KDnuggets Home » News » 2011 » Aug » SIGKDD 2011 Innovation Award Winner  (  11:n20 | Next > )

SIGKDD 2011 Innovation Award Winner


 
  
Dr. Ross Quinlan for his seminal contributions to rule induction and decision tree algorithms and for participating in laying the foundation of data mining, particularly with the invention of ID3 and C4.5


ACM SIGKDD ACM SIGKDD is pleased to announce that Dr. Ross Quinlan is the winner of the 2011 Innovation Award. He is recognized for his seminal contributions to rule induction and decision tree algorithms and for participating in laying the foundation of data mining, particularly with the invention of ID3 and C4.5, algorithms pivotal in myriad applications.

ACM SIGKDD Innovation Award is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD). It is conferred on one individual or one group of collaborators whose outstanding technical innovations in the KDD field have had a lasting impact in advancing the theory and practice of the field.

Ross Quinlan Dr. Ross Quinlan is best known for the development of programs for machine learning and data mining. The first of these, a decision- tree learner called ID3, arose from a collaboration with Donald Michie in 1978 while both were visiting Stanford University. ID3 evolved into C4.5, and Quinlan's book on the latter has received 16,728 citations by August 2011 according to Google Scholar. C4.5 has been used very widely in industrial data mining practice and as a benchmark algorithm in machine learning and data mining research. It was voted one of the top 10 algorithms in Data Mining by the IEEE International Conference on Data Mining in ICDM 2006. Quinlan also developed M5, a program that constructs model trees for regression tasks, and the FOIL and FFOIL systems for learning first-order theories. C4.5 and M5 served as the starting points for the successful commercial data mining systems See 5/C5.0 and Cubist. The fundamental work from Quinlan, especially the work in decision tree learning, has done much to shape the field of data mining and the applications of his software have had substantial impact far beyond his immediate field of research.

Quinlan received a BSc in Physics from the University of Sydney in 1965 and the first PhD in Computer Science from the University of Washington in 1968. He has held appointments at the University of Sydney, Rand Corporation, New South Wales Institute of Technology (now the University of Technology, Sydney), and visiting appointments at Carnegie-Mellon University, MIT, Stanford University, and the University of New South Wales. In 1997 he left academic life to set up Rulequest Research, a company that builds data mining tools that are used in over 50 countries.

The previous SIGKDD Innovation Award winners were Rakesh Agrawal, Jerome Friedman, Heikki Mannila, Jiawei Han, Leo Breiman, Ramakrishnan Srikant, Usama M. Fayyad, Raghu Ramakrishnan, Padhraic Smyth, and Christos Faloutsos .

The award includes a plaque and a check for $2,500 and will be presented at the Opening Plenary Session of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, on August 21st, 2011 in San Diego, CA.

Dr. Quinlan will present the Innovation Award Lecture immediately after the awards presentations.

2011 ACM SIGKDD Awards Committee

  • Osmar R. Za├»ane, Chair
  • Ramasamy Uthurusamy, Past Chair
  • Christos Faloutsos (Carnegie Mellon University)
  • Peter Flach (University of Bristol)
  • Robert Grossman (University of Illinois at Chicago)
  • Ying Li (Microsoft)
  • Bing Liu (University of Illinois at Chicago)
  • Sunita Sarawagi (Indian Institute of Technology, Bombay)
  • Padhraic Smyth (University of California at Irvine)
  • Qiang Yang (Hong Kong UST)
For more information, visit www.kdd.org/awards_innovation.php#2011i

KDnuggets Home » News » 2011 » Aug » SIGKDD 2011 Innovation Award Winner  (  11:n20 | Next > )