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ACSW
2004
13 years 9 months ago
Cost-Efficient Mining Techniques for Data Streams
A data stream is a continuous and high-speed flow of data items. High speed refers to the phenomenon that the data rate is high relative to the computational power. The increasing...
Mohamed Medhat Gaber, Shonali Krishnaswamy, Arkady...
KDD
2007
ACM
182views Data Mining» more  KDD 2007»
14 years 8 months ago
A fast algorithm for finding frequent episodes in event streams
Frequent episode discovery is a popular framework for mining data available as a long sequence of events. An episode is essentially a short ordered sequence of event types and the...
Srivatsan Laxman, P. S. Sastry, K. P. Unnikrishnan
CINQ
2004
Springer
177views Database» more  CINQ 2004»
14 years 1 months ago
Generic Pattern Mining Via Data Mining Template Library
Frequent Pattern Mining (FPM) is a very powerful paradigm for mining informative and useful patterns in massive, complex datasets. In this paper we propose the Data Mining Templat...
Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Paol...
CNSR
2007
IEEE
128views Communications» more  CNSR 2007»
14 years 1 months ago
A Novel Approach for Frequent Phrase Mining in Web Search Engine Query Streams
In this paper, conceptual frequency rate, a new frequency definition suitable for query stream mining, is introduced. An online single-pass algorithm called OFSD (Online Frequent...
M. Barouni-Ebrahimi, Ali A. Ghorbani
KDD
2008
ACM
135views Data Mining» more  KDD 2008»
14 years 8 months ago
Effective and efficient itemset pattern summarization: regression-based approaches
In this paper, we propose a set of novel regression-based approaches to effectively and efficiently summarize frequent itemset patterns. Specifically, we show that the problem of ...
Ruoming Jin, Muad Abu-Ata, Yang Xiang, Ning Ruan