Multiple average-utility thresholdsHigh Average-Utility Itemset (HAUI) mining is an emerging pattern mining technique to extract meaningful patterns from a transaction dataset. In the past, several HAUI mining algorithms have been developed with efficient upper-bounds and pruning strategies. However, ...
An efficient method for mining high utility closed itemsets Inform. Sci. (2019) KrishnamoorthyS. HMiner: Efficiently mining high utility itemsets Expert Syst. Appl. (2017) TruongT. et al. Efficient high average-utility itemset mining using novel vertical weak upper-bounds Knowl.-Based Syst. ...
The utility of an itemset X (in all transactions of a transaction database) is denoted as u(X) and defined as u(X) = Tc∈g(X) u(X, Tc), where g(X) is the set of transactions containing X. The problem of high-utility itemset mining is to discover all high-utility itemsets. ...
FHM: Faster High-Utility Itemset Mining using Estimated Utility Co-occurrence Pruning Philippe Fournier-Viger1, Cheng-Wei Wu2, Souleymane Zida1, Vincent S. Tseng2 1 Dept. of Computer Science, University of Moncton, Canada 2 Dept. of Computer Science and Information Engineering, National Cheng ...
called utility-list buffer to reduce the memory consumption and speed up the join operation. This structure is integrated into a novel algorithm named ULB-Miner (Utility-List Buffer for high utility itemset Miner), which introduces several new ideas to more efficiently discover high utility ...
On this blog, I have previously given an introduction to a popular data mining task calledhigh utility itemset mining. Put simply, this task aims at finding all the sets of values (items) that have a high importance in a database, where the importance is evaluated using a numeric functio...
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Efficient high average-utility itemset mining using novel vertical weak upper-bounds Knowl.-Based Syst. (2019) HanJ. et al. Data Mining: Concepts and Techniques (2011) R. Agrawal, T. Imielinski, R. University, Mining association rules between sets of items in large databases, in:... Luna...
Algorithmdata miningfrequent itemsetsFrequent itemsets, also called frequent patterns, are important information about databases, and mining efficiently frequent itemsets is a core problem in data mining area. Pattern growth approaches, such as the classic FP-Growth algorithm and the efficient FPgrowth* ...
Parallel high average-utility itemset mining using better search space division approach. In: Fahrnberger G, Gopinathan S, Parida L, editors. Distributed Computing and Internet Technology. Cham: Springer International Publishing; 2019. p. 108–24. [36] Belhadi A, Djenouri Y, Lin C-W, Cano ...