Reduced overhead logging for rollback recovery in distributed shared memory
G Suri, B Jannsens, WK Fuchs - Twenty-Fifth International …, 1995 - ieeexplore.ieee.org
Rollback techniques that use message logging and deterministic replay can be used in
parallel systems to recover a failed node without involving other nodes. Distributed shared …
parallel systems to recover a failed node without involving other nodes. Distributed shared …
Index-CloseMiner: An improved algorithm for mining frequent closed itemset
W Song, B Yang, Z Xu - Intelligent Data Analysis, 2008 - content.iospress.com
The set of frequent closed itemsets determines exactly the complete set of all frequent
itemsets and is usually much smaller than the latter. This paper proposes an improved …
itemsets and is usually much smaller than the latter. This paper proposes an improved …
An effective hashtable-based approach for incrementally mining closed frequent itemsets using sliding windows
MJ Sutha, FR Dhanaseelan - International Journal of Data …, 2016 - inderscienceonline.com
Online mining of closed frequent itemsets over streaming data is one of the important
problems in mining data streams. In this paper, we propose a new algorithm called'CFI …
problems in mining data streams. In this paper, we propose a new algorithm called'CFI …
Meta itemset: a new concise representation of frequent itemset
W Song, J Li, Z Xu - Journal of Experimental & Theoretical Artificial …, 2009 - Taylor & Francis
The sheer size of all frequent itemsets is one challenging problem in data mining research.
Based on both closed itemset and maximal itemset, meta itemset which is a new concise …
Based on both closed itemset and maximal itemset, meta itemset which is a new concise …
An Improved DCI_Closed Algorithm
Y Miao, H Wang - 2015 International Conference on Intelligent …, 2015 - ieeexplore.ieee.org
Frequent itemsets mining will not conducive to data analysis. Because of frequent itemsets
mining produce very large amount of frequent itemsets in the case large data. Frequent …
mining produce very large amount of frequent itemsets in the case large data. Frequent …
Based on Frequent Itemset for Maximal Frequent Itesets
D Chen, Z Liu - 2010 International Conference on Electrical and …, 2010 - ieeexplore.ieee.org
This paper proposes a maximal frequent itemsets mining algorithm BFI-MFI (Based on
Frequent Itemset for maximal frequent itemsets). A maximal frequent itemset in frequent …
Frequent Itemset for maximal frequent itemsets). A maximal frequent itemset in frequent …