Exploratory Data Mining and Data Cleaning will serve as an important reference for serious data analysts who need to analyze large amounts of unfamiliar data, managers of operations databases, and students in undergraduate or graduate level courses dealing with large scale data analys is and data mining.
This book integrates the theory and practice of distributed operating systems and algorithms. It combines coverage of distributed operating systems and distributed algorithms, allowing instructors to cover the algorithms involved in distributed operating systems with optional depth as desired and motivate the study of distributed algorithms by showing how they are applied in operating systems. Currently all books treat these as separate topics. This text includes coverage of parallel systems, distributed systems, real-time systems, computer networks and algorithms for asynchronous distributed systems, and uses examples from many commercial and experimental operating systems. Included in the book are a number of programming projects.