Shopping cart
Your cart empty!
Terms of use dolor sit amet consectetur, adipisicing elit. Recusandae provident ullam aperiam quo ad non corrupti sit vel quam repellat ipsa quod sed, repellendus adipisci, ducimus ea modi odio assumenda.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Dolor sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Sit amet consectetur adipisicing elit. Sequi, cum esse possimus officiis amet ea voluptatibus libero! Dolorum assumenda esse, deserunt ipsum ad iusto! Praesentium error nobis tenetur at, quis nostrum facere excepturi architecto totam.
Lorem ipsum dolor sit amet consectetur adipisicing elit. Inventore, soluta alias eaque modi ipsum sint iusto fugiat vero velit rerum.
Do you agree to our terms? Sign up
Virtually all nontrivial and modern service related problems and systems involve data volumes and types that clearly fall into what is presently meant as "big data", that is, are huge, heterogeneous, complex, distributed, etc.
Data mining is a series of processes which include collecting and accumulating data, modeling phenomena, and discovering new information, and it is one of the most important steps to scientific analysis of the processes of services.
Data mining application in services requires a thorough understanding of the characteristics of each service and knowledge of the compatibility of data mining technology within each particular service, rather than knowledge only in calculation speed and prediction accuracy. Varied examples of services provided in this book will help readers understand the relation between services and data mining technology. This book is intended to stimulate interest among researchers and practitioners in the relation between data mining technology and its application to other fields.
Comments