array(35) { ["id"]=> string(4) "2110" ["type"]=> string(6) "course" ["title"]=> string(66) "基于逻辑回归分类算法的信用卡用户欺诈行为检测" ["subtitle"]=> string(0) "" ["creator"]=> array(6) { ["id"]=> string(1) "3" ["nickname"]=> string(5) "admin" ["title"]=> string(1) " " ["uuid"]=> string(40) "634d3b58166bfafd4069119be97ee6bfee064c52" ["destroyed"]=> string(1) "0" ["avatar"]=> array(3) { ["small"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" ["middle"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" ["large"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" } } ["showable"]=> string(1) "1" ["buyable"]=> string(1) "1" ["summary"]=> string(713) "

信用卡欺诈检测是金融领域中一个重要的研究课题,随着电子商务的快速发展,信用卡欺诈行为也日益增多,给金融机构和用户带来了巨大的经济损失。为了有效识别和预防信用卡欺诈行为,研究者们开发了多种检测技术,包括过采样技术、欠采样技术和混合技术等。本案例以Kaggle平台提供的公开的信用卡欺诈检测数据集为例,采用逻辑回归分类算法进行信用卡用户欺诈行为检测,首先对数据进行预处理,根据带有标签的信用卡交易记录数据,建立并训练分类模型,从而实现可以将无标签的信用卡交易记录分为正常类和异常类。

" ["minPrice"]=> string(4) "0.00" ["maxPrice"]=> string(4) "0.00" ["discountId"]=> string(1) "0" ["images"]=> array(3) { ["large"]=> string(76) "http://www.chinadatacase.com/files/course/2025/03-20/14445240e867015512.jpeg" ["middle"]=> string(76) "http://www.chinadatacase.com/files/course/2025/03-20/14445240f5b8819306.jpeg" ["small"]=> string(76) "http://www.chinadatacase.com/files/course/2025/03-20/14445240fbb5062486.jpeg" } ["ratingNum"]=> string(1) "0" ["rating"]=> string(1) "0" ["hitNum"]=> string(3) "294" ["hotSeq"]=> string(1) "0" ["maxPriceObj"]=> array(2) { ["currency"]=> string(3) "RMB" ["amount"]=> string(4) "0.00" } ["minPriceObj"]=> array(2) { ["currency"]=> string(3) "RMB" ["amount"]=> string(4) "0.00" } ["minDisplayPrice"]=> string(4) "0.00" ["maxDisplayPrice"]=> string(4) "0.00" ["minDisplayPriceObj"]=> array(2) { ["currency"]=> string(3) "RMB" ["amount"]=> string(4) "0.00" } ["maxDisplayPriceObj"]=> array(2) { ["currency"]=> string(3) "RMB" ["amount"]=> string(4) "0.00" } ["canManage"]=> bool(false) ["peopleShowNum"]=> string(3) "119" ["isMember"]=> bool(false) ["status"]=> string(7) "created" ["orgId"]=> string(1) "1" ["orgCode"]=> string(2) "1." ["recommendWeight"]=> string(1) "0" ["recommendedTime"]=> string(1) "0" ["createdTime"]=> string(25) "2025-01-13T17:24:55+08:00" ["updatedTime"]=> string(25) "2025-12-11T20:51:31+08:00" ["product"]=> array(7) { ["id"]=> string(4) "2111" ["targetType"]=> string(6) "course" ["title"]=> string(66) "基于逻辑回归分类算法的信用卡用户欺诈行为检测" ["owner"]=> string(1) "3" ["createdTime"]=> string(10) "1736760295" ["updatedTime"]=> string(10) "1742453104" ["target"]=> array(17) { ["id"]=> string(4) "2232" ["type"]=> string(6) "normal" ["title"]=> string(66) "基于逻辑回归分类算法的信用卡用户欺诈行为检测" ["subtitle"]=> string(0) "" ["summary"]=> string(713) "

