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Database Theory — ICDT 2001 : 8th International Conference London, UK, January 4–6, 2001 Proceedings

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Cover of 'Database Theory — ICDT 2001 : 8th International Conference London, UK, January 4–6, 2001 Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Expressive Power of SQL
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    Chapter 2 Query Evaluation via Tree-Decompositions
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    Chapter 3 Scalar Aggregation in FD-Inconsistent Databases
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    Chapter 4 On Decidability and Complexity of Description Logics with Uniqueness Constraints
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    Chapter 5 Expressiveness Issues and Decision Problems for Active Database Event Queries
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    Chapter 6 A Theory of Transactions on Recoverable Search Trees
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    Chapter 7 Minimizing View Sets without Losing Query-Answering Power
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    Chapter 8 Cost Based Data Dissemination in Broadcast Networks
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    Chapter 9 Parallelizing the Data Cube
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    Chapter 10 Asymptotically Optimal Declustering Schemes for Range Queries
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    Chapter 11 Flexible Data Cubes for Online Aggregation
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    Chapter 12 Mining for Empty Rectangles in Large Data Sets
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    Chapter 13 FUN: An Efficient Algorithm for Mining Functional and Embedded Dependencies
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    Chapter 14 Axiomatization of Frequent Sets
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    Chapter 15 On Answering Queries in the Presence of Limited Access Patterns
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    Chapter 16 The Dynamic Complexity of Transitive Closure Is in DynTC°
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    Chapter 17 Query Languages for Constraint Databases: First-Order Logic, Fixed-Points, and Convex Hulls
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    Chapter 18 A Semi-monad for Semi-structured Data (ICDT Version)
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    Chapter 19 Algebraic Rewritings for Optimizing Regular Path Queries
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    Chapter 20 Why and Where: A Characterization of Data Provenance
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    Chapter 21 Subsumption for XML Types
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    Chapter 22 Towards Aggregated Answers for Semistructured Data
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    Chapter 23 Orthogonal Range Queries in OLAP
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    Chapter 24 Reasoning about Summarizability in Heterogeneous Multidimensional Schemas
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    Chapter 25 Estimating Range Queries Using Aggregate Data with Integrity Constraints: A Probabilistic Approach
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    Chapter 26 Constraint-Based Clustering in Large Databases
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    Chapter 27 On the Surprising Behavior of Distance Metrics in High Dimensional Space
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    Chapter 28 On Optimizing Nearest Neighbor Queries in High-Dimensional Data Spaces
Attention for Chapter 26: Constraint-Based Clustering in Large Databases
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Chapter title
Constraint-Based Clustering in Large Databases
Chapter number 26
Book title
Database Theory — ICDT 2001
Published by
Springer, Berlin, Heidelberg, January 2001
DOI 10.1007/3-540-44503-x_26
Book ISBNs
978-3-54-041456-8, 978-3-54-044503-6
Authors

Anthony K. H. Tung, Jiawei Han, Laks V.S. Lakshmanan, Raymond T. Ng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Spain 1 2%
Ireland 1 2%
Australia 1 2%
Unknown 46 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 18%
Researcher 9 18%
Professor > Associate Professor 7 14%
Student > Master 7 14%
Student > Bachelor 3 6%
Other 10 20%
Unknown 5 10%
Readers by discipline Count As %
Computer Science 33 66%
Engineering 5 10%
Arts and Humanities 1 2%
Business, Management and Accounting 1 2%
Unspecified 1 2%
Other 2 4%
Unknown 7 14%