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Fast and memory efficient mining of frequent closed itemsets
IEEE Transactions on Knowledge and Data Engineering, 2006 This paper presents a new scalable algorithm for discovering closed frequent itemsets, a lossless and condensed representation of all the frequent itemsets that can be mined from a transactional database. Our algorithm exploits a divide-and-conquer approach and a bitwise vertical representation of the database and adopts a particular visit and ...
Claudio Lucchese +2 more
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\delta-Tolerance Closed Frequent Itemsets
Sixth International Conference on Data Mining (ICDM'06), 2006In this paper, we study an inherent problem of mining Frequent Itemsets (FIs): the number of FIs mined is often too large. The large number of FIs not only affects the mining performance, but also severely thwarts the application of FI mining. In the literature, Closed FIs (CFIs) and Maximal FIs (MFIs) are proposed as concise representations of FIs ...
James Cheng, Yiping Ke, Wilfred Ng
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An efficient algorithm for mining closed itemsets
Journal of Zhejiang University-SCIENCE A, 2004This paper presents a new efficient algorithm for mining frequent closed itemsets. It enumerates the closed set of frequent itemsets by using a novel compound frequent itemset tree that facilitates fast growth and efficient pruning of search space. It also employs a hybrid approach that adapts search strategies, representations of projected transaction
Jun-qiang, Liu, Yun-he, Pan
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EXPEDITE: EXPress closED ITemset Enumeration
Expert Systems with Applications, 2015Abstract In this paper, we introduce EXPress closED ITemset Enumeration (E xpedite ), a new frequent closed itemset (FCI) miner designed to speed up the process of FCIs extraction from a dataset of transactions. Compared to the state of the art, E xpedite provides a CPU time saving of up to two orders of magnitude without compromising other ...
G. Aliberti +3 more
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Efficient algorithms for deriving complete frequent itemsets from frequent closed itemsets
Applied Intelligence, 2021When mining frequent itemsets (abbr. FIs) from dense datasets, it usually produces too many itemsets and results in the mining task to suffer from a very long execution time and high memory consumption. Frequent closed itemset (abbr. FCI) is a compact and lossless representation of FI. Mining FCIs can not only reduce the execution time and memory usage,
Cheng-Wei Wu +4 more
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Distributed Frequent Closed Itemsets Mining
2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System, 2007As many large organizations have multiple data sources and the scale of dataset becomes larger and larger, it is inevitable to carry out data mining in the distributed environment. In this paper, we address the problem of mining global frequent closed itemsets in distributed environment.
Chun Liu +3 more
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An algorithm for mining frequent closed itemsets
2008 3rd International Conference on Intelligent System and Knowledge Engineering, 2008The problem of mining frequent itemsets plays an essential role in mining association rules, but it is not necessary to mine all frequent itemsets, instead it is sufficient to mine the set of frequent closed itemsets, which is much smaller than the set of all frequent itemsets. In this paper, we present an efficient algorithm, FCI-Miner, for mining all
Tiejun Zhang, Junrui Yang, Xiuqin Wang
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