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Proceedings of the 7th International Conference on Emerging Databases

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Cover of 'Proceedings of the 7th International Conference on Emerging Databases'

Table of Contents

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    Book Overview
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    Chapter 1 Optimizing MongoDB Using Multi-streamed SSD
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    Chapter 2 Quadrant-Based MBR-Tree Indexing Technique for Range Query Over HBase
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    Chapter 3 Migration from RDBMS to Column-Oriented NoSQL: Lessons Learned and Open Problems
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    Chapter 4 Personalized Social Search Based on User Context Analysis
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    Chapter 5 Dynamic Partitioning of Large Scale RDF Graph in Dynamic Environments
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    Chapter 6 Efficient Combined Algorithm for Multiplication and Squaring for Fast Exponentiation over Finite Fields $$GF(2^{m})$$
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    Chapter 7 Efficient Processing of Alternating Least Squares on a Single Machine
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    Chapter 8 Parallel Compression of Weighted Graphs
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    Chapter 9 An Efficient Subgraph Compression-Based Technique for Reducing the I/O Cost of Join-Based Graph Mining Algorithms
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    Chapter 10 Smoothing of Trajectory Data Recorded in Harsh Environments and Detection of Outlying Trajectories
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    Chapter 11 SSDMiner: A Scalable and Fast Disk-Based Frequent Pattern Miner
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    Chapter 12 A Study on Adjustable Dissimilarity Measure for Efficient Piano Learning
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    Chapter 13 A Mapping Model to Match Context Sensing Data to Related Sentences
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    Chapter 14 Understanding User’s Interests in NoSQL Databases in Stack Overflow
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    Chapter 15 MultiPath MultiGet: An Optimized Multiget Method Leveraging SSD Internal Parallelism
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    Chapter 16 An Intuitive and Efficient Web Console for AsterixDB
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    Chapter 17 Who Is Answering to Whom? Finding “Reply-To” Relations in Group Chats with Long Short-Term Memory Networks
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    Chapter 18 Search & Update Optimization of a B $$^+$$ Tree in a Hardware Aided Semantic Web Database System
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    Chapter 19 Multiple Domain-Based Spatial Keyword Query Processing Method Using Collaboration of Multiple IR-Trees
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    Chapter 20 Exploring a Supervised Learning Based Social Media Business Sentiment Index
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    Chapter 21 Data and Visual Analytics for Emerging Databases
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    Chapter 22 A Method to Maintain Item Recommendation Equality Among Equivalent Items in Recommender Systems
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    Chapter 23 Time-Series Analysis for Price Prediction of Opportunistic Cloud Computing Resources
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    Chapter 24 Block-Incremental Deep Learning Models for Timely Up-to-Date Learning Results
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    Chapter 25 Harmonic Mean Based Soccer Team Formation Problem
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    Chapter 26 Generating a New Dataset for Korean Scene Text Recognition with Augmentation Techniques
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    Chapter 27 Markov Regime-Switching Models for Stock Returns Along with Exchange Rates and Interest Rates in Korea
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    Chapter 28 A New Method for Portfolio Construction Using a Deep Predictive Model
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    Chapter 29 Personalized Information Visualization of Online Product Reviews
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    Chapter 30 A Trail Detection Using Convolutional Neural Network
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    Chapter 31 Design of Home IoT System Based on Mobile Messaging Applications
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    Chapter 32 A Design of Group Recommendation Mechanism Considering Opportunity Cost and Personal Activity Using Spark Framework
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    Chapter 33 EEUM: Explorable and Expandable User-Interactive Model for Browsing Bibliographic Information Networks
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    Chapter 34 Proximity and Direction-Based Subgroup Familiarity-Analysis Model
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    Chapter 35 Music Recommendation with Temporal Dynamics in Multiple Types of User Feedback
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    Chapter 36 Effectively and Efficiently Supporting Encrypted OLAP Queries over Big Data: Models, Issues, Challenges
Overall attention for this book and its chapters
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Title
Proceedings of the 7th International Conference on Emerging Databases
Published by
Springer, Singapore, January 2018
DOI 10.1007/978-981-10-6520-0
ISBNs
978-9-81-106519-4, 978-9-81-106520-0
Editors

Wookey Lee, Wonik Choi, Sungwon Jung, Min Song

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Researcher 2 25%
Student > Bachelor 2 25%
Lecturer 1 13%
Readers by discipline Count As %
Computer Science 5 63%
Economics, Econometrics and Finance 1 13%
Social Sciences 1 13%
Medicine and Dentistry 1 13%