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» Evaluating algorithms that learn from data streams
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PAKDD
2005
ACM
161views Data Mining» more  PAKDD 2005»
15 years 6 months ago
Online Algorithms for Mining Inter-stream Associations from Large Sensor Networks
We study the problem of mining frequent value sets from a large sensor network. We discuss how sensor stream data could be represented that facilitates efficient online mining and ...
K. K. Loo, Ivy Tong, Ben Kao
ICDE
2006
IEEE
149views Database» more  ICDE 2006»
16 years 1 months ago
An Efficient XPath Query Processor for XML Streams
Streaming XPath evaluation algorithms must record a potentially exponential number of pattern matches when both predicates and descendant axes are present in queries, and the XML ...
Yi Chen, Susan B. Davidson, Yifeng Zheng
107
Voted
PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
15 years 6 months ago
Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining
Abstract In this paper we propose a novel parallel algorithm for frequent itemset mining. The algorithm is based on the filter-stream programming model, in which the frequent item...
Adriano Veloso, Wagner Meira Jr., Renato Ferreira,...
DAARC
2007
Springer
86views Algorithms» more  DAARC 2007»
15 years 6 months ago
Evaluating Hybrid Versus Data-Driven Coreference Resolution
Abstract. In this paper, we present a systematic evaluation of a hybrid approach of combined rule-based filtering and machine learning to Dutch coreference resolution. Through the...
Iris Hendrickx, Véronique Hoste, Walter Dae...
ICDM
2008
IEEE
121views Data Mining» more  ICDM 2008»
15 years 7 months ago
Fast and Memory Efficient Mining of High Utility Itemsets in Data Streams
Efficient mining of high utility itemsets has become one of the most interesting data mining tasks with broad applications. In this paper, we proposed two efficient one-pass algor...
Hua-Fu Li, Hsin-Yun Huang, Yi-Cheng Chen, Yu-Jiun ...