2024年授权发明专利IPC分布数据集

2024年授权专利IPC分布数据集通过对2024年授权发明专利IPC分布情况进行深入分析，旨在各IPC部的分布情况，揭示技术热点。该数据集包含申请号/专利号、发明名称、申请人、申请日、授权公告日、主分类号、案件状态、IPC部、授权时间、省份等多种关键专利信息参数。该数据集不仅提供了不同申请人在2024年申请的发明专利IPC部和申请时间，还通过引入聚类分析和关联规则挖掘、时间序列分析以及回归分析等创新的加工处理操作，提高了发明专利IPC分布模型的准确性。The 2024 Authorized Patent IPC Distribution Dataset conducts an in-depth analysis of the IPC distribution of authorized invention patents in 2024, aiming to clarify the distribution of each IPC section and reveal technical hotspots. This dataset includes multiple key patent information parameters such as application number/patent number, invention title, applicant, application date, authorization announcement date, main classification number, case status, IPC section, authorization time, and province. This dataset not only provides the IPC sections and application dates of invention patents filed by different applicants in 2024, but also improves the accuracy of the invention patent IPC distribution model through innovative data processing operations including cluster analysis, association rule mining, time series analysis and regression analysis.

搜集汇总

背景与挑战

背景概述

该数据集包含2024年授权发明专利的IPC分布情况，涵盖申请号、发明名称、申请人等多种关键专利信息参数，旨在揭示技术热点。通过聚类分析、关联规则挖掘等处理方式，提高了发明专利IPC分布模型的准确性，适用于研发策略调整、市场动向预测等应用场景。