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J Am Med Inform Assoc 14:651-661 doi:10.1197/jamia.M2215
  • Original Investigation

A Document Clustering and Ranking System for Exploring MEDLINE Citations

Table 4

“Breast cancer” Data set Computing Time for Each Phase in Our System

# of documents Computing Time (in seconds)
Text pre-processing 77,784 ∼45
Text clustering (using CLUTO) 77,784 14.28
Keyword Extraction
Cluster A 8,212 0.77
Cluster B 6,159 0.66
Cluster C 13,122 1.057
Cluster D 16,292 0.97
Cluster E 21,005 1.25
Cluster F 12,994 1.09
MeSH term Extraction
Cluster A 8,212 0.41
Cluster B 6,159 0.33
Cluster C 13,122 0.58
Cluster D 16,292 0.66
Cluster E 21,005 0.81
Cluster F 12,994 0.59
Document ranking
Cluster A 8,212 0.20
Cluster B 6,159 0.11
Cluster C 13,122 0.27
Cluster D 16,292 0.30
Cluster E 21,005 0.44
Cluster F 12,994 0.28
Total 70.06

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