaces
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    Chapter 20 GraphDB – Storing Large Graphs on Secondary Memory
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    Chapter 21 Hadoop on a Low-Budget General Purpose HPC Cluster in Academia
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    Chapter 22 Discovering Contextual Association Rules in Relational Databases
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    Chapter 23 Challenges and Issues on Collecting and Analyzing Large Volumes of Network Data Measurements
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    Chapter 24 GPU-Accelerated Query Selectivity Estimation Based on Data Clustering and Monte Carlo Integration Method Developed in CUDA Environment
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    Chapter 25 Exploring the Design Space of a GPU-Aware Database Architecture
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    Chapter 26 Dynamic Compression Strategy for Time Series Database Using GPU
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    Chapter 27 Online Document Clustering Using GPUs
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    Chapter 28 Using the Semantics of Texts for Information Retrieval: A Concept- and Domain Relation-Based Approach
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    Chapter 29 A Latent Semantic Indexing-Based Approach to Determine Similar Clusters in Large-scale Schema Matching
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    Chapter 30 $ \mathcal{P}oss-\mathcal{S}\mathcal{R}\mathcal{O}\mathcal{I}\mathcal{Q}(\mathcal{D})$ : Possibilistic Description Logic Extension toward an Uncertain Geographic Ontology
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    Chapter 31 Ontology-Based Context-Aware Social Networks
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    Chapter 32 Diversity in a Semantic Recommender System
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    Chapter 33 Ontology - Driven Observer Pattern
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    Chapter 34 Towards a Semantic Data Infrastructure for Social Business Intelligence
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    Chapter 35 Subjective Business Polarization: Sentiment Analysis Meets Predictive Modeling
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    Chapter 36 Sentiment Analysis and City Branding
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    Chapter 37 A Case Study for a Collaborative Business Environment in Real Estate
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    Chapter 38 OLAP on Information Networks: A New Framework for Dealing with Bibliographic Data
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    Chapter 39 Spatial Indexes for Simplicial and Cellular Meshes
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    Chapter 40 Mathematical Methods of Tensor Factorization Applied to Recommender Systems
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    Chapter 41 Extended Dynamic Weighted Majority Using Diversity to Handle Drifts
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Citations

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165 Mendeley
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Title
New Trends in Databases and Information Systems
Published by
Springer International Publishing, August 2013
DOI 10.1007/978-3-319-01863-8
ISBNs
978-3-31-901862-1, 978-3-31-901863-8
Editors

Catania, Barbara, Cerquitelli, Tania, Chiusano, Silvia, Guerrini, Giovanna, Kämpf, Mirko, Kemper, Alfons, Novikov, Boris, Palpanas, Themis, Pokorný, Jaroslav, Vakali, Athena

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 165 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 165 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 4%
Student > Ph. D. Student 3 2%
Student > Master 3 2%
Professor > Associate Professor 2 1%
Student > Doctoral Student 2 1%
Other 3 2%
Unknown 146 88%
Readers by discipline Count As %
Computer Science 9 5%
Social Sciences 4 2%
Design 2 1%
Nursing and Health Professions 1 <1%
Business, Management and Accounting 1 <1%
Other 2 1%
Unknown 146 88%