45 search results - page 4 / 9 » Incremental Detection of Inconsistencies in Distributed Data |
CIKM
2010
Springer
14 years 8 months ago
2010
Springer
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
SIGKDD
2008
14 years 9 months ago
2008
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
DEXA
2004
Springer
15 years 2 months ago
2004
Springer
Data cleaning deals with the detection and removal of errors and inconsistencies in data, gathered from distributed sources. This process is essential for drawing correct conclusio...
SAC
2005
ACM
15 years 3 months ago
2005
ACM
: This paper presents a system for induction of forest of functional trees from data streams able to detect concept drift. The Ultra Fast Forest of Trees (UFFT) is an incremental a...
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DAGSTUHL
2007
14 years 11 months ago
2007
Abstract Current, data-driven applications have become more dynamic in nature, with the need to respond to events generated from distributed sources or to react to information extr...