Bridging Theory and Practice with Query Log Analysis

2019 ◽  
Vol 48 (1) ◽  
pp. 6-13 ◽  
Author(s):  
Wim Martens ◽  
Tina Trautner
Keyword(s):  
Theory And Practice ◽  
Log Analysis ◽  
Query Log ◽  
Query Log Analysis

Report on the TrebleCLEF query log analysis workshop 2009

2009 ◽  
Vol 43 (2) ◽  
pp. 71-77 ◽  
Author(s):  
Paul Clough ◽  
Bettina Berendt
Keyword(s):  
Log Analysis ◽  
Query Log ◽  
Query Log Analysis

Query Log Analysis in Biomedicine

2011 ◽  
pp. 359-377 ◽  
Author(s):  
Elmer V. Bernstam ◽  
Jorge R. Herskovic ◽  
William R. Hersh
Keyword(s):  
Biomedical Literature ◽  
Log Analysis ◽  
Biomedical Domain ◽  
Medical Subject Headings ◽  
Biomedical Knowledge ◽  
Query Log ◽  
Query Log Analysis ◽  
Unified Medical Language System ◽  
Medical Language ◽  
Query Logs

Clinicians, researchers and members of the general public are increasingly using information technology to cope with the explosion in biomedical knowledge. This chapter describes the purpose of query log analysis in the biomedical domain as well as features of the biomedical domain such as controlled vocabularies (ontologies) and existing infrastructure useful for query log analysis. We focus specifically on MEDLINE, which is the most comprehensive bibliographic database of the world’s biomedical literature, the PubMed interface to MEDLINE, the Medical Subject Headings vocabulary and the Unified Medical Language System. However, the approaches discussed here can also be applied to other query logs. We conclude with a look toward the future of biomedical query log analysis.

MR-CLOPE: A MapReduce based transactional clustering algorithm for DNS query log analysis

2015 ◽  
Vol 22 (9) ◽  
pp. 3485-3494 ◽  
Author(s):  
Ye-feng Li ◽  
Jia-jin Le ◽  
Mei Wang ◽  
Bin Zhang ◽  
Liang-xu Liu
Keyword(s):  
Clustering Algorithm ◽  
Log Analysis ◽  
Query Log ◽  
Query Log Analysis
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