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Language: en
Pages: 374
Pages: 374
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increas
Language: en
Pages: 374
Pages: 374
Data mining is the art and science of intelligent data analysis. By building knowledge from information, data mining adds considerable value to the ever increas
Language: en
Pages: 127
Pages: 127
Educational Data Mining (EDM) is one of the emerging fields in the pedagogy and andragogy paradigm, it concerns the techniques which research data coming from t
Language: en
Pages: 312
Pages: 312
R for Business Analytics looks at some of the most common tasks performed by business analysts and helps the user navigate the wealth of information in R and it
Language: en
Pages: 244
Pages: 244
Data mining, an interdisciplinary field combining methods from artificial intelligence, machine learning, statistics and database systems, has grown tremendousl
Language: en
Pages: 470
Pages: 470
While SAS and SPSS have many things in common, R is very different. My goal in writing this book is to help you translate what you know about SAS or SPSS into a
Language: en
Pages: 406
Pages: 406
This book includes a selection of papers from the 2018 World Conference on Information Systems and Technologies (WorldCIST'18), held in Naples, Italy on March27
Language: en
Pages: 404
Pages: 404
This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing in Data Science, SCDS 2018, held in Bangkok, Thailand, in A
Language: en
Pages: 460
Pages: 460
Metabolomics and proteomics allow deep insights into the chemistry and physiology of biological systems. This book expounds open-source programs, platforms and
Language: en
Pages: 259
Pages: 259
Introduction to Biomedical Data Science aims to fill the data science knowledge gap experienced by many clinical, administrative and technical staff. The textbo