Domain Driven Data Mining offers state-art-research and the results of the development of methodologies, techniques, approaches and successful applications in the domain driven, actionable knowledge discovery. Details of a paradigm shift from "data-centered pattern mining" to "driven actionable knowledge discovery domain" for the next generation KDD research and application. Bridging the gap between business expectations and the output of research through a detailed exploration, thought the findings and lessons in conducting several large-scale, real-world applications of data mining business Including techniques, methodologies and case studies on real life data mining company New address areas such as mining blog Domain Driven Data Mining suitable for researchers, practitioners and students in the field of data mining and knowledge discovery, knowledge engineering, human-computer interaction, artificial intelligence, intelligent information processing, decision support systems, knowledge management, project management and KDD.