Introduction to Special Issue on Large-Scale Data Mining
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Transaction-item association matrix-based frequent pattern network mining algorithm in large-scale transaction database
To increase the efficiency of data mining is the emphasis in this field at present. Through the establishment of transaction-item association matrix, this paper changes the process of association rule mining to elementary matrix operation, which makes ...
Frequent Itemset Mining on Large-Scale Shared Memory Machines
CLUSTER '11: Proceedings of the 2011 IEEE International Conference on Cluster ComputingFrequent Item set Mining (FIM) is a data mining task that is used to find frequently-occurring subsets amongst a database of item sets. FIM is a non-numerical data intensive computation and is frequently used in machine learning and computational ...
Mining uncertain data
As an important data mining and knowledge discovery task, association rule mining searches for implicit, previously unknown, and potentially useful pieces of information—in the form of rules revealing associative relationships—that are embedded in the ...
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Association for Computing Machinery
New York, NY, United States
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