{"product_id":"fraud-analytics-using-descriptive-predictive-and-social-network-techniques-a-guide-to-data-science-for-fraud-detection-9781119133124","title":"Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques: A Guide to Data Science for Fraud Detection","description":"\u003cb\u003eDetect fraud earlier to mitigate loss and prevent cascading damage\u003c\/b\u003e \u003cp\u003e\u003ci\u003eFraud Analytics Using Descriptive, Predictive, and Social Network Techniques \u003c\/i\u003eis an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more specialized techniques than detecting fraud at the more advanced stages. This invaluable guide details both the theory and technical aspects of these techniques, and provides expert insight into streamlining implementation. Coverage includes data gathering, preprocessing, model building, and post-implementation, with comprehensive guidance on various learning techniques and the data types utilized by each. These techniques are effective for fraud detection across industry boundaries, including applications in insurance fraud, credit card fraud, anti-money laundering, healthcare fraud, telecommunications fraud, click fraud, tax evasion, and more, giving you a highly practical framework for fraud prevention.\u003c\/p\u003e \u003cp\u003eIt is estimated that a typical organization loses about 5% of its revenue to fraud every year. More effective fraud detection is possible, and this book describes the various analytical techniques your organization must implement to put a stop to the revenue leak.\u003c\/p\u003e \u003cul\u003e \u003cli\u003eExamine fraud patterns in historical data\u003c\/li\u003e \u003cli\u003eUtilize labeled, unlabeled, and networked data\u003c\/li\u003e \u003cli\u003eDetect fraud before the damage cascades\u003c\/li\u003e \u003cli\u003eReduce losses, increase recovery, and tighten security\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eThe longer fraud is allowed to go on, the more harm it causes. It expands exponentially, sending ripples of damage throughout the organization, and becomes more and more complex to track, stop, and reverse. Fraud prevention relies on early and effective fraud detection, enabled by the techniques discussed here. \u003ci\u003eFraud Analytics Using Descriptive, Predictive, and Social Network Techniques\u003c\/i\u003e helps you stop fraud in its tracks, and eliminate the opportunities for future occurrence.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cb\u003eBART BAESENS\u003c\/b\u003e is a full professor at KU Leuven, and a lecturer at the University of Southampton. He has done extensive research on analytics, customer relationship management, web analytics, fraud detection, and credit risk management. He regularly advises and provides consulting support to international firms with respect to their analytics and credit risk management strategy.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eVÉRONIQUE VAN VLASSELAER\u003c\/b\u003e is a PhD researcher in the Department of Decision Sciences and Information Management at KU Leuven. Her research focuses on the development of new techniques for fraud detection by combining predictive and network analytics. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eWOUTER VERBEKE\u003c\/b\u003e is an assistant professor at Vrije Universiteit Brussel (Brussels, Belgium). His research is situated in the field of predictive analytics and complex network analysis with applications in fraud, marketing, credit risk, human resources management, and mobility.\u003cbr\u003e\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":50414764687634,"sku":"9781119133124","price":37.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_fe6d584b-228c-4a9a-a56d-6253cac778d2.jpg?v=1729382694","url":"https:\/\/surprise-castle.myshopify.com\/products\/fraud-analytics-using-descriptive-predictive-and-social-network-techniques-a-guide-to-data-science-for-fraud-detection-9781119133124","provider":"Surprise Castle","version":"1.0","type":"link"}