Extracting the patterns of truthfulness from political information systems in Serbia-Reference-Cited by-同舟云学术

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Extracting the patterns of truthfulness from political information systems in Serbia

Published:2015-09-26 Issue:1 Volume:19 Page:109-127
ISSN:1387-3326
Container-title:Information Systems Frontiers
language:en
Short-container-title:Inf Syst Front

Author:

Tomašev Nenad

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software

Link

http://link.springer.com/content/pdf/10.1007/s10796-015-9596-8.pdf

Reference72 articles.

1. Adamic, L., & Glance, N. (2005). The political blogosphere and the 2004 U.S. election: Divided they blog. In In LinkKDD’05: Proceedings of the 3rd international workshop on Link discovery (pp. 36–43).

2. Adamo, J. (2001). Data Mining for Association Rules and Sequential Patterns: Sequential and Parallel Algorithms. Berlin: Springer.

3. Agirre, E., Martínez, D., de Lacalle, O.L., & Soroa, A (2006). Two graph-based algorithms for state-of-the-art WSD. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 585–593).

4. Agrawal, R., Imieliński, T., & Swami, A. (1993). Mining association rules between sets of items in large databases. SIGMOD Rec, 22(2), 207–216.

5. AlSumait, L., Barbara, D., & Domeniconi, C. (2008). On-line LDA: Adaptive topic models for mining text streams with applications to topic detection and tracking. In Eighth IEEE International Conference on Data Mining (ICDM) (pp. 3–12).

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