Predictive Analysis on Large Data for Actionable Knowledge

"This book explores the extraction and prediction of patterns at multiple levels of abstraction. It involves a procedure handling both numeric and nominal data at once using a single method and the methodology comprises of two algorithms to automate the multi-dimensional schema generation"--

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.