Formal concept analysis for topic detection: A clustering quality experimental analysis-Reference-Cited by-同舟云学术

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Formal concept analysis for topic detection: A clustering quality experimental analysis

Published:2017-06 Issue: Volume:66 Page:24-42
ISSN:0306-4379
Container-title:Information Systems
language:en
Short-container-title:Information Systems

Author:

Castellanos A.^ORCID,Cigarrán J.,García-Serrano A.

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference63 articles.

1. Sensing trending topics in twitter;Aiello;IEEE Trans. Multimedia,2013

2. On-line LDA: Adaptive Topic Models for Mining Text Streams with Applications to Topic Detection and Tracking;AlSumait,2008

3. Overview of Replab 2013: evaluating Online Reputation Monitoring Systems;Amigó,2013

4. A General Evaluation Measure for Document Organization Tasks;Amigó,2013

5. Topic models vs. unstructured data;Anthes;Commun. ACM,2010

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