通信抗干扰专利价值分析数据集

本数据集基于原始380条通信抗干扰专利数据，通过机器学习算法（K-means聚类）生成价值评分和等级。新增字段包括审查时间、价值分数（0-100分）和价值等级（High/Medium/Low），提供专利价值量化指标。数据记录数380条，结构完整，可用于价值驱动的知识产权管理。

This dataset is constructed from 380 original anti-interference communication patent records, and the value scores and grades are generated via the K-means clustering machine learning algorithm. Newly added fields include examination time, value score (0-100 points), and value grade (High/Medium/Low), which provide quantified metrics for patent value. There are 380 complete data records in total, and this dataset can be used for value-driven intellectual property management.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于通信抗干扰领域的专利价值分析，包含专利名称、专利价值和专利摘要三个关键字段，旨在提供专利基本信息与价值评估数据，适用于专利研究和价值挖掘应用。