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Titlebook: Intelligent Information and Database Systems; 8th Asian Conference Ngoc Thanh Nguyen,Bogdan Trawiński,Tzung-Pei Hong Conference proceedings

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樓主: 果園
11#
發(fā)表于 2025-3-23 10:42:52 | 只看該作者
0302-9743 dings of the 8th Asian Conference on IntelligentInformation and Database Systems, held in Da Nang, Vietnam, in March 2016. Thetotal of 153 full papers accepted for publication in these proceedings wascarefully reviewed and selected from 392 submissions. .They wereorganized in topical sections named:
12#
發(fā)表于 2025-3-23 17:35:09 | 只看該作者
13#
發(fā)表于 2025-3-23 19:29:51 | 只看該作者
14#
發(fā)表于 2025-3-23 23:38:44 | 只看該作者
15#
發(fā)表于 2025-3-24 05:58:06 | 只看該作者
Big Data in Contemporary Linguistic Research. In Search of Optimum Methods for Language Chronologizanother historical text. Our knowledge about past times is growing by leaps and bounds. We are therefore particularly interested in the analysis of historical texts that can be carried out in the second decade of the 21st century.
16#
發(fā)表于 2025-3-24 09:16:26 | 只看該作者
17#
發(fā)表于 2025-3-24 14:21:40 | 只看該作者
18#
發(fā)表于 2025-3-24 15:17:47 | 只看該作者
Temporal Ontology Representation and Reasoning Using Ordinals and Sets for Historical Eventsistorical ontology by applying the concept of ordinals and sets and introduces operators that allow a QA system to easily handle complex temporal queries. To verify the effectiveness of the proposed model and operators, historical scenarios are presented to show that they can effectively handle complex temporal queries.
19#
發(fā)表于 2025-3-24 21:22:16 | 只看該作者
Empirical Analysis of the Relationship Between Trust and Ratings in Recommender Systems trust and ratings. This paper empirically analyses real-world ratings data and their associated trust networks. Specifically, we focus our analysis on comparative characteristics of cold users vs. non-cold users. Our results show that the characteristics of cold users and non-cold users are significantly different.
20#
發(fā)表于 2025-3-25 00:20:22 | 只看該作者
Improving Twitter Aspect-Based Sentiment Analysis Using Hybrid Approachlysis problem. The performance is evaluated using hate crime domain and other benchmark dataset in order to evaluate the results and the finding can be used to improve the accuracy for the aspect-based sentiment classification.
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