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This book teaches fundamentals of the stream processing paradigm that addresses performance, scalability and usability... Læs mere
Social Media Mining integrates social media, social network analysis, and data mining to provide a coherent platform for students, practitioners, researchers and... Læs mere
The book focusses on how machine learning and Internet of Things (IoT) has empowered the advancement of information driven arrangements including key... Læs mere
Offering key information on how to work with research data, this title presents ideas and techniques for performing critical, behind-the-scenes tasks that take up so much time and effort yet typically receive little attention in formal education.
Describes spatial data mining, and focuses on data quality. This book advises the use of granular computing as a means of circumventing spatial complexities. It also addresses quality aspects in the entire spatial data mining process, from data acquisition to end user.
Through the techniques of data mining, this book demonstrates how to effectively design business processes and develop competitive products and services. It... Læs mere
Presents comprehensive data mining concepts, theories and applications in biological and medical research. This book discusses challenge and opportunities in analyzing and mining... Læs mere
Identifying some of the most influential algorithms that are widely used in the data mining community, this book provides a description of each algorithm, discusses the impact of the algorithms, and reviews research on the algorithms.
Exploiting the information found in electronic health records (EHRs) can facilitate better medical research and improve the quality of medical practice. Addressing the challenges of leveraging this information, this book explores the technology to unleash the data stored in EHRs.
Offers the methods and tools for publishing useful information while preserving data privacy. This title presents a... Læs mere
Educational data mining (EDM) is an emerging discipline concerned with developing methods for exploring the different types of data that come from an educational context. This book presents the applications of data mining techniques in education.