Covering research at the frontier of this field, this volume presents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, which face the increasing heterogeneity and complexity of new forms of data. Renowned authorities from prominent organizations cover well-established results as well as explore complex domains where privacy issues are generally clear and well defined, but the solutions are still preliminary and in continuous development. The book focuses on intricate, real-world applications in medicine, biology, the web, social networks, and mobility observation systems.