Sentence examples for items in the data from inspiring English sources
Association rules aims in extracting important correlation, frequent pattern, association or casuals structures among the set of items in the data sets [5].
We often have occasion to refer to finite initial segments of a data stream, and introduce some special notation for this purpose: Let ε|n denote the first n evidence items in the data stream ε.
We demonstrate that the currently existing metrics of friends' influence are biased by the presence of highly popular items in the data, and as a result can lead to an illusion of friends influence where there is none.
We additionally use 10-fold stratified cross-validation testing strategy: for each test we train on 90% of the data and test on the remaining 10% and each fold set contains approximately the same percentage of samples of each target class as the complete set since the number of prediction items in the data are in the order of (|V^{mathcal{M}}|^{2}).
This indicates that these items are unrelated to other items in the data set.
In this model, four items were deleted from the final analysis due to low correlations with all other items in the data.
For example, Figure 1 shows the RT distribution of an item in the data set examined in this paper.
According to Benford's law, the probability that the first decimal-digit of an item in the data sample is d (from 1 to 9) equals log10(d + 1) − log10(d), regardless of the unit of measurement.
It is thus possible to relate to the ICF and ICF-related national data standards: the service target group specified in Agreements to 2007, key data items in the related data collection on services, and national disability surveys.
Before the item response theory based analysis was carried out, 55 of 170 items included in the data collection design were removed from the item bank because they were judged to be unsuitable for inclusion in the ALDS item bank.
Table 10 summarizes the characteristics of the data sets: database is the database appellation, # Items is the item count in the data set, # AR is the association rules count, and # Transaction is the transaction count in the data set and Avg.
