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The data set is divided into an increasing size of documents simulating interactive annotation.
The average size of documents is higher than the median which means this distribution is skewed.
Further, there is a large variability in the size of documents in the collection.
Table 7 Statistics of the document size distribution Average size of documents 288 Median size of documents 90 Size of largest document 126,712 Size of smallest document 1.
With the popularity of Internet and World Wide Web (WWW, Web), the size of documents on the Web grows dramatically.
In our method, we determined the precision by utilizing a large representative sample (determined statistically) of extracted entities which were drawn from a large size of documents.
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In this study, we design and experiment a parallel k-means algorithm using MapReduce programming model and compared the result with sequential k-means for clustering varying size of document dataset.
Because the entities extracted using the method discussed in this paper have very high precision and are run against a decent size of document set, they will make a very good training set for ML algorithms.
Finally, we require a minimum cluster size of 25 documents; thus, clusters with fewer than 25 documents are merged with the cluster which is most similar (based on similarities between cluster members) until no clusters with fewer than 25 members remain.
"The smaller practices just can't make it through the EU procurement rules that most housing associations use, due to onerous requirements on turnover and the sheer size of the documents to fill out".
The size of requirements documents of both software systems was similar.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com