MultiScale Modeling of Islamic Organizations in UK
| Autor: | Zheng Wang, Nyunsu Kim, Sukru Tikves, Hasan Davulcu, Jonathan Githens-Mazer |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Computer science
business.industry computer.internet_protocol QUIC Machine learning computer.software_genre Multiscale modeling Set (abstract data type) Matrix (mathematics) Discriminative model Ranking Artificial intelligence Data mining business Baseline (configuration management) computer Sparse matrix |
| Zdroj: | SocialCom |
| DOI: | 10.1109/socialcom.2013.8 |
| Popis: | In this paper we utilize an efficient sparse inverse covariance matrix (precision matrix) estimation technique to identify a set of highly correlated discriminative perspectives. We develop a ranking system that utilizes ranked perspectives to map 26 UK Islamic organizations on a set of socio-cultural, political and behavioral scales based on their web corpus. We create a gold standard ranking of these organizations through an expertise elicitation tool. We compute expert-to-expert agreements, and we present experimental results comparing the performance of the QUIC based scaling system to another baseline method. The QUIC based algorithm not only outperforms the baseline method, but it is also the only system that consistently performs at area expert-level accuracies for all scales. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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