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Data analysis forms the basis of many modes of research ranging
from scientific discoveries to governmental findings. With the
advent of machine intelligence and neural networks, extracting and
modeling, approaching data has been unimpeachably altered. These
changes, seemingly small, affect the way societies organize
themselves, deliver services, or interact with each other.
Predictive Analysis on Large Data for Actionable Knowledge:
Emerging Research and Opportunities provides emerging information
on extraction and prediction patterns in data mining along with
knowledge discovery. While highlighting the current issues in data
extraction, readers will learn new methodologies comprising of
different algorithms that automate the multidimensional schema that
remove the manual processes. This book is a vital resource for
researchers, academics, and those seeking new information on data
mining techniques and trends.
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