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Temporal Analysis on Pairs of Classified Index Terms of Literature Databases

Ma, Zheng and Weihe, Karsten (2014):
Temporal Analysis on Pairs of Classified Index Terms of Literature Databases.
In: 10th International Conference on Webometrics, Informetrics, and Scientometrics (WIS) and the 15th COLLNET Meeting 2014, Ilmenau, Germany, [Conference or Workshop Item]

Abstract

Trend analysis and anomaly detection is gaining more and more interest since more than a decade. It gains focus in the new era of web2.0. As part of the project Knowledge Discovery in Scientific Literature, we developed new promising perspectives to detect trend and other interesting temporal patterns of index terms in the literature databases of educational domain. More specifically, we assign categories to index terms and investigate the index term pairs of special interest. We designed several measures to capture the characteristics of the evolution of individual index terms and pairs of index terms. Result shows our methodology is effective to find interesting temporal patterns, e.g. dependency relationship between index terms and helpful to detect trend.

Item Type: Conference or Workshop Item
Erschienen: 2014
Creators: Ma, Zheng and Weihe, Karsten
Title: Temporal Analysis on Pairs of Classified Index Terms of Literature Databases
Language: English
Abstract:

Trend analysis and anomaly detection is gaining more and more interest since more than a decade. It gains focus in the new era of web2.0. As part of the project Knowledge Discovery in Scientific Literature, we developed new promising perspectives to detect trend and other interesting temporal patterns of index terms in the literature databases of educational domain. More specifically, we assign categories to index terms and investigate the index term pairs of special interest. We designed several measures to capture the characteristics of the evolution of individual index terms and pairs of index terms. Result shows our methodology is effective to find interesting temporal patterns, e.g. dependency relationship between index terms and helpful to detect trend.

Title of Book: 10th International Conference on Webometrics, Informetrics, and Scientometrics (WIS) and the 15th COLLNET Meeting 2014
Uncontrolled Keywords: Knowledge Discovery in Scientific Literature;Temporal Analysis, Index Term, Co-occurrence, Scientific Literature, Trend Detection
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Event Location: Ilmenau, Germany
Date Deposited: 31 Dec 2016 00:25
Identification Number: TUD-CS-2014-0946
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