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This accessible but rigorous introduction is written for advanced undergraduates and beginning graduate students in data... Læs mere
This textbook provides a strong foundation and comprehensive overview for students and an invaluable synthesis of cutting-edge... Læs mere
This self-contained introduction to kernelization, a rapidly developing area of preprocessing analysis, is for researchers, professionals, and graduate... Læs mere
This comprehensive review for researchers and practitioners in data mining and social networks surveys recent progress in team science. Focusing... Læs mere
An easy-to-read guide on basic concepts of data structures, this textbook covers the theoretical side to the art of writing computer programs. Designed for undergraduates in any quantitative field, the book covers all the most common data structures.
This volume surveys many exciting recent developments in the field of algorithmic randomness and its interactions with other areas of mathematics, presenting... Læs mere
Contains case studies on the practical application of data science and analytic tools in vehicles and smart cities and elaborates on how big data can expand their design and engineering.