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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 The Scientific Data Management Center: Providing Technologies for Large Scale Scientific Exploration
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    Chapter 2 Query Recommendations for Interactive Database Exploration
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    Chapter 3 Scientific Mashups: Runtime-Configurable Data Product Ensembles
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    Chapter 4 View Discovery in OLAP Databases through Statistical Combinatorial Optimization
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    Chapter 5 Designing a Geo-scientific Request Language - A Database Approach
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    Chapter 6 SEEDEEP: A System for Exploring and Querying Scientific Deep Web Data Sources
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    Chapter 7 Expressing OLAP Preferences
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    Chapter 8 Scientific and Statistical Database Management
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    Chapter 9 Scientific and Statistical Database Management
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    Chapter 10 Finding Regions of Interest in Large Scientific Datasets
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    Chapter 11 Adaptive Physical Design for Curated Archives
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    Chapter 12 MLR-Index: An Index Structure for Fast and Scalable Similarity Search in High Dimensions
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    Chapter 13 B-Fabric: An Open Source Life Sciences Data Management System
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    Chapter 14 Design and Implementation of Metadata System in PetaShare
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    Chapter 15 Covariant Evolutionary Event Analysis for Base Interaction Prediction Using a Relational Database Management System for RNA
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    Chapter 16 What Makes Scientific Workflows Scientific?
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    Chapter 17 Enabling Ad Hoc Queries over Low-Level Scientific Data Sets
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    Chapter 18 Exploring Scientific Workflow Provenance Using Hybrid Queries over Nested Data and Lineage Graphs
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    Chapter 19 Data Integration with the DaltOn Framework – A Case Study
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    Chapter 20 Experiment Line: Software Reuse in Scientific Workflows
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    Chapter 21 Tracking Files in the Kepler Provenance Framework
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    Chapter 22 BioBrowsing: Making the Most of the Data Available in Entrez
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    Chapter 23 Using Workflow Medleys to Streamline Exploratory Tasks
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    Chapter 24 Experiences on Processing Spatial Data with MapReduce
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    Chapter 25 Optimization and Execution of Complex Scientific Queries over Uncorrelated Experimental Data
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    Chapter 26 Scientific and Statistical Database Management
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    Chapter 27 Efficient Evaluation of Generalized Tree-Pattern Queries with Same-Path Constraints
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    Chapter 28 Mode Aware Stream Query Processing
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    Chapter 29 Evaluating Reachability Queries over Path Collections
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    Chapter 30 Easing the Dimensionality Curse by Stretching Metric Spaces
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    Chapter 31 Probabilistic Similarity Search for Uncertain Time Series
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    Chapter 32 Reverse k-Nearest Neighbor Search Based on Aggregate Point Access Methods
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    Chapter 33 Finding Structural Similarity in Time Series Data Using Bag-of-Patterns Representation
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    Chapter 34 Cloud Computing for Science
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    Chapter 35 Classification with Unknown Classes
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    Chapter 36 HSM: Heterogeneous Subspace Mining in High Dimensional Data
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    Chapter 37 Split-Order Distance for Clustering and Classification Hierarchies
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    Chapter 38 Combining Multiple Interrelated Streams for Incremental Clustering
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    Chapter 39 Improving Relation Extraction by Exploiting Properties of the Target Relation
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    Chapter 40 Cor-Split: Defending Privacy in Data Re-publication from Historical Correlations and Compromised Tuples
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    Chapter 41 A Bipartite Graph Framework for Summarizing High-Dimensional Binary, Categorical and Numeric Data
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    Chapter 42 Region Extraction and Verification for Spatial and Spatio-temporal Databases
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    Chapter 43 Identifying the Most Endangered Objects from Spatial Datasets
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    Chapter 44 Constraint-Based Learning of Distance Functions for Object Trajectories
Attention for Chapter 7: Expressing OLAP Preferences
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Chapter title
Expressing OLAP Preferences
Chapter number 7
Book title
Scientific and Statistical Database Management
Published by
Springer, Berlin, Heidelberg, June 2009
DOI 10.1007/978-3-642-02279-1_7
Book ISBNs
978-3-64-202278-4, 978-3-64-202279-1
Authors

Matteo Golfarelli, Stefano Rizzi

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 5%
Portugal 1 5%
France 1 5%
Unknown 16 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 37%
Student > Master 3 16%
Professor 2 11%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Other 3 16%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 10 53%
Business, Management and Accounting 2 11%
Social Sciences 2 11%
Engineering 1 5%
Unknown 4 21%