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Mining association rules plays an essential role in data mining tasks. Many algorithms have been proposed for mining Boolean association rules, but they cannot deal with quantitative and categorical data directly. Although we can transform quantitative attributes into intervals and applying Boolean algorithms to the intervals. But this approach is not effective and is difficult to scale up for high-dimensional...
In order to improve the efficiency of mining maximal frequent itemsets, a new algorithm SFP-Miner based on Sorted FP-Tree(SFP-Tree) was proposed. The algorithm scanned the database twice and generated the SFP-Tree first, then mined maximal frequent itemsets by depth-first method and directly in SFP-Tree by merging sub-trees, finally obtained the maximal frequent itemsets. The experimental results...
The relationship between hyperlipidemia and sensorineural hearing loss remains obscure. In this study, we elucidate for the first time the cochlear morphological and auditory alterations and their relationships with hyperlipidemia, atherosclerosis, and endothelial dysfunction in apolipoprotein-E knockout (ApoE-KO) mice. Ten-week-old ApoE-KO mice were fed either atherosclerotic diet (1.25% cholesterol)...
Our previous characterization of prestin knockout (-/-) mice demonstrated that prestin is required for the eletromotility of outer hair cells (OHCs) and for the cochlear amplifier. Because hair-cell loss was observed in the basal 25% of cochleae in adult prestin-/- mice, it remained unclear how hair-cell loss progressed, whether hearing thresholds were elevated, and whether OHCs had normal ultra-structure...
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