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» Discovering Case Knowledge Using Data Mining
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EDBT
2006
ACM
150views Database» more  EDBT 2006»
14 years 11 months ago
On Futuristic Query Processing in Data Streams
Recent advances in hardware technology have resulted in the ability to collect and process large amounts of data. In many cases, the collection of the data is a continuous process ...
Charu C. Aggarwal
KDD
2003
ACM
194views Data Mining» more  KDD 2003»
14 years 11 months ago
Finding recent frequent itemsets adaptively over online data streams
A data stream is a massive unbounded sequence of data elements continuously generated at a rapid rate. Consequently, the knowledge embedded in a data stream is more likely to be c...
Joong Hyuk Chang, Won Suk Lee
DAWAK
2004
Springer
14 years 4 months ago
Algorithms for Discovery of Frequent Superset, Rather than Frequent Subset
Abstract. In this paper, we propose a novel mining task: mining frequent superset from the database of itemsets that is useful in bioinformatics, e-learning systems, jobshop schedu...
Zhung-Xun Liao, Man-Kwan Shan
SDM
2009
SIAM
164views Data Mining» more  SDM 2009»
14 years 8 months ago
Exact Discovery of Time Series Motifs.
Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computat...
Abdullah Mueen, Eamonn J. Keogh, M. Brandon Westov...
CORR
2002
Springer
104views Education» more  CORR 2002»
13 years 10 months ago
Intelligent Search of Correlated Alarms for GSM Networks with Model-based Constraints
In order to control the process of data mining and focus on the things of interest to us, many kinds of constraints have been added into the algorithms of data mining. However, di...
Qingguo Zheng, Ke Xu, Weifeng Lv, Shilong Ma