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Online book: Introduction to data mining


 
  
this online book was created by the Data Mining group at the U. Toronto, and it covers all steps of data mining process, from problem definition, data preparation, exploration, to modeling, evaluation, and deployment.


This online book was created by The Data Mining group was established in November 2000 by Dr. Saed Sayad in a collaboration with Professor Stephen T. Balke in the Department of Chemical Engineering and Applied Chemistry at the University of Toronto.

Data Mining is about explaining the past and predicting the future by means of data analysis. Data mining is a multi-disciplinary field which combines statistics, machine learning, artificial intelligence and database technology. The value of data mining applications is often estimated to be very high. Many businesses have stored large amounts of data over years of operation, and data mining is able to extract very valuable knowledge from this data. The businesses are then able to leverage the extracted knowledge into more clients, more sales, or greater profits. This is also true in the engineering and medical fields.

See the full data mining map and online book at

chem-eng.utoronto.ca/~datamining/dmc/data_mining_map.htm

Data Mining: Explaining the past


KDnuggets Home » News » 2010 » Nