合同管理及员工管理数据集

1.数据采集：整合合同基本信息、履约进度、员工档案、绩效考勤等多源数据，规范字段编码；2. 数据清洗规则：对涉及隐私数据进行脱敏化处理，对异常值做删除处理；3. 核心算法：决策树模型识别合同履约风险，K-means 聚类实现员工能力分级，时序分析追踪合同进度，保障数据应用精准高效。

1. Data Collection: Integrate multi-source data including basic contract information, contract execution progress, employee files, performance and attendance records, and standardize field coding;
2. Data Cleaning Rules: Perform data anonymization on privacy-related data, and delete abnormal values;
3. Core Algorithms: Use the Decision Tree model to identify contract execution risks, employ K-means clustering to classify employee competencies, and apply time series analysis to track contract progress, so as to ensure the accuracy and efficiency of data applications.