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"Introduction to Privacy-Preserving Data Publishing" presents state-of-the-art information sharing and data integration methods that take into account privacy and data mining requirements.
This full-color text discusses EDA and how interactive graphical methods can help gain insights as well as generate new questions and... Læs mere
This book is designed both as a text for graduate level courses in human resource systems, human capital analytics, and data mining as well as a resource... Læs mere
Evolutionary multi-objective optimization (EMO) has emerged as a sub-discipline of multi-objective optimization, combining the fields... Læs mere
This book presents state-of-the-art research, methodologies, and applications of high performance computing for big data... Læs mere
The third edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining.
If you want to learn how to analyze your data with R, this is your book. A broad range of real-world case studies highlights the breadth and... Læs mere
This book explains the world of database systems to bioinformatics and cheminformatics database users. It begins with a survey of popular databases, including primary... Læs mere