Ergebnisse für: Data preparation
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Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Fur...
This groundbreaking, open access volume analyses and compares data practices across several fields through the analysis of specific cases of data journeys. It brings together leading scholars in the philosophy, history and social studies of science to achieve two goals: tracking the travel of data a...
Besides this Data Management Fundamentals (DMF) CDMP exam preparation book, you are advised to obtain the publication the Data Management courseware based on CDMP Fundamentals - Revised edition (ISBN: 9789401811491) for your preparation for your Certified Data Management Professional (CDMP) certifi...
This comprehensive bibliography (6248 entries) is the first of its kind in the general field of nuclear target preparation for use with particle accelerators. The dates covered are 1936 to June 1980. The bibliography includes thin and thick particle accelerator targets as well as the prepa ration an...
This book contains th~ Proceedings of the World Conference of the International Nuclear Target Development Society held in Boston, October 1-3, 1979. Approximately seventy participants and registrants from the following countries attended this Conference: Belgium, Canada, Denmark, United Kingdom, Ge...
This book contains th~ Proceedings of the World Conference of the International Nuclear Target Development Society held in Boston, October 1-3, 1979. Approximately seventy participants and registrants from the following countries attended this Conference: Belgium, Canada, Denmark, United Kingdom, Ge...
Data Preprocessing for Data Mining addresses one of the most important issues within the well-known Knowledge Discovery from Data process. Data directly taken from the source will likely have inconsistencies, errors or most importantly, it is not ready to be considered for a data mining process. Fur...