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From the experimental data, we find that our mining algorithm is efficient and possesses good accuracy.
A statistical or data mining algorithm is a mathematical expression of certain aspects of the patterns they find in data.
To address this issue, a second algorithm named PHUI-List (potential high-utility itemsets PU-list-based mining algorithm) is also proposed.
Therefore, a hybrid particle swarm optimization algorithm equipped with local search and a heuristic mining algorithm is proposed to reach a near-optimal solution efficiently.
In this paper, the high utility pattern tree (HUP tree) is designed and the HUP-growth mining algorithm is proposed to derive high utility patterns effectively and efficiently.
In this respect K2, a data mining algorithm, is used for finding associations between system components, and thus building the BN model.
Similar(37)
In the past, a two-phase mining algorithm was designed for fast discovering high utility itemsets from databases.
The data mining algorithm was introduced in the TMP.
Firstly,the partitioning based non-treelike subgraph mining algorithm were used to efficiently search non-treelike subgraphs from E.coli data set.
The genome-wide GenoMesh literature mining algorithm was developed by sequentially generating a gene-article matrix, a normalized gene-MeSH term matrix, and a gene-gene matrix.
In output privacy, generally interest is in problems such as association rule hiding and query auditing where the output of different data mining algorithms is perturbed or audited in order to preserve privacy.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com