Tell us what's wrong and we'll take a look.
Thanks – we got it. We'll review and follow up if needed.
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.
M. Usman has completed his Masters in Computer Science from ZABIST, Islamabad, Pakistan. He is currently working as Web Manager at Pakistan Scientific and Technological Information Center, Islamabad, Pakistan. His research interests include Data Mining, Data Warehousing and Knowledge discovery. He has published his research work in international journals and conference proceedings.
Readwise Books is an ebook & audiobook platform that automatically logs how much you and your friends read, making it fun and easy to read more. Learn more →
Enter your email to continue. We'll create your account if you're new here.