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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 Target-Oriented Keyword Search over Temporal Databases
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    Chapter 2 General Purpose Index-Based Method for Efficient MaxRS Query
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    Chapter 3 An Efficient Method for Identifying MaxRS Location in Mobile Ad Hoc Networks
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    Chapter 4 Discovering Periodic-Frequent Patterns in Transactional Databases Using All-Confidence and Periodic-All-Confidence
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    Chapter 5 More Efficient Algorithms for Mining High-Utility Itemsets with Multiple Minimum Utility Thresholds
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    Chapter 6 Mining Minimal High-Utility Itemsets
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    Chapter 7 Automated k-Anonymization and l-Diversity for Shared Data Privacy
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    Chapter 8 Context-Based Risk-Adaptive Security Model and Conflict Management
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    Chapter 9 Modeling Information Diffusion via Reputation Estimation
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    Chapter 10 Mining Arbitrary Shaped Clusters and Outputting a High Quality Dendrogram
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    Chapter 11 Hierarchically Clustered LSH for Hierarchical Outliers Detection
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    Chapter 12 Incorporating Clustering into Set Similarity Join Algorithms: The SjClust Framework
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    Chapter 13 “Overloaded!” — A Model-Based Approach to Database Stress Testing
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    Chapter 14 A Cost Model for DBaaS Storage
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    Chapter 15 A Query Processing Framework for Array-Based Computations
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    Chapter 16 Creative Expert System: Result of Inference and Machine Learning Integration
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    Chapter 17 A Reverse Nearest Neighbor Based Active Semi-supervised Learning Method for Multivariate Time Series Classification
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    Chapter 18 Leveraging Structural Hierarchy for Scalable Network Comparison
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    Chapter 19 Incremental Stream Processing of Nested-Relational Queries
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    Chapter 20 Incremental Continuous Query Processing over Streams and Relations with Isolation Guarantees
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    Chapter 21 An Improved Method of Keyword Search over Relational Data Streams by Aggressive Candidate Network Consolidation
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    Chapter 22 Evolutionary Database Design: Enhancing Data Abstraction Through Database Modularization to Achieve Graceful Schema Evolution
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    Chapter 23 Summary Generation for Temporal Extractions
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    Chapter 24 SuMGra: Querying Multigraphs via Efficient Indexing
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    Chapter 25 Re-constructing Hidden Semantic Data Models by Querying SPARQL Endpoints
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    Chapter 26 A New Formal Approach to Semantic Parsing of Instructions and to File Manager Design
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    Chapter 27 Ontology-Based Deep Restricted Boltzmann Machine
Attention for Chapter 16: Creative Expert System: Result of Inference and Machine Learning Integration
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Chapter title
Creative Expert System: Result of Inference and Machine Learning Integration
Chapter number 16
Book title
Database and Expert Systems Applications
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-44403-1_16
Book ISBNs
978-3-31-944402-4, 978-3-31-944403-1
Authors

Bartlomiej Sniezynski, Grzegorz Legien, Dorota Wilk-Kołodziejczyk, Stanislawa Kluska-Nawarecka, Edward Nawarecki, Krzysztof Jaśkowiec

Editors

Sven Hartmann, Hui Ma

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X Demographics

The data shown below were collected from the profiles of 3 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 %
Brazil 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 21%
Student > Doctoral Student 2 14%
Other 1 7%
Professor 1 7%
Student > Bachelor 1 7%
Other 0 0%
Unknown 6 43%
Readers by discipline Count As %
Computer Science 5 36%
Environmental Science 1 7%
Business, Management and Accounting 1 7%
Engineering 1 7%
Unknown 6 43%