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Database Systems for Advanced Applications

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Cover of 'Database Systems for Advanced Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Cost Minimization and Social Fairness for Spatial Crowdsourcing Tasks
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    Chapter 2 Crowdsourced Query Processing on Microblogs
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    Chapter 3 Effective Result Inference for Context-Sensitive Tasks in Crowdsourcing
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    Chapter 4 CrowdAidRepair: A Crowd-Aided Interactive Data Repairing Method
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    Chapter 5 Crowdsourcing-Enhanced Missing Values Imputation Based on Bayesian Network
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    Chapter 6 One-Pass Inconsistency Detection Algorithms for Big Data
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    Chapter 7 Domain-Specific Entity Linking via Fake Named Entity Detection
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    Chapter 8 CTextEM: Using Consolidated Textual Data for Entity Matching
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    Chapter 9 Entity Matching Across Multiple Heterogeneous Data Sources
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    Chapter 10 Probabilistic Maximal Frequent Itemset Mining Over Uncertain Databases
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    Chapter 11 Anytime OPTICS: An Efficient Approach for Hierarchical Density-Based Clustering
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    Chapter 12 Efficiently Mining Homomorphic Patterns from Large Data Trees
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    Chapter 13 Database Systems for Advanced Applications
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    Chapter 14 Deep Convolutional Neural Network Based Regression Approach for Estimation of Remaining Useful Life
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    Chapter 15 Multiple-Instance Learning with Evolutionary Instance Selection
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    Chapter 16 Exploiting Human Mobility Patterns for Gas Station Site Selection
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    Chapter 17 Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective
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    Chapter 18 Joint User Attributes and Item Category in Factor Models for Rating Prediction
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    Chapter 19 Expert Recommendation in Time-Sensitive Online Shopping
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    Chapter 20 Temporal Recommendation via Modeling Dynamic Interests with Inverted-U-Curves
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    Chapter 21 Point-Of-Interest Recommendation Using Temporal Orientations of Users and Locations
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    Chapter 22 TGTM: Temporal-Geographical Topic Model for Point-of-Interest Recommendation
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    Chapter 23 Modeling User Mobility via User Psychological and Geographical Behaviors Towards Point of-Interest Recommendation
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    Chapter 24 Local Weighted Matrix Factorization for Implicit Feedback Datasets
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    Chapter 25 Exploring the Choice Under Conflict for Social Event Participation
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    Chapter 26 PBA: Partition and Blocking Based Alignment for Large Knowledge Bases
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    Chapter 27 Knowledge Graph Completion via Local Semantic Contexts
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    Chapter 28 Cross-Lingual Type Inference
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    Chapter 29 Benchmarking Semantic Capabilities of Analogy Querying Algorithms
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    Chapter 30 Deep Learning Based Topic Identification and Categorization: Mining Diabetes-Related Topics on Chinese Health Websites
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    Chapter 31 An Adaptive Approach of Approximate Substring Matching
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    Chapter 32 Joint Probability Consistent Relation Analysis for Document Representation
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    Chapter 33 Automated Table Understanding Using Stub Patterns
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Title
Database Systems for Advanced Applications
Published by
Springer International Publishing, January 2016
DOI 10.1007/978-3-319-32025-0
ISBNs
978-3-31-932024-3, 978-3-31-932025-0
Editors

Shamkant B. Navathe, Weili Wu, Shashi Shekhar, Xiaoyong Du, X. Sean Wang, Hui Xiong

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X Demographics

The data shown below were collected from the profile of 1 X user 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 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 83 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 12%
Student > Ph. D. Student 8 10%
Student > Bachelor 3 4%
Student > Doctoral Student 2 2%
Lecturer 2 2%
Other 4 5%
Unknown 54 65%
Readers by discipline Count As %
Engineering 14 17%
Computer Science 8 10%
Social Sciences 2 2%
Agricultural and Biological Sciences 1 1%
Arts and Humanities 1 1%
Other 0 0%
Unknown 57 69%