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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 Meme Media and Knowledge Federation for Exploratory Visual Analytics of Big Data
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    Chapter 2 Online Data Clustering Using Variational Learning of a Hierarchical Dirichlet Process Mixture of Dirichlet Distributions
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    Chapter 3 Distributed Skyline Computation of Vertically Splitted Databases by Using MapReduce
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    Chapter 4 Short-Term Speed Prediction on Urban Highways by Ensemble Learning with Feature Subset Selection
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    Chapter 5 Graph Summarization Using Word Correlation Analysis on Large Set of Documents
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    Chapter 6 Distributed K-Distance Indexing Approach for Efficient Shortest Path Discovery on Large Graphs
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    Chapter 7 Customized Information Interface with Web Applications
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    Chapter 8 Leveraging Enterprise Application Characteristics to Optimize Incremental Aggregate Maintenance in a Columnar In-Memory Database
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    Chapter 9 MaiterStore: A Hot-Aware, High-Performance Key-Value Store for Graph Processing
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    Chapter 10 Vertical Bit-Packing: Optimizing Operations on Bit-Packed Vectors Leveraging SIMD Instructions
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    Chapter 11 Efficient Streaming Detection of Hidden Clusters in Big Data Using Subspace Stream Clustering
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    Chapter 12 A Comparison of Systems to Large-Scale Data Access
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    Chapter 13 A Framework to Measure Storage Utilization in Cloud Storage Systems
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    Chapter 14 Personalized Recommendation via Relevance Propagation on Social Tagging Graph
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    Chapter 15 Optimizing Pipelined Execution for Distributed In-Memory OLAP System
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    Chapter 16 Hash $$^{ed}$$ -Join: Approximate String Similarity Join with Hashing
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    Chapter 17 Minimizing Explanations of Why-Not Questions
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    Chapter 18 HadoopM: A Message-Enabled Data Processing System on Large Clusters
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    Chapter 19 AntiqueData: A Proxy to Maintain Computational Transparency in Cloud
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    Chapter 20 Monitoring Query Processing in Mobile Robot Databases
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    Chapter 21 Efficiently Evaluating Range-Constrained Spatial Keyword Query on Road Networks
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    Chapter 22 A Spatial-Temporal Analysis of Users’ Geographical Patterns in Social Media: A Case Study on Microblogs
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    Chapter 23 Solving Multiple Bichromatic Mutual Nearest Neighbor Queries with the GPU
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    Chapter 24 A Kernel Density Method for Aggregating Boundary Collision Data into Areal Units
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    Chapter 25 Integrated Indoor Positioning with Mobile Devices for Location-Based Service Applications
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    Chapter 26 A Hybrid Scale-Out Cloud-Based Data Service for Worldwide Sensors
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    Chapter 27 Uncertainty in Crowd Data Sourcing Under Structural Constraints
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    Chapter 28 Integration of Web Sources Under Uncertainty and Dependencies Using Probabilistic XML
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    Chapter 29 Skill Ontology-Based Model for Quality Assurance in Crowdsourcing
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    Chapter 30 ProbKS: Keyword Search on Probabilistic Spatial Data
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    Chapter 31 Towards Mobile Sensor-Aware Crowdsourcing: Architecture, Opportunities and Challenges
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    Chapter 32 Conditioning Probabilistic Relational Data with Referential Constraints
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Title
Database Systems for Advanced Applications
Published by
Springer Berlin Heidelberg, January 2014
DOI 10.1007/978-3-662-43984-5
ISBNs
978-3-66-243983-8, 978-3-66-243984-5
Editors

Han, Wook-Shin, Lee, Mong Li, Muliantara, Agus, Sanjaya, Ngurah Agus, Thalheim, Bernhard, Zhou, Shuigeng

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

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 11%
Unknown 8 89%
Readers by discipline Count As %
Computer Science 1 11%
Unknown 8 89%