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DAWAK
2010
Springer
15 years 7 months ago
Mining Closed Itemsets in Data Stream Using Formal Concept Analysis
Mining of frequent closed itemsets has been shown to be more efficient than mining frequent itemsets for generating non-redundant association rules. The task is challenging in data...
Anamika Gupta, Vasudha Bhatnagar, Naveen Kumar
BTW
2009
Springer
166views Database» more  BTW 2009»
16 years 1 months ago
TinTO: A Tool for View-Based Analysis of Stock Market Data Streams
: TinTO is an experimental system aiming at demonstrating the usefulness and feasibility of incrementally evaluated SQL queries for analyzing a wide spectrum of data streams. As ap...
Andreas Behrend, Christian Dorau, Rainer Manthey
ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 10 months ago
Sequential Change Detection on Data Streams
Model-based declarative queries are becoming an attractive paradigm for interacting with many data stream applications. This has led to the development of techniques to accurately...
S. Muthukrishnan, Eric van den Berg, Yihua Wu
SIGMETRICS
2005
ACM
127views Hardware» more  SIGMETRICS 2005»
16 years 1 days ago
A data streaming algorithm for estimating subpopulation flow size distribution
Statistical information about the flow sizes in the traffic passing through a network link helps a network operator to characterize network resource usage, infer traffic demands,...
Abhishek Kumar, Minho Sung, Jun Xu, Ellen W. Zegur...
KDD
2010
ACM
300views Data Mining» more  KDD 2010»
15 years 10 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