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Table of Contents PODS 2007 Symposium Organization PODS Invited Talk Management of Probabilistic Data Foundations and Challenges
(Page 1) Session 1: Query Processing and Rewriting Best
Paper Award: Generalized Hypertree Decompositions: NP-Hardness
and Tractable Variants
(Page 13) Queries Determined by Views: Pack Your Views
(Page 23) Provenance Semirings
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Session 2: Machine Models and Data Structures Invited
Tutorial 1: Machine Models and Lower Bounds for Query Processing
(Page 41) Decision Trees for Entity Identification: Approximation Algorithms and Hardness Results
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Best
Newcomer Award: XML Transformation by Tree-Walking Transducers
with Invisible Pebbles
(Page 63) The Complexity of Query Containment in Expressive Fragments of XPath 2.0
(Page 73) Expressiveness and Complexity of XML Publishing Transducers
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Maintaining Bernoulli Samples over Evolving Multisets
(Page 93) Finding Near Neighbors Through Cluster Pruning
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Session 5: Data Exchange and Schema Mappings CWA-Solutions for Data Exchange Settings with Target Dependencies
(Page 113) Quasi-inverses of Schema Mappings
(Page 123) On Reconciling Data Exchange, Data Integration, and Peer Data Management
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Invited
Tutorial 2: A Crash Course on Database Queries
(Page 143) The Complexity of Reasoning about Pattern-based XML Schemas
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Monadic
Datalog over Finite Structures with Bounded Treewidth
(Page 165) Index-Based Multidimensional Array Queries: Safety and Equivalence
(Page 175) Non-Linear Prefixes in Query Languages
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Reasoning about XML Update Constraints
(Page 195) Polynomial Time Fragments of XPath with Variables
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Optimization of Continuous Queries with Shared Expensive Filters
(Page 215) Variance Estimation over Sliding Windows
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Session 10: Sequences, Streams, Events Marrying Words and Trees
(Page 233) Estimating Statistical Aggregates on Probabilistic Data Streams
(Page 243) Sketching Unaggregated Data Streams for Subpopulation-size Queries
(Page 253) What is "Next" in Event Processing?
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Session 11: Privacy, Probabilistic Databases Privacy, Accuracy, and Consistency Too: A Holistic Solution to Contingency Table Release
(Page 273) On the Complexity of Managing Probabilistic XML Data
(Page 283) The Dichotomy of Conjunctive Queries on Probabilistic Structures
(Page 293) Maximally Joining Probabilistic Data
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