This course introduces fundamental and practical tools, techniques, and algorithms for Knowledge Discovery and Data Mining (KD&DM). It provides a balanced approach between methods and practice. On the methodological side, it covers several techniques for transforming corporate data into business intelligence. These include: online Analytical Processing (OLAP) Systems, Artificial Neural Networks (ANN), Rule-Based Systems (RBS), Fuzzy Logic (FL), Machine Learning (ML), Classification Trees (C4.5 Algorithm), and Classification and Regression Trees (CART Algorithm). To illustrate the practical significance of the various techniques, half of the course is devoted to case studies. The case studies, drawn from real-world applications, demonstrate application of techniques to real-world problems.
Schaefer School of Engineering & Science
Department:
Computer Science
Program:
Computer Science
Mahmoud is Distinguished Member of the Technical Staff, Executive Director of the University Collaborstions Program, and Assistant Chief Scientist at AT&T Labs -- Research in Florham Park, NJ.
He has more than 35 years of teaching, research & publications, and management experience in academia and industry including Bell Laboratories, AT&T Labs, and University of California at Berkeley, University of Texas at Austin, Shahid Beheshti University (National University), Sharif University of Technology, University of Tehran, New York University, and Stevens Institute of Technology. His current areas of research are Machine Learning, Data Mining, Sensor Networks and RFID Systems including reliability, performance and Data Mining of sensor and RFID data, Cognitive Radio, Probability and Statistics. He reports to the AT&T Labs Chief Scientist and Vice President of Information & Software Systems Research.
He has a PhD and MS in Statistics from the University of California, Berkeley, and MS and BS in Mathematics from the University of Tehran. He was born and raised in the village of Firouzabad at Yazd, completed his fifth grade at “Dabestane Sharafoddin of Firouzabad”, the sixth grade with the top ranking at the “Dabestane Khanaghahi of Ashkezar”, and high school (Mathematics) at “IranShahr High - School of Yazd”.
He is the founder of the Department of Statistics and co-founder of the School of Informatics and Management Sciences of the National University of Iran (Now Shahid Beheshti). He has served as Chairman of the Department of Statistics and Dean of the School of Informatics & Management Sciences of the National (Shahid Beheshti) University.
Mahmoud is well recognized within the academia and industry. He is an expert in Data Mining, Machine Learning, Artificial Intelligence, Statistical Techniques, Risk Management, Quality and Reliability of IP-Based Services and Applications, Sensor Networks and RFID Systems.
He has published more than 80 journal and conference papers; authored/co-authored four books; and holds two patents.
