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» Online Algorithms for Mining Semi-structured Data Stream
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KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 5 months ago
Mining top-k frequent items in a data stream with flexible sliding windows
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...
Hoang Thanh Lam, Toon Calders
139
Voted
ICDM
2005
IEEE
166views Data Mining» more  ICDM 2005»
15 years 7 months ago
Sequential Pattern Mining in Multiple Streams
In this paper, we deal with mining sequential patterns in multiple data streams. Building on a state-of-the-art sequential pattern mining algorithm PrefixSpan for mining transact...
Gong Chen, Xindong Wu, Xingquan Zhu
PKDD
2004
Springer
131views Data Mining» more  PKDD 2004»
15 years 7 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,...
116
Voted
GLOBECOM
2008
IEEE
15 years 8 months ago
Adaptive Multicast Tree Construction for Elastic Data Streams
— In this paper, we revisit the problem of multicast tree construction in overlay peer-to-peer networks. We present an iterative online multicast tree construction algorithm for ...
Ying Zhu, Ken Q. Pu
KDD
2007
ACM
178views Data Mining» more  KDD 2007»
16 years 2 months ago
Practical learning from one-sided feedback
In many data mining applications, online labeling feedback is only available for examples which were predicted to belong to the positive class. Such applications include spam filt...
D. Sculley