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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 A Synthetic Minority Oversampling Method Based on Local Densities in Low-Dimensional Space for Imbalanced Learning
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    Chapter 2 Fast and Scalable Outlier Detection with Approximate Nearest Neighbor Ensembles
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    Chapter 3 Rare Category Exploration on Linear Time Complexity
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    Chapter 4 FP-CPNNQ: A Filter-Based Protocol for Continuous Probabilistic Nearest Neighbor Query
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    Chapter 5 Efficient Queries Evaluation on Block Independent Disjoint Probabilistic Databases
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    Chapter 6 Parallel Top- k Query Processing on Uncertain Strings Using MapReduce
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    Chapter 7 Tracing Errors in Probabilistic Databases Based on the Bayesian Network
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    Chapter 8 Mining Frequent Spatial-Textual Sequence Patterns
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    Chapter 9 Effective and Interpretable Document Classification Using Distinctly Labeled Dirichlet Process Mixture Models of von Mises-Fisher Distributions
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    Chapter 10 MPTM: A Topic Model for Multi-Part Documents
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    Chapter 11 Retaining Rough Diamonds: Towards a Fairer Elimination of Low-Skilled Workers
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    Chapter 12 Skyline Trips of Multiple POIs Categories
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    Chapter 13 Keyword-Aware Dominant Route Search for Various User Preferences
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    Chapter 14 Spatial Keyword Range Search on Trajectories
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    Chapter 15 TOF: A Throughput Oriented Framework for Spatial Queries Processing in Multi-core Environment
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    Chapter 16 Identifying and Caching Hot Triples for Efficient RDF Query Processing
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    Chapter 17 History-Pattern Implementation for Large-Scale Dynamic Multidimensional Datasets and Its Evaluations
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    Chapter 18 Scalagon: An Efficient Skyline Algorithm for All Seasons
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    Chapter 19 Towards Order-Preserving SubMatrix Search and Indexing
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    Chapter 20 Large-Scale Multi-party Counting Set Intersection Using a Space Efficient Global Synopsis
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    Chapter 21 Improved Weighted Bloom Filter and Space Lower Bound Analysis of Algorithms for Approximated Membership Querying
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    Chapter 22 Tree Contraction for Compressed Suffix Arrays on Modern Processors
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    Chapter 23 Scalable Top- $$ k$$ Spatial Image Search on Road Networks
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    Chapter 24 An Efficient Method to Find the Optimal Social Trust Path in Contextual Social Graphs
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    Chapter 25 Pricing Strategies for Maximizing Viral Advertising in Social Networks
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    Chapter 26 Boosting Financial Trend Prediction with Twitter Mood Based on Selective Hidden Markov Models
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    Chapter 27 k-Consistent Influencers in Network Data
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    Chapter 28 Analyzing Electric Vehicle Energy Consumption Using Very Large Data Sets
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    Chapter 29 Interactive, Flexible, and Generic What-If Analyses Using In-Memory Column Stores
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    Chapter 30 Energy Efficient Scheduling of Fine-Granularity Tasks in a Sensor Cloud
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    Chapter 31 Invariant Event Tracking on Social Networks
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    Chapter 32 EmoTrend: Emotion Trends for Events
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    Chapter 33 A Restaurant Recommendation System by Analyzing Ratings and Aspects in Reviews
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    Chapter 34 ENRS: An Effective Recommender System Using Bayesian Model
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    Chapter 35 EPSCS: Simulating and Measuring Energy Proportionality of Server Clusters
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    Chapter 36 MAVis: A Multiple Microblogs Analysis and Visualization Tool
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Citations

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Title
Database Systems for Advanced Applications
Published by
Springer International Publishing, April 2015
DOI 10.1007/978-3-319-18123-3
ISBNs
978-3-31-918122-6, 978-3-31-918123-3
Editors

Renz, Matthias, Shahabi, Cyrus, Zhou, Xiaofang, Cheema, Muhammad Aamir

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

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 23%
Student > Master 3 23%
Professor > Associate Professor 2 15%
Researcher 1 8%
Unknown 4 31%
Readers by discipline Count As %
Computer Science 8 62%
Engineering 1 8%
Unknown 4 31%