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However, for very high dimensional data, this strategy cannot fully utilize the minimum support constraint to prune the rowset search space.
In this paper, we propose a new method called top-down mining together with a novel row enumeration tree to make full use of the pruning power of the minimum support constraint.
Pei et al. [ 34] proved that the minimum support constraint is anti-monotonic.
The first constraint of the algorithm WildSpan is the minimum support constraint λ.
If a pattern P = Ψ1-x s1, e1)-...-x(s p-1, e p -1)- Ψ1-x s1isfie1 -...-xnimum support constraint, the1 -...-xpatte1 -...-xis composed of any subsets of the blocks in P also satisfies the minimum support constraint.
The minimum support constraint is critical to the quality of mining results, but it is difficult to determine in advance since the minimum support of satisfied patterns cannot be accessed before they are discovered.
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Second, these methods can generate a large number of patterns since they only consider the minimum support as constraint to select patterns.
It utilizes a series of high quality class association rules (CARs) mined from the training dataset upon predefined minimum support and confidence constraints to build highly accurate classifiers [11].
Besides the traditional minimum support and confidence, two new constraints, schema and opportunistic confidence, are considered.
The input of the algorithm is uncertain big data, user-specified minimum support (minsup) threshold, and the SAM constraints.
In general, MFS-EDC outperforms both MFS-PP-EDC and MFS-E-EDC, especially when the minimum support is lower and the number of constraints is high.
More suggestions(15)
minimum displacement constraint
minimum power constraint
minimum distance constraint
minimum support price
minimum support threshold
minimum frequency constraint
minimum network constraint
minimum energy constraint
minimum support force
minimum support stiffness
minimum curvature constraint
minimum support item
minimum support package
minimum quality constraint
minimum confidence constraint
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