By Jan Chomicki (auth.), Thomas Schwentick, Dan Suciu (eds.)
This publication constitutes the refereed complaints of the eleventh foreign convention on Database concept, ICDT 2007, held in Barcelona, Spain in January 2007.
The 25 revised papers offered including 3 invited papers have been conscientiously reviewed and chosen from 111 submissions. The papers are geared up in topical sections on details integration and peer to look, axiomatizations for XML, expressive energy of question languages, incompleteness, inconsistency, and uncertainty, XML schemas and typechecking, move processing and sequential question processing, rating, XML replace and question, in addition to question containment.
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Databaseresearchisa? eldofcomputersciencewheretheorymeetsapplications. Many thoughts and techniques, that have been considered as problems with theoretical curiosity while firstly proposed, at the moment are incorporated in applied database structures and similar items. Examples abound within the ? elds of database layout, question languages, question optimization, concurrency keep watch over, statistical databases, etc.
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Additional resources for Database Theory – ICDT 2007: 11th International Conference, Barcelona, Spain, January 10-12, 2007. Proceedings
T . By linearity of expectation, E[S] = T E[|N (0, 1)|]. So Hoeﬀding’s bound says that Pr[S − T ( 2/π) ≥ tT ] ≤ exp − 2T 2 t T i=1 4 log nT = exp − 2T t log4 nT In particular when T ≥ log (T n) this is negligible for all t ∈ Ω(1). By a union bound we see that, as desired, the probability that even one of the n per-row budgets is exceeded is negligible in n. 2, noise of magnitude O(T / ) is suﬃcient to ensure privacy against T queries. We remark that a “better” answer appears in the literature [7, 13, 3].
3. For any ﬁxed δ > 0, if the √ noise is unbounded on a (1/2 − δ) fraction of the queries and restricted to o( n) on the remaining (1/2 + δ) fraction, then the system is blatantly non-private against (a) an exponential-time adversary asking only O(n) queries (b) a polynomial time adversary against a non-interactive solution (eg, a noisy table) asking only O(n) questions, where the break is in the listdecoding sense; that is, the adversary can produce a constant-sized list 1 These results were obtained jointly with Frank McSherry, Kunal Talwar, and Sergey Yekhanin.
We are still learning how to automate schema integration. The wealth of research pointed to in Section 3 shows how rich an area integration is for new discoveries. However, in working with customers such as Janet over the last few years, we have come to believe that there is a more global problem that needs to be addressed. The issue that we see is that there is no theoretical – nor much practical – guidance for the many Janets of the world on how to make these choices. This is problematic, because the wrong choice can lead to bad results: orders of magnitude difference in performance, lack of flexibility to accommodate changes in the company’s processes, or just difficult, time-wasting implementations.