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DIS
2009
Springer
15 years 10 months ago
A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams
Some challenges in frequent pattern mining from data streams are the drift of data distribution and the computational efficiency. In this work an additional challenge is considered...
Fabio Fumarola, Anna Ciampi, Annalisa Appice, Dona...
IDA
2008
Springer
15 years 3 months ago
Schema matching on streams with accuracy guarantees
Abstract. We address the problem of matching imperfectly documented schemas of data streams and large databases. Instancelevel schema matching algorithms identify likely correspond...
Szymon Jaroszewicz, Lenka Ivantysynova, Tobias Sch...
131
Voted
ICML
2010
IEEE
15 years 4 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
127
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JCP
2006
111views more  JCP 2006»
15 years 3 months ago
Mining Developing Trends of Dynamic Spatiotemporal Data Streams
This paper1 presents an efficient modeling technique for data streams in a dynamic spatiotemporal environment and its suitability for mining developing trends. The streaming data a...
Yu Meng, Margaret H. Dunham
JMLR
2010
182views more  JMLR 2010»
14 years 10 months ago
Decision Tree for Dynamic and Uncertain Data Streams
Current research on data stream classification mainly focuses on certain data, in which precise and definite value is usually assumed. However, data with uncertainty is quite natu...
Chunquan Liang, Yang Zhang, Qun Song