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Titlebook: Information Integration and Web Intelligence; 25th International C Pari Delir Haghighi,Eric Pardede,Ismail Khalil Conference proceedings 20

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樓主: ACID
11#
發(fā)表于 2025-3-23 12:34:13 | 只看該作者
A Label Aggregation Method Using Worker Quality in?Crowdsourcinghod would be better quality than those obtained by a majority vote. Then, we experimented to verify the effectiveness of our method. The accuracy of the labels obtained by applying our method was 0.6685. We can reduce the influence of vandal workers and obtain high-quality labels.
12#
發(fā)表于 2025-3-23 14:45:44 | 只看該作者
Towards a?Unified Symbolic AI Framework for?Mining High Utility Itemsetsantly enhance the efficiency and effectiveness of mining high utility patterns, making it a valuable tool for various data mining applications. Finally, we show through an extensive campaign of experiments on several popular real-life datasets the efficiency of our proposed approach.
13#
發(fā)表于 2025-3-23 18:33:56 | 只看該作者
Data Integration in a Multi-model Environmentnd aggregation functions enables to build a powerful query language. We consider the relational, E-R, JSON, and graph data/conceptual models. A query over such integrated DB can be expressed by a term of the typed lambda calculus. A more user-friendly version of such language can serve as a powerful query tool in practice.
14#
發(fā)表于 2025-3-23 23:04:47 | 只看該作者
On Observing Patterns of?Correlations During Drill-Downviour of Pearson correlation at different drill-down levels in the well-known meteorological data set CMDC. We test the hypothesis that the Pearson correlation between various attributes is preserved during drill-down and provide a systematic discussion of the outcome of these tests.
15#
發(fā)表于 2025-3-24 05:45:38 | 只看該作者
Conference proceedings 2023ed from 96 submissions. The papers are divided into the following topical sections: business data and applications; data management; deep and machine Learning; generative AI; image data and knowledge graph; recommendation systems; similarity measure and metric; and topic and text matching..
16#
發(fā)表于 2025-3-24 09:04:54 | 只看該作者
Conference proceedings 2023 2023, organized in conjunction with the 21st International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM2023, held in Denpasar, Bali, Indonesia, during December 4-6, 2023..The 24 full papers and 24 short papers presented in this book were carefully reviewed and select
17#
發(fā)表于 2025-3-24 14:44:33 | 只看該作者
0302-9743 nce, iiWAS 2023, organized in conjunction with the 21st International Conference on Advances in Mobile Computing and Multimedia Intelligence, MoMM2023, held in Denpasar, Bali, Indonesia, during December 4-6, 2023..The 24 full papers and 24 short papers presented in this book were carefully reviewed
18#
發(fā)表于 2025-3-24 15:41:02 | 只看該作者
How Domain Engineering Can Help to?Raise Adoption Rates of?Artificial Intelligence in?Healthcarerofessionals and domain experts. It facilitates establishing a shared comprehension of the domain and hopefully contributes significantly to increasing the value and adoption rates of DDSSs in the clinical process. In this paper, we are proposing our work-in-progress ideas and preliminary results.
19#
發(fā)表于 2025-3-24 20:41:05 | 只看該作者
20#
發(fā)表于 2025-3-25 00:40:38 | 只看該作者
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