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Database Systems for Advanced Applications

Overview of attention for book
Database Systems for Advanced Applications
Springer Berlin Heidelberg

Table of Contents

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    Book Overview
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    Chapter 1 Knowledge on the Web: Robust and Scalable Harvesting of Entity-Relationship Facts
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    Chapter 2 Cloud Data Management @ Yahoo!
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    Chapter 3 Distributed Cache Indexing for Efficient Subspace Skyline Computation in P2P Networks
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    Chapter 4 iDISQUE: Tuning High-Dimensional Similarity Queries in DHT Networks
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    Chapter 5 Adaptive Ensemble Classification in P2P Networks
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    Chapter 6 Mining Rare Association Rules in the Datasets with Widely Varying Items’ Frequencies
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    Chapter 7 CAMLS: A Constraint-Based Apriori Algorithm for Mining Long Sequences
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    Chapter 8 PGP-mc: Towards a Multicore Parallel Approach for Mining Gradual Patterns
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    Chapter 9 Generalised Rule Mining
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    Chapter 10 Database Systems for Advanced Applications
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    Chapter 11 Effectively Inferring the Search-for Node Type in XML Keyword Search
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    Chapter 12 Database Systems for Advanced Applications
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    Chapter 13 NOVA: A Novel and Efficient Framework for Finding Subgraph Isomorphism Mappings in Large Graphs
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    Chapter 14 Efficiently Answering Probability Threshold-Based Shortest Path Queries over Uncertain Graphs
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    Chapter 15 Discovering Burst Areas in Fast Evolving Graphs
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    Chapter 16 Answering Top- k Similar Region Queries
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    Chapter 17 Efficient Approximate Visibility Query in Large Dynamic Environments
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    Chapter 18 The Objects Interaction Matrix for Modeling Cardinal Directions in Spatial Databases
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    Chapter 19 Efficient Algorithms to Monitor Continuous Constrained k Nearest Neighbor Queries
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    Chapter 20 Chasing Tree Patterns under Recursive DTDs
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    Chapter 21 Database Systems for Advanced Applications
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    Chapter 22 An Efficient Parallel PathStack Algorithm for Processing XML Twig Queries on Multi-core Systems
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    Chapter 23 Keyword Search on Hybrid XML-Relational Databases Using XRjoin
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    Chapter 24 Efficient Database-Driven Evaluation of Security Clearance for Federated Access Control of Dynamic XML Documents
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    Chapter 25 Speeding Up Complex Video Copy Detection Queries
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    Chapter 26 Efficient Skyline Maintenance for Streaming Data with Partially-Ordered Domains
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    Chapter 27 A Simple, Yet Effective and Efficient, Sliding Window Sampling Algorithm
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    Chapter 28 Detecting Leaders from Correlated Time Series
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    Chapter 29 Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces
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    Chapter 30 Mining Diversity on Networks
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    Chapter 31 Mining Regular Patterns in Data Streams
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    Chapter 32 k-ARQ: k-Anonymous Ranking Queries
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    Chapter 33 QSQL: Incorporating Logic-Based Retrieval Conditions into SQL
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    Chapter 34 k -Selection Query over Uncertain Data
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    Chapter 35 Analysis of Implicit Relations on Wikipedia: Measuring Strength through Mining Elucidatory Objects
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    Chapter 36 Summarizing and Extracting Online Public Opinion from Blog Search Results
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    Chapter 37 Cloud as Virtual Databases: Bridging Private Databases and Web Services
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    Chapter 38 Temporal Top- k Search in Social Tagging Sites Using Multiple Social Networks
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    Chapter 39 Air-Indexing on Error Prone Communication Channels
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    Chapter 40 Content-Based Multipath Routing for Sensor Networks
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    Chapter 41 Evaluating Continuous Probabilistic Queries Over Imprecise Sensor Data
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    Chapter 42 Database Systems for Advanced Applications
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    Chapter 43 Active Duplicate Detection
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    Chapter 44 FlexTable: Using a Dynamic Relation Model to Store RDF Data
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    Chapter 45 An MDL Approach to Efficiently Discover Communities in Bipartite Network
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    Chapter 46 Fires on the Web: Towards Efficient Exploring Historical Web Graphs
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    Chapter 47 Identifying Community Structures in Networks with Seed Expansion
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    Chapter 48 Dynamic Agglomerative-Divisive Clustering of Clickthrough Data for Collaborative Web Search
Attention for Chapter 48: Dynamic Agglomerative-Divisive Clustering of Clickthrough Data for Collaborative Web Search
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Chapter title
Dynamic Agglomerative-Divisive Clustering of Clickthrough Data for Collaborative Web Search
Chapter number 48
Book title
Database Systems for Advanced Applications
Published by
Springer, Berlin, Heidelberg, April 2010
DOI 10.1007/978-3-642-12026-8_48
Book ISBNs
978-3-64-212025-1, 978-3-64-212026-8
Authors

Kenneth Wai-Ting Leung, Dik Lun Lee, Leung, Kenneth Wai-Ting, Lee, Dik Lun

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
China 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 100%
Readers by discipline Count As %
Computer Science 1 100%

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