Proceedings of the 29th Symposium on Principles of Database Systems
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Jan Paredaens, Dirk Van Gucht
Proceedings of the 29th Symposium on Principles of Database Systems
PODS, 2010.

DATA
DBLP
Scholar
Full names Links ISxN
@proceedings{PODS-2010,
	acmid         = "1807085",
	address       = "Indianapolis, Indiana, USA",
	editor        = "Jan Paredaens and Dirk Van Gucht",
	isbn          = "978-1-4503-0033-9",
	publisher     = "{ACM}",
	title         = "{Proceedings of the 29th Symposium on Principles of Database Systems}",
	year          = 2010,
}

Contents (30 items)

PODS-2010-Hellerstein #datalog #experience
Datalog redux: experience and conjecture (JMH), pp. 1–2.
PODS-2010-BarceloHLW #query
Expressive languages for path queries over graph-structured data (PB, CAH, LL, PTW), pp. 3–14.
PODS-2010-KimelfeldR #markov #sequence
Transducing Markov sequences (BK, CR), pp. 15–26.
PODS-2010-BenediktPV #higher-order #query
Positive higher-order queries (MB, GP, HV), pp. 27–38.
PODS-2010-KaneNW #algorithm #problem
An optimal algorithm for the distinct elements problem (DMK, JN, DPW), pp. 41–52.
PODS-2010-ReS #comprehension #estimation #using
Understanding cardinality estimation using entropy maximization (CR, DS), pp. 53–64.
PODS-2010-WeikumT #web
From information to knowledge: harvesting entities and relationships from web sources (GW, MT), pp. 65–76.
PODS-2010-CormodeMYZ #distributed
Optimal sampling from distributed streams (GC, SM, KY, QZ), pp. 77–86.
PODS-2010-Koch #database #evaluation #incremental #query
Incremental query evaluation in a ring of databases (CK), pp. 87–98.
PODS-2010-NelsonW #data type #performance #sketching
Fast Manhattan sketches in data streams (JN, DPW), pp. 99–110.
PODS-2010-MeierSWL #optimisation #query #semantics
Semantic query optimization in the presence of types (MM, MS, FW, GL), pp. 111–122.
PODS-2010-LiHRMM #difference #linear #optimisation #privacy #query
Optimizing linear counting queries under differential privacy (CL, MH, VR, GM, AM), pp. 123–134.
PODS-2010-GupteS #privacy
Universally optimal privacy mechanisms for minimax agents (MG, MS), pp. 135–146.
PODS-2010-KiferL #axiom #privacy #statistics #towards
Towards an axiomatization of statistical privacy and utility (DK, BRL), pp. 147–158.
PODS-2010-Jayram #complexity #tutorial
Information complexity: a tutorial (TSJ), pp. 159–168.
PODS-2010-FanG #tuple
Capturing missing tuples and missing values (WF, FG), pp. 169–178.
PODS-2010-Wijsen #database #first-order #nondeterminism #on the #query
On the first-order expressibility of computing certain answers to conjunctive queries over uncertain databases (JW), pp. 179–190.
PODS-2010-DavidLM #query #xml
Certain answers for XML queries (CD, LL, FM), pp. 191–202.
PODS-2010-DalviSS #algebra #probability #query
Computing query probability with incidence algebras (NND, KS, DS), pp. 203–214.
PODS-2010-DeutchKM #fixpoint #markov #on the #probability #query
On probabilistic fixpoint and Markov chain query languages (DD, CK, TM), pp. 215–226.
PODS-2010-ArenasPRR
Foundations of schema mapping management (MA, JP, JLR, CR), pp. 227–238.
PODS-2010-MartensNS #complexity #design #repository #xml
Schema design for XML repositories: complexity and tractability (WM, MN, TS), pp. 239–250.
PODS-2010-GeladeIMN #approximate #xml
Simplifying XML schema: single-type approximations of regular tree languages (WG, TI, WM, FN), pp. 251–260.
PODS-2010-AlexeKT
Characterizing schema mappings via data examples (BA, PGK, WCT), pp. 261–272.
PODS-2010-FaginKLRV #comprehension #database #query
Understanding queries in a search database system (RF, BK, YL, SR, SV), pp. 273–284.
PODS-2010-LemayMN #algorithm #learning #top-down #xml
A learning algorithm for top-down XML transformations (AL, SM, JN), pp. 285–296.
PODS-2010-PaghWYZ
Cache-oblivious hashing (RP, ZW, KY, QZ), pp. 297–304.
PODS-2010-BenderHK #performance
Performance guarantees for B-trees with different-sized atomic keys (MAB, HH, BCK), pp. 305–316.
PODS-2010-HartmannL #dependence #logic #sql
When data dependencies over SQL tables meet the logics of paradox and S-3 (SH, SL), pp. 317–326.
PODS-2010-GrecoS #algorithm #consistency #power of
The power of tree projections: local consistency, greedy algorithms, and larger islands of tractability (GG, FS), pp. 327–338.

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