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» Evaluating algorithms that learn from data streams
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DKE
2008
109views more  DKE 2008»
14 years 10 months ago
Deterministic algorithms for sampling count data
Processing and extracting meaningful knowledge from count data is an important problem in data mining. The volume of data is increasing dramatically as the data is generated by da...
Hüseyin Akcan, Alex Astashyn, Hervé Br...
ICDE
2007
IEEE
103views Database» more  ICDE 2007»
15 years 11 months ago
TCAM-conscious Algorithms for Data Streams
Recently, there has been significant interest in developing space and time efficient solutions for answering continuous summarization queries over data streams. While these techni...
Nagender Bandi, Ahmed Metwally, Divyakant Agrawal,...
KAIS
2008
150views more  KAIS 2008»
14 years 10 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
ICC
2007
IEEE
156views Communications» more  ICC 2007»
15 years 4 months ago
A Sampling Data Stream Algorithm For Wireless Sensor Networks
Abstract— This work presents a sampling data stream algorithm for wireless sensor networks (WSNs). The proposed algorithm is based on sampling techniques applied to data histogra...
André L. L. de Aquino, Carlos Mauricio S. F...
ICDE
2008
IEEE
192views Database» more  ICDE 2008»
15 years 11 months ago
Verifying and Mining Frequent Patterns from Large Windows over Data Streams
Mining frequent itemsets from data streams has proved to be very difficult because of computational complexity and the need for real-time response. In this paper, we introduce a no...
Barzan Mozafari, Hetal Thakkar, Carlo Zaniolo