Shill Bidding (SB) dataset

本研究构建了一个高质量的Shill Bidding (SB)数据集，用于在线拍卖欺诈检测。数据集包含1444个拍卖数据，涵盖了拍卖详情、投标者历史等信息。数据集通过爬取eBay网站的iPhone 7拍卖数据创建，经过严格预处理，包括数据清洗、格式转换和异常值处理。该数据集旨在帮助研究者开发和测试用于识别在线拍卖中欺诈行为的机器学习模型，特别是在检测Shill Bidding欺诈方面。

This study constructs a high-quality Shill Bidding (SB) dataset for online auction fraud detection. The dataset contains 1,444 auction records, covering information such as auction details and bidder histories. It was developed by scraping iPhone 7 auction data from the eBay website, and has undergone rigorous preprocessing including data cleaning, format conversion, and outlier handling. This dataset is designed to assist researchers in developing and testing machine learning models for identifying fraudulent behaviors in online auctions, particularly for detecting Shill Bidding fraud.

搜集汇总

背景与挑战

背景概述

该数据集是一个专注于在线拍卖欺诈的高质量Shill Bidding（SB）数据集，旨在解决SB检测研究中训练数据不足的难题。它通过爬取和预处理大量拍卖和竞标者历史数据，引入新SB模式并去除异常值，为机器学习技术应用提供支持。