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Database and Expert Systems Applications

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Cover of 'Database and Expert Systems Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Generating k -Anonymous Microdata by Fuzzy Possibilistic Clustering
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    Chapter 2 Lightweight Privacy-Preserving Task Assignment in Skill-Aware Crowdsourcing
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    Chapter 3 Clustering Heuristics for Efficient t -closeness Anonymisation
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    Chapter 4 A QoS-Aware Web Service Composition Approach Based on Genetic Programming and Graph Databases
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    Chapter 5 Combining Web-Service and Rule-Based Systems to Implement a Reliable DRG-Solution
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    Chapter 6 Usage-Aware Service Identification for Architecture Migration of Object-Oriented Systems to SoA
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    Chapter 7 On Computing Temporal Aggregates over Null Time Intervals
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    Chapter 8 A Continuous Query Language for Stream-Based Artifacts
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    Chapter 9 Past Indeterminacy in Data Warehouse Design
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    Chapter 10 A Case for Term Weighting Using a Dictionary on GPUs
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    Chapter 11 Process and Tool-Support to Collaboratively Formalize Statutory Texts by Executable Models
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    Chapter 12 A Bayesian Approach for Semantic Search Based on DAG-Shaped Ontologies
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    Chapter 13 Indexing Multiple-Instance Objects
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    Chapter 14 Novel Indexing Strategy and Similarity Measures for Gaussian Mixture Models
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    Chapter 15 A Concurrency Control Protocol that Selects Accessible Replicated Pages to Avoid Latch Collisions for B-Trees in Manycore Environments
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    Chapter 16 Non-order-preserving Index for Encrypted Database Management System
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    Chapter 17 A Variety-Sensitive ETL Processes
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    Chapter 18 Integrating the R Language Runtime System with a Data Stream Warehouse
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    Chapter 19 Cleaning Out Web Spam by Entropy-Based Cascade Outlier Detection
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    Chapter 20 Logical Schema for Data Warehouse on Column-Oriented NoSQL Databases
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    Chapter 21 PALM : A Parallel Mining Algorithm for Extracting Maximal Frequent Conceptual Links from Social Networks
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    Chapter 22 Learning Interactions from Web Service Logs
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    Chapter 23 Data Driven Generation of Synthetic Data with Support Vector Data Description
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    Chapter 24 Conversion Rate Estimation in Online Advertising via Exploring Potential Impact of Creative
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    Chapter 25 A NoSQL Data-Based Personalized Recommendation System for C2C e-Commerce
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    Chapter 26 Recommending Diverse and Personalized Travel Packages
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    Chapter 27 Association Rule Based Approach to Improve Diversity of Query Recommendations
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    Chapter 28 How to Find the Best Rated Items on a Likert Scale and How Many Ratings Are Enough
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    Chapter 29 Itinerary Planning with Category Constraints Using a Probabilistic Approach
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    Chapter 30 Minimizing Negative Influence in Social Networks: A Graph OLAP Based Approach
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    Chapter 31 Hypergraph Drawing by Force-Directed Placement
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    Chapter 32 A Fast Heuristic for Finding Near-Optimal Groups for Vehicle Platooning in Road Networks
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    Chapter 33 F-SED: Feature-Centric Social Event Detection
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    Chapter 34 Generating Fake but Realistic Headlines Using Deep Neural Networks
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    Chapter 35 Qualitative AHP Method Based on Multiple Criteria Levels Under Group of Experts
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    Chapter 36 Exploit Label Embeddings for Enhancing Network Classification
Overall attention for this book and its chapters
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Citations

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Title
Database and Expert Systems Applications
Published by
Springer International Publishing, September 2017
DOI 10.1007/978-3-319-64471-4
ISBNs
978-3-31-964470-7, 978-3-31-964471-4
Editors

Benslimane, Djamal, Damiani, Ernesto, Grosky, William I., Hameurlain, Abdelkader, Sheth, Amit, Wagner, Roland R.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 21%
Researcher 2 14%
Lecturer 1 7%
Student > Master 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 6 43%
Readers by discipline Count As %
Computer Science 5 36%
Engineering 2 14%
Unknown 7 50%