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SIGMOD
2006
ACM
219views Database» more  SIGMOD 2006»
15 years 10 months ago
Modeling skew in data streams
Data stream applications have made use of statistical summaries to reason about the data using nonparametric tools such as histograms, heavy hitters, and join sizes. However, rela...
Flip Korn, S. Muthukrishnan, Yihua Wu
KDD
2010
ACM
265views Data Mining» more  KDD 2010»
15 years 2 months ago
Combining predictions for accurate recommender systems
We analyze the application of ensemble learning to recommender systems on the Netflix Prize dataset. For our analysis we use a set of diverse state-of-the-art collaborative filt...
Michael Jahrer, Andreas Töscher, Robert Legen...
KDD
2003
ACM
243views Data Mining» more  KDD 2003»
15 years 11 months ago
Accurate decision trees for mining high-speed data streams
In this paper we study the problem of constructing accurate decision tree models from data streams. Data streams are incremental tasks that require incremental, online, and any-ti...
João Gama, Pedro Medas, Ricardo Rocha
ADBIS
2007
Springer
124views Database» more  ADBIS 2007»
15 years 4 months ago
Incremental Validation of String-Based XML Data in Databases, File Systems, and Streams
Although the native (tree-like) storage of XML data becomes more and more important there will be an enduring demand to manage XML data in its textual representation, for instance ...
Beda Christoph Hammerschmidt, Christian Werner, Yl...
SIGMOD
2004
ACM
188views Database» more  SIGMOD 2004»
15 years 10 months ago
Online Event-driven Subsequence Matching over Financial Data Streams
Subsequence similarity matching in time series databases is an important research area for many applications. This paper presents a new approximate approach for automatic online s...
Huanmei Wu, Betty Salzberg, Donghui Zhang