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Scientific and Statistical Database Management

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Cover of 'Scientific and Statistical Database Management'

Table of Contents

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    Book Overview
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    Chapter 1 Tradeoffs between Parallel Database Systems, Hadoop, and HadoopDB as Platforms for Petabyte-Scale Analysis
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    Chapter 2 Emerging Trends and Converging Technologies in Data Intensive Scalable Computing
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    Chapter 3 Deriving Spatio-temporal Query Results in Sensor Networks
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    Chapter 4 Efficient and Adaptive Distributed Skyline Computation
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    Chapter 5 On the Efficient Construction of Multislices from Recurrences
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    Chapter 6 Optimizing Query Processing in Cache-Aware Wireless Sensor Networks
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    Chapter 7 Approximate Query Answering and Result Refinement on XML Data
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    Chapter 8 Efficient and Scalable Method for Processing Top-k Spatial Boolean Queries
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    Chapter 9 A Framework for Moving Sensor Data Query and Retrieval of Dynamic Atmospheric Events
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    Chapter 10 Client + Cloud: Evaluating Seamless Architectures for Visual Data Analytics in the Ocean Sciences
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    Chapter 11 Scalable Clustering Algorithm for N-Body Simulations in a Shared-Nothing Cluster
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    Chapter 12 Database Design for High-Resolution LIDAR Topography Data
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    Chapter 13 PetaScope: An Open-Source Implementation of the OGC WCS Geo Service Standards Suite
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    Chapter 14 Towards Archaeo-informatics: Scientific Data Management for Archaeobiology
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    Chapter 15 DESSIN: Mining Dense Subgraph Patterns in a Single Graph
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    Chapter 16 Discovery of Evolving Convoys
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    Chapter 17 Finding Top-k Similar Pairs of Objects Annotated with Terms from an Ontology
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    Chapter 18 Identifying the Most Influential User Preference from an Assorted Collection
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    Chapter 19 MC-Tree: Improving Bayesian Anytime Classification
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    Chapter 20 Non-intrusive Quality Analysis of Monitoring Data
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    Chapter 21 Visual Decision Support for Ensemble Clustering
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    Chapter 22 An Indexing Scheme for Fast and Accurate Chemical Fingerprint Database Searching
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    Chapter 23 BEMC: A Searchable, Compressed Representation for Large Seismic Wavefields
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    Chapter 24 Dynamic Data Reorganization for Energy Savings in Disk Storage Systems
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    Chapter 25 Organization of Data in Non-convex Spatial Domains
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    Chapter 26 PrefIndex: An Efficient Supergraph Containment Search Technique
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    Chapter 27 Supporting Web-Based Visual Exploration of Large-Scale Raster Geospatial Data Using Binned Min-Max Quadtree
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    Chapter 28 Bridging Workflow and Data Provenance Using Strong Links
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    Chapter 29 LIVE: A Lineage-Supported Versioned DBMS
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    Chapter 30 Optimizing Resource Allocation for Scientific Workflows Using Advance Reservations
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    Chapter 31 A Fault-Tolerance Architecture for Kepler-Based Distributed Scientific Workflows
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    Chapter 32 Provenance Context Entity (PaCE): Scalable Provenance Tracking for Scientific RDF Data
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    Chapter 33 Scientific and Statistical Database Management
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    Chapter 34 Can Shared-Neighbor Distances Defeat the Curse of Dimensionality?
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    Chapter 35 Optimizing All-Nearest-Neighbor Queries with Trigonometric Pruning
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    Chapter 36 Prefix Tree Indexing for Similarity Search and Similarity Joins on Genomic Data
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    Chapter 37 Similarity Estimation Using Bayes Ensembles
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    Chapter 38 Subspace Similarity Search: Efficient k-NN Queries in Arbitrary Subspaces
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    Chapter 39 Continuous Skyline Monitoring over Distributed Data Streams
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    Chapter 40 Propagation of Densities of Streaming Data within Query Graphs
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    Chapter 41 Spatio-temporal Event Stream Processing in Multimedia Communication Systems
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    Chapter 42 Stratified Reservoir Sampling over Heterogeneous Data Streams
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    Chapter 43 Tree Induction over Perennial Objects
Attention for Chapter 26: PrefIndex: An Efficient Supergraph Containment Search Technique
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Chapter title
PrefIndex: An Efficient Supergraph Containment Search Technique
Chapter number 26
Book title
Scientific and Statistical Database Management
Published in
Lecture notes in computer science, January 2010
DOI 10.1007/978-3-642-13818-8_26
Book ISBNs
978-3-64-213817-1, 978-3-64-213818-8
Authors

Zhu, Gaoping, Lin, Xuemin, Zhang, Wenjie, Wang, Wei, Shang, Haichuan, Gaoping Zhu, Xuemin Lin, Wenjie Zhang, Wei Wang, Haichuan Shang

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 %
China 1 8%
Austria 1 8%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Other 3 23%
Student > Master 2 15%
Student > Bachelor 1 8%
Professor > Associate Professor 1 8%
Other 1 8%
Unknown 1 8%
Readers by discipline Count As %
Computer Science 10 77%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Materials Science 1 8%
Unknown 1 8%