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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 A Preference-Driven Database Approach to Reciprocal User Recommendations in Online Social Networks
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    Chapter 2 Community Detection in Multi-relational Bibliographic Networks
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    Chapter 3 Quality Prediction in Collaborative Platforms: A Generic Approach by Heterogeneous Graphs
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    Chapter 4 Analyzing Relationships of Listed Companies with Stock Prices and News Articles
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    Chapter 5 Approximate Semantic Matching over Linked Data Streams
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    Chapter 6 A Mapping-Based Method to Query MongoDB Documents with SPARQL
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    Chapter 7 Incremental Maintenance of Materialized SPARQL-Based Linkset Views
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    Chapter 8 Aggregate Reverse Rank Queries
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    Chapter 9 Abstract-Concrete Relationship Analysis of News Events Based on a 5W Representation Model
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    Chapter 10 Detecting Maximum Inclusion Dependencies without Candidate Generation
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    Chapter 11 Footprint Reduction and Uniqueness Enforcement with Hash Indices in SAP HANA
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    Chapter 12 Benchmarking Replication in Cassandra and MongoDB NoSQL Datastores
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    Chapter 13 τJSchema: A Framework for Managing Temporal JSON-Based NoSQL Databases
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    Chapter 14 Enhancing Similarity Search Throughput by Dynamic Query Reordering
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    Chapter 15 Creating a Music Recommendation and Streaming Application for Android
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    Chapter 16 A Score Fusion Method Using a Mixture Copula
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    Chapter 17 Axiomatic Term-Based Personalized Query Expansion Using Bookmarking System
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    Chapter 18 A Relevance-Focused Search Application for Personalised Ranking Model
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    Chapter 19 Aggregated Search over Personal Process Description Graph
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    Chapter 20 Inferring Lurkers’ Gender by Their Interest Tags
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    Chapter 21 Data Access Based on Faceted Queries over Ontologies
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    Chapter 22 Incremental and Directed Rule-Based Inference on RDFS
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    Chapter 23 Top-k Matching Queries for Filter-Based Profile Matching in Knowledge Bases
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    Chapter 24 FETA: Federated QuEry TrAcking for Linked Data
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    Chapter 25 Dynamic Power-Aware Disk Storage Management in Database Servers
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    Chapter 26 FR-Index: A Multi-dimensional Indexing Framework for Switch-Centric Data Centers
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    Chapter 27 Unsupervised Learning for Detecting Refactoring Opportunities in Service-Oriented Applications
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    Chapter 28 A Survey on Visual Query Systems in the Web Era
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    Chapter 29 Query Similarity for Approximate Query Answering
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    Chapter 30 Generalized Maximal Consistent Answers in P2P Deductive Databases
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    Chapter 31 Computing Range Skyline Query on Uncertain Dimension
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    Chapter 32 Aging Locality Awareness in Cost Estimation for Database Query Optimization
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    Chapter 33 Constructing Data Graphs for Keyword Search
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    Chapter 34 Generating Pseudo Search History Data in the Absence of Real Search History
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    Chapter 35 Variable-Chromosome-Length Genetic Algorithm for Time Series Discretization
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    Chapter 36 Approximate Temporal Aggregation with Nearby Coalescing
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    Chapter 37 A Data Model for Determining Weather’s Impact on Travel Time
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    Chapter 38 Simplify the Design of XML Schemas by Type Dependencies
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    Chapter 39 An Efficient Initialization Method for Probabilistic Relational Databases
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    Chapter 40 Erratum to: Aging Locality Awareness in Cost Estimation for Database Query Optimization
Attention for Chapter 35: Variable-Chromosome-Length Genetic Algorithm for Time Series Discretization
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Chapter title
Variable-Chromosome-Length Genetic Algorithm for Time Series Discretization
Chapter number 35
Book title
Database and Expert Systems Applications
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-44406-2_35
Book ISBNs
978-3-31-944405-5, 978-3-31-944406-2
Authors

Muhammad Marwan Muhammad Fuad

Editors

Sven Hartmann, Hui Ma

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 50%
Lecturer 1 50%
Other 1 50%
Readers by discipline Count As %
Computer Science 2 100%
Neuroscience 1 50%