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» An Iterative Method for Mining Frequent Temporal Patterns
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PREMI
2007
Springer
14 years 2 months ago
Discovery of Process Models from Data and Domain Knowledge: A Rough-Granular Approach
The rapid expansion of the Internet has resulted not only in the ever-growing amount of data stored therein, but also in the burgeoning complexity of the concepts and phenomena per...
Andrzej Skowron
ICSE
2005
IEEE-ACM
14 years 8 months ago
Real-time specification patterns
Embedded systems are pervasive and frequently used for critical systems with time-dependent functionality. Dwyer et al. have developed qualitative specification patterns to facili...
Sascha Konrad, Betty H. C. Cheng
DSN
2009
IEEE
14 years 3 months ago
System log pre-processing to improve failure prediction
Log preprocessing, a process applied on the raw log before applying a predictive method, is of paramount importance to failure prediction and diagnosis. While existing filtering ...
Ziming Zheng, Zhiling Lan, Byung-Hoon Park, Al Gei...
WWW
2009
ACM
14 years 9 months ago
Smart Miner: a new framework for mining large scale web usage data
In this paper, we propose a novel framework called SmartMiner for web usage mining problem which uses link information for producing accurate user sessions and frequent navigation...
Murat Ali Bayir, Ismail Hakki Toroslu, Ahmet Cosar...
PAKDD
2010
ACM
171views Data Mining» more  PAKDD 2010»
13 years 7 months ago
Summarizing Multidimensional Data Streams: A Hierarchy-Graph-Based Approach
With the rapid development of information technology, many applications have to deal with potentially infinite data streams. In such a dynamic context, storing the whole data stre...
Yoann Pitarch, Anne Laurent, Pascal Poncelet