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208
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ICML
2009
IEEE
16 years 8 months ago
2009
IEEE
There are well known algorithms for learning the structure of directed and undirected graphical models from data, but nearly all assume that the data consists of a single i.i.d. s...
237
Voted
DMIN
2006
15 years 8 months ago
2006
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
259
Voted
SRDS
1998
IEEE
15 years 11 months ago
1998
IEEE
A major cost in executing queries in a distributed database system is the data transfer cost incurred in transferring relations (fragments) accessed by a query from different site...
251
Voted
ICDE
2012
IEEE
13 years 9 months ago
2012
IEEE
—This paper investigates the problem of incremental detection of errors in distributed data. Given a distributed database D, a set Σ of conditional functional dependencies (CFDs...
176
Voted
HAIS
2009
Springer
16 years 19 hour ago
2009
Springer
This paper presents a methodology for knowledge discovery from inherently distributed data without moving it from its original location, completely or partially, to other locations...