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Database Systems for Advanced Applications

Overview of attention for book
Cover of 'Database Systems for Advanced Applications'

Table of Contents

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    Book Overview
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    Chapter 1 Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective
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    Chapter 2 Attributed Network Embedding with Micro-meso Structure
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    Chapter 3 An Efficient Exact Nearest Neighbor Search by Compounded Embedding
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    Chapter 4 BASSI: Balance and Status Combined Signed Network Embedding
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    Chapter 5 Geographical Relevance Model for Long Tail Point-of-Interest Recommendation
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    Chapter 6 Exploiting Context Graph Attention for POI Recommendation in Location-Based Social Networks
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    Chapter 7 Restricted Boltzmann Machine Based Active Learning for Sparse Recommendation
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    Chapter 8 Discrete Binary Hashing Towards Efficient Fashion Recommendation
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    Chapter 9 Learning Dual Preferences with Non-negative Matrix Tri-Factorization for Top- N Recommender System
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    Chapter 10 Low-Rank and Sparse Cross-Domain Recommendation Algorithm
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    Chapter 11 Cross-Domain Recommendation for Cold-Start Users via Neighborhood Based Feature Mapping
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    Chapter 12 K-Connected Cores Computation in Large Dual Networks
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    Chapter 13 Graph Clustering with Local Density-Cut
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    Chapter 14 External Topological Sorting in Large Graphs
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    Chapter 15 Finding All Nearest Neighbors with a Single Graph Traversal
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    Chapter 16 Towards Efficient Path Skyline Computation in Bicriteria Networks
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    Chapter 17 Answering Why-Not Questions on Structural Graph Clustering
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    Chapter 18 SSRW: A Scalable Algorithm for Estimating Graphlet Statistics Based on Random Walk
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    Chapter 19 Multi-metric Graph Query Performance Prediction
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    Chapter 20 A Privacy-Preserving Framework for Subgraph Pattern Matching in Cloud
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    Chapter 21 Adaptive and Parallel Data Acquisition from Online Big Graphs
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    Chapter 22 Answering the Why-Not Questions of Graph Query Autocompletion
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    Chapter 23 Exploiting Reshaping Subgraphs from Bilateral Propagation Graphs
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    Chapter 24 Sample Location Selection for Efficient Distance-Aware Influence Maximization in Geo-Social Networks
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    Chapter 25 Identifying Topical Opinion Leaders in Social Community Question Answering
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    Chapter 26 Personalized Geo-Social Group Queries in Location-Based Social Networks
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    Chapter 27 Tracking Dynamic Magnet Communities: Insights from a Network Perspective
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    Chapter 28 Discovering Strong Communities with User Engagement and Tie Strength
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    Chapter 29 Functional-Oriented Relationship Strength Estimation: From Online Events to Offline Interactions
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    Chapter 30 Incremental and Adaptive Topic Detection over Social Media
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    Chapter 31 Incorporating User Grouping into Retweeting Behavior Modeling
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    Chapter 32 Maximizing Social Influence for the Awareness Threshold Model
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    Chapter 33 A Time-Aware Path-Based Publish/Subscribe Framework
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    Chapter 34 Direction Recovery in Undirected Social Networks Based on Community Structure and Popularity
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    Chapter 35 Detecting Top- k Active Inter-Community Jumpers in Dynamic Information Networks
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    Chapter 36 Distributed In-Memory Analytics for Big Temporal Data
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    Chapter 37 Scalable Active Constrained Clustering for Temporal Data
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    Chapter 38 Nearest Subspace with Discriminative Regularization for Time Series Classification
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    Chapter 39 Efficient Approximate Subsequence Matching Using Hybrid Signatures
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    Chapter 40 MDTK: Bandwidth-Saving Framework for Distributed Top- k Similar Trajectory Query
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    Chapter 41 Modeling Travel Behavior Similarity with Trajectory Embedding
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    Chapter 42 MaxBR k NN Queries for Streaming Geo-Data
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    Chapter 43 Free-Rider Episode Screening via Dual Partition Model
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    Chapter 44 Maximize Spatial Influence of Facility Bundle Considering Reverse k Nearest Neighbors
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    Chapter 45 A Road-Aware Neural Network for Multi-step Vehicle Trajectory Prediction
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    Chapter 46 Secure Data Aggregation with Integrity Verification in Wireless Sensor Networks
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    Chapter 47 A Parallel Spatial Co-location Pattern Mining Approach Based on Ordered Clique Growth
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    Chapter 48 Multi-query Optimization in Federated RDF Systems
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    Chapter 49 Distributed Efficient Provenance-Aware Regular Path Queries on Large RDF Graphs
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    Chapter 50 Discovering Graph Patterns for Fact Checking in Knowledge Graphs
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    Chapter 51 KAT: Keywords-to-SPARQL Translation Over RDF Graphs
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    Chapter 52 A Scalable Framework for Stylometric Analysis of Multi-author Documents
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    Chapter 53 Is a Common Phrase an Entity Mention or Not? Dual Representations for Domain-Specific Named Entity Recognition
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    Chapter 54 Recognizing Textual Entailment with Attentive Reading and Writing Operations
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    Chapter 55 Interpreting Fine-Grained Categories from Natural Language Queries of Entity Search
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    Chapter 56 Improving Short Text Modeling by Two-Level Attention Networks for Sentiment Classification
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    Chapter 57 Efficient and Scalable Mining of Frequent Subgraphs Using Distributed Graph Processing Systems
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    Chapter 58 Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal
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    Chapter 59 Online Subset Topic Modeling for Interactive Documents Exploration
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    Chapter 60 Main Point Generator: Summarizing with a Focus
Attention for Chapter 30: Incremental and Adaptive Topic Detection over Social Media
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Chapter title
Incremental and Adaptive Topic Detection over Social Media
Chapter number 30
Book title
Database Systems for Advanced Applications
Published by
Springer, Cham, May 2018
DOI 10.1007/978-3-319-91452-7_30
Book ISBNs
978-3-31-991451-0, 978-3-31-991452-7
Authors

Konstantinos Giannakopoulos, Lei Chen, Giannakopoulos, Konstantinos, Chen, Lei

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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 %
Student > Ph. D. Student 3 33%
Professor 1 11%
Other 1 11%
Student > Master 1 11%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 4 44%
Physics and Astronomy 1 11%
Engineering 1 11%
Unknown 3 33%

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