Zobrazeno 1 - 10
of 529
pro vyhledávání: '"Chen, Zefeng"'
In recent years, data mining technologies have been well applied to many domains, including e-commerce. In customer relationship management (CRM), the RFM analysis model is one of the most effective approaches to increase the profits of major enterpr
Externí odkaz:
http://arxiv.org/abs/2411.05317
The era characterized by an exponential increase in data has led to the widespread adoption of data intelligence as a crucial task. Within the field of data mining, frequent episode mining has emerged as an effective tool for extracting valuable and
Externí odkaz:
http://arxiv.org/abs/2406.05070
We systematically investigate the effects of Kitaev interaction on magnetic orders and anisotropy in both triangular and honeycomb lattices. Our study highlights the critical role of the Kitaev interaction in modulating phase boundaries and predictin
Externí odkaz:
http://arxiv.org/abs/2406.03811
Autor:
Chen, Zefeng, Zhang, Binhua, Zhu, Weiqin, Li, Lianchuang, Liu, Boyu, Feng, Junsheng, Xu, Changsong, Xiang, Hongjun
Kitaev spin liquid is proposed to be promisingly realized in low spin-orbit coupling $3d$ systems, represented by Na$_3$Co$_2$SbO$_6$ and Na$_3$Ni$_2$BiO$_6$. However, the existence of Kitaev interaction is still debatable among experiments, and obta
Externí odkaz:
http://arxiv.org/abs/2406.03338
To address challenges in the digital economy's landscape of digital intelligence, large language models (LLMs) have been developed. Improvements in computational power and available resources have significantly advanced LLMs, allowing their integrati
Externí odkaz:
http://arxiv.org/abs/2405.13055
The prevalence of online content has led to the widespread adoption of recommendation systems (RSs), which serve diverse purposes such as news, advertisements, and e-commerce recommendations. Despite their significance, data scarcity issues have sign
Externí odkaz:
http://arxiv.org/abs/2312.10073
The exploration of multimodal language models integrates multiple data types, such as images, text, language, audio, and other heterogeneity. While the latest large language models excel in text-based tasks, they often struggle to understand and proc
Externí odkaz:
http://arxiv.org/abs/2311.13165
With the widespread application of efficient pattern mining algorithms, sequential patterns that allow gap constraints have become a valuable tool to discover knowledge from biological data such as DNA and protein sequences. Among all kinds of gap-co
Externí odkaz:
http://arxiv.org/abs/2306.06470
With the evolution of content on the web and the Internet, there is a need for cyberspace that can be used to work, live, and play in digital worlds regardless of geography. The Metaverse provides the possibility of future Internet and represents a f
Externí odkaz:
http://arxiv.org/abs/2304.13931
Sequential pattern mining (SPM) has excellent prospects and application spaces and has been widely used in different fields. The non-overlapping SPM, as one of the data mining techniques, has been used to discover patterns that have requirements for
Externí odkaz:
http://arxiv.org/abs/2304.11947