信用卡欺诈检测是金融领域中一个重要的研究课题,随着电子商务的快速发展,信用卡欺诈行为也日益增多,给金融机构和用户带来了巨大的经济损失。为了有效识别和预防信用卡欺诈行为,研究者们开发了多种检测技术,包括过采样技术、欠采样技术和混合技术等。本案例以Kaggle平台提供的公开的信用卡欺诈检测数据集为例,采用逻辑回归分类算法进行信用卡用户欺诈行为检测,首先对数据进行预处理,根据带有标签的信用卡交易记录数据,建立并训练分类模型,从而实现可以将无标签的信用卡交易记录分为正常类和异常类。

" ["cover"]=> array(3) { ["large"]=> string(76) "http://www.chinadatacase.com/files/course/2025/03-20/14445240e867015512.jpeg" ["middle"]=> string(76) "http://www.chinadatacase.com/files/course/2025/03-20/14445240f5b8819306.jpeg" ["small"]=> string(76) "http://www.chinadatacase.com/files/course/2025/03-20/14445240fbb5062486.jpeg" } ["status"]=> string(9) "published" ["studentNum"]=> string(3) "119" ["discountType"]=> string(8) "discount" ["discount"]=> string(2) "10" ["minCoursePrice"]=> string(4) "0.00" ["maxCoursePrice"]=> string(4) "0.00" ["defaultCourseId"]=> string(4) "2238" ["productId"]=> string(4) "2111" ["goodsId"]=> string(4) "2110" ["minCoursePrice2"]=> array(2) { ["currency"]=> string(3) "RMB" ["amount"]=> string(4) "0.00" } ["maxCoursePrice2"]=> array(2) { ["currency"]=> string(3) "RMB" ["amount"]=> string(4) "0.00" } } } ["extensions"]=> array(3) { [0]=> string(8) "teachers" [1]=> string(14) "recommendGoods" [2]=> string(10) "isFavorite" } ["specs"]=> array(1) { [0]=> array(26) { ["id"]=> string(4) "2137" ["goodsId"]=> string(4) "2110" ["targetId"]=> string(4) "2238" ["title"]=> string(0) "" ["seq"]=> string(1) "1" ["status"]=> string(9) "published" ["price"]=> string(4) "0.00" ["coinPrice"]=> string(4) "0.00" ["usageMode"]=> string(7) "forever" ["usageDays"]=> string(1) "0" ["usageStartTime"]=> string(1) "0" ["usageEndTime"]=> string(1) "0" ["buyableStartTime"]=> string(1) "0" ["buyableEndTime"]=> string(1) "0" ["buyableMode"]=> NULL ["buyable"]=> string(1) "1" ["maxJoinNum"]=> string(1) "0" ["services"]=> array(0) { } ["priceObj"]=> array(2) { ["currency"]=> string(3) "RMB" ["amount"]=> string(4) "0.00" } ["displayPrice"]=> string(4) "0.00" ["displayPriceObj"]=> array(2) { ["currency"]=> string(3) "RMB" ["amount"]=> string(4) "0.00" } ["isMember"]=> bool(false) ["access"]=> array(2) { ["code"]=> string(14) "user.not_login" ["msg"]=> string(15) "用户未登录" } ["hasCertificate"]=> bool(false) ["learnUrl"]=> string(43) "http://www.chinadatacase.com/my/course/2238" ["teachers"]=> array(1) { [0]=> array(6) { ["id"]=> string(1) "3" ["nickname"]=> string(5) "admin" ["title"]=> string(1) " " ["uuid"]=> string(40) "634d3b58166bfafd4069119be97ee6bfee064c52" ["destroyed"]=> string(1) "0" ["avatar"]=> array(3) { ["small"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" ["middle"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" ["large"]=> string(75) "http://www.chinadatacase.com/files/user/otherform/1711697442_1722994936.png" } } } } } } 基于逻辑回归分类算法的信用卡用户欺诈行为检测 - 中国经管实验教学案例平台