Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities (Advances in Data Mining and Database Management) - Tapa dura

Usman, M.; Usman, Muhammad

 
9781522550297: Predictive Analysis on Large Data for Actionable Knowledge: Emerging Research and Opportunities (Advances in Data Mining and Database Management)
Tapa dura
ISBN 10: 1522550291 ISBN 13: 9781522550297
Editorial: Information Science Reference, 2018

Sinopsis

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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Acerca de los autores

Dr. Muhammad Usman has completed PhD in Computer & Information Sciences from Auckland University of Technology, New Zealand. He is currently an Associate Professor and Head of Computer Science Department at Shaheed Zulfikar Ali Bhutto Institute of Science and Technology (SZABIST), Islamabad, Pakistan. His research interests include Data Mining, Data Warehousing, Machine Learning, Business Intelligence and Knowledge discovery. He is currently researching in the novel methods and techniques for the seamless integration of Data Mining and Data Warehousing technologies. He has published in international journals and conference proceedings, and he has served as reviewer for a number of premier journals and conferences.

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.

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Editorial
Information Science Reference
Año de publicación
2018
Idioma
Inglés
ISBN 10 
1522550291
ISBN 13 
9781522550297
Encuadernación
Tapa dura
Número de páginas
192
Contacto del fabricante
no disponible
Persona responsable
gpsr@libri.de
gpsr@libri.de

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