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» Methods for finding frequent items in data streams
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DMIN
2006
239views Data Mining» more  DMIN 2006»
13 years 9 months ago
Mining of Stock Data: Intra- and Inter-Stock Pattern Associative Classification
In this paper, a pattern-based stock data mining approach which transforms the numeric stock data to symbolic sequences, carries out sequential and non-sequential association analy...
Jo Ting, Tak-Chung Fu, Fu-Lai Chung
CORR
2010
Springer
144views Education» more  CORR 2010»
13 years 7 months ago
Algorithmic Verification of Single-Pass List Processing Programs
We introduce streaming data string transducers that map input data strings to output data strings in a single left-to-right pass in linear time. Data strings are (unbounded) seque...
Rajeev Alur, Pavol Cerný
IDEAL
2004
Springer
14 years 1 months ago
Mobile Data Mining by Location Dependencies
Mobile mining is about finding useful knowledge from the raw data produced by mobile users. The mobile environment consists of a set of static device and mobile device. Previous wo...
Jen Ye Goh, David Taniar
ICEIS
2009
IEEE
13 years 5 months ago
Mining Patterns in the Presence of Domain Knowledge
One of the main difficulties of pattern mining is to deal with items of different nature in the same itemset, which can occur in any domain except basket analysis. Indeed, if we co...
Cláudia Antunes
ICMLA
2008
13 years 9 months ago
Data Integration for Recommendation Systems
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang