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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 HIMM: An HMM-Based Interactive Map-Matching System
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    Chapter 2 HyMU: A Hybrid Map Updating Framework
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    Chapter 3 Multi-objective Spatial Keyword Query with Semantics
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    Chapter 4 RSkycube: Efficient Skycube Computation by Reusing Principle
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    Chapter 5 Similarity Search Combining Query Relaxation and Diversification
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    Chapter 6 An Unsupervised Approach for Low-Quality Answer Detection in Community Question-Answering
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    Chapter 7 Approximate OLAP on Sustained Data Streams
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    Chapter 8 Hierarchical Semantic Representations of Online News Comments for Emotion Tagging Using Multiple Information Sources
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    Chapter 9 Towards a Query-Less News Search Framework on Twitter
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    Chapter 10 Semantic Definition Ranking
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    Chapter 11 An Improved Approach for Long Tail Advertising in Sponsored Search
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    Chapter 12 Locating Longest Common Subsequences with Limited Penalty
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    Chapter 13 Top-k String Auto-Completion with Synonyms
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    Chapter 14 Efficient Regular Expression Matching on Compressed Strings
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    Chapter 15 Mining Top-k Distinguishing Temporal Sequential Patterns from Event Sequences
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    Chapter 16 Soft Quorums: A High Availability Solution for Service Oriented Stream Systems
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    Chapter 17 StroMAX: Partitioning-Based Scheduler for Real-Time Stream Processing System
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    Chapter 18 Partition-Based Clustering with Sliding Windows for Data Streams
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    Chapter 19 CBP: A New Parallelization Paradigm for Massively Distributed Stream Processing
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    Chapter 20 Measuring and Maximizing Influence via Random Walk in Social Activity Networks
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    Chapter 21 Adaptive Overlapping Community Detection with Bayesian NonNegative Matrix Factorization
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    Chapter 22 A Unified Approach for Learning Expertise and Authority in Digital Libraries
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    Chapter 23 Efficient Local Clustering Coefficient Estimation in Massive Graphs
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    Chapter 24 Efficient Processing of Growing Temporal Graphs
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    Chapter 25 Effective k-Vertex Connected Component Detection in Large-Scale Networks
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    Chapter 26 Efficient Landmark-Based Candidate Generation for kNN Queries on Road Networks
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    Chapter 27 MinSum Based Optimal Location Query in Road Networks
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    Chapter 28 Efficiently Mining High Utility Co-location Patterns from Spatial Data Sets with Instance-Specific Utilities
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    Chapter 29 Supporting Real-Time Analytic Queries in Big and Fast Data Environments
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    Chapter 30 Boosting Moving Average Reversion Strategy for Online Portfolio Selection: A Meta-learning Approach
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    Chapter 31 Continuous Summarization over Microblog Threads
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    Chapter 32 Drawing Density Core-Sets from Incomplete Relational Data
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    Chapter 33 Co-training an Improved Recurrent Neural Network with Probability Statistic Models for Named Entity Recognition
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    Chapter 34 EtherQL: A Query Layer for Blockchain System
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    Chapter 35 Optimizing Scalar User-Defined Functions in In-Memory Column-Store Database Systems
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    Chapter 36 GPS-Simulated Trajectory Detection
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    Chapter 37 Predicting Academic Performance via Semi-supervised Learning with Constructed Campus Social Network
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    Chapter 38 Social User Profiling: A Social-Aware Topic Modeling Perspective
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    Chapter 39 Cost-Effective Data Partition for Distributed Stream Processing System
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    Chapter 40 A Graph-Based Push Service Platform
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    Chapter 41 Edge Influence Computation in Dynamic Graphs
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    Chapter 42 DKGBuilder: An Architecture for Building a Domain Knowledge Graph from Scratch
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    Chapter 43 CLTR: Collectively Linking Temporal Records Across Heterogeneous Sources
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    Chapter 44 PhenomenaAssociater: Linking Multi-domain Spatio-Temporal Datasets
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    Chapter 45 VisDM–A Data Stream Visualization Platform
Overall attention for this book and its chapters
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4 patents

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Title
Database Systems for Advanced Applications
Published by
Springer, Cham, January 2017
DOI 10.1007/978-3-319-55699-4
ISBNs
978-3-31-955698-7, 978-3-31-955699-4
Editors

Selçuk Candan, Lei Chen, Torben Bach Pedersen, Lijun Chang, Wen Hua

X Demographics

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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 21%
Student > Ph. D. Student 3 16%
Lecturer 1 5%
Student > Bachelor 1 5%
Unknown 10 53%
Readers by discipline Count As %
Computer Science 9 47%
Engineering 1 5%
Unknown 9 47%