一种基于多源大数据关联性分析的用户标签自动获取方法
本发明提出一种基于多源大数据关联性分析的用户标签自动获取方法,包括:步骤S1、多源数据采集与预处理;步骤S2、基于HSIC的干扰源标签生成;步骤S3、基于一维卷积神经网络与跨模态注意力融合的多源映射建模;步骤S4、基于图注意力网络GAT的用户标签全周期管理。本发明实现了多源异构数据的深度关联分析,能够更全面地反映用户综合用电水平与电能质量发射特征,提升用户标签的覆盖度与精细度。
APPLICANTS
Browse source applicant names and unchanged name fields from imported patent records.
These are name-based results, not verified legal entities. Identical names may refer to different people or organizations; aliases and historical names are not merged.
This name was extracted from a distinct applicant node in the source XML.
1 indexed patent records
Patent counts refer to distinct records held by this site, not an applicant’s complete portfolio. A joint name field is not a single company.
Verified corpus date coverage and last import time are not currently available. Publication dates on patent records are not import dates. Cached directory results may lag behind new imports.
Search the local original applicant field containing this full text. Results may include joint lists or longer names; this is not an exact identity search.
Search patents with this applicant condition