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Chao Ou-Yang, Chandrawati Putri Wulandari, Mohammad Iqbal, Han-Cheng Wang and Chiehfeng Chen
Today, patients generate a massive amount of health records through electronic health records (EHRs). Extracting usable knowledge of patients? pathological conditions or diagnoses is essential for the reasoning process in rule-based systems to support th...
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Hua Jiang, Junfeng Kang, Zhenhong Du, Feng Zhang, Xiangzhi Huang, Renyi Liu and Xuanting Zhang
Faced with the rapid growth of vector data and the urgent requirement of low-latency query, it has become an important and timely challenge to effectively achieve the scalable storage and efficient access of vector big data. However, a systematic method ...
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Ives Renê Venturini Pola, Fernanda Paula Barbosa Pola and Danilo Medeiros Eler
Many modern applications deal with complex data, where retrieval by similarity plays an important role. Complex data main comparison mechanisms are based on similarity predicates. They are usually immersed in metric spaces where distance functions are em...
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Vered Silber-Varod, Yoram Eshet-Alkalai, Nitza Geri
Pág. 82 - 98
This study examines the potential of big data discourse analysis (i.e., culturomics) to produce valuable knowledge, and suggests a mixed methods model for improving the effectiveness of culturomics. We argue that the importance and magnitude of using qua...
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Xiaomei Liu; Yunhao Liu; Li Xiao
Pág. 1335 - 1347
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