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Investigative Data Mining for Security and Criminal Detection

Investigative Data Mining for Security and Criminal Detection is the first book to outline how data mining technologies can be used;

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Data Mining for Intelligence, Fraud & Criminal Detection

Mining for Intelligence, Fraud & Criminal Detection: Advanced Analytics & Information Sharing Technologies reviews the tangible results produced;

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Machine Learning Forensics for Law Enforcement, Security, and Intelligence

interrogate the evidence. This powerful data is indispensable for fraud detection, cybersecurity, competitive counterintelligence, and corporate and;

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Machine Learning Applications for Accounting Disclosure and Fraud Detection

fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book;

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Fraud and Fraud Detection

are easily hidden in these enormous datasets, but Fraud and Fraud Detection helps readers gain the data analytics skills that can bring these;

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Outlier Detection Techniques and Applications

mining due to its significance in many contemporary applications. More specifically, the detection of fraud in e-commerce transactions and;

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Healthcare Fraud

Edition of Healthcare Fraud: Auditing and Detection Guide is the must-have reference for auditors, fraud investigators, and healthcare managers;

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Intelligence and Security Informatics

data management, data and text mining for ISI applications, terrorism informatics, deception and intent detection, terrorist and criminal;

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The Text Mining Handbook

new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion;

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Bank Fraud

of technology, data sharing, and analysis, along with other in-depth information, including: * The challenges of fraud detection in a financial services;

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AdaBoost Extensions for Cost-Sensitive Classification

-sensitive data mining is an essential technique of data mining for applications like fraud-detection and loan-approval where the cost;

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Data Mining Tools for Malware Detection

Although the use of data mining for security and malware detection is quickly on the rise, most books on the subject provide high-level;

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Contemporary Perspectives in Data Mining

The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Contemporary Perspectives in Data Mining

The series, Contemporary Perspectives in Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Contemporary Perspectives in Data Mining, Volume 3

The series, Contemporary Perspectives on Data Mining, is composed of blind refereed scholarly research methods and applications of data;

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Fraud Analytics Using Descriptive Predic

Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor;

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Data Mining & Management

of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Consequently, data management is the development;

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Fraud Analytics

Looking for less theory and more hands-on methods for finding and flinging fraud from your business? Packed with countless software options;

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Intelligent Data Mining and Fusion Systems in Agriculture

Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have;

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Fraud Data Analytics Methodology Fraud S

fraud detection with a solid framework for a robust data analytic plan. By combining fraud risk assessment and fraud data analytics, you'll be;

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The Mathematical Sciences' Role in Homeland Security

Mathematical sciences play a key role in many important areas of Homeland Security including data mining and image analysis and voice;

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Integration Challenges for Analytics, Business Intelligence, and Data Mining

information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business;

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Computer Aided Fraud Prevention And Detection

Using software to detect improper transactions are techniques that have grown in importance for fraud examiners. This book provides fraud;

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Advances in K-means Clustering

Nearly everyone knows K-means algorithm in the fields of data mining and business intelligence. But the ever-emerging data with extremely;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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Advances in Knowledge Discovery and Data Mining

Knowledge Discovery and Data Mining, PAKDD 2019, held in Macau, China, in April 2019. The 137 full papers presented were carefully reviewed;

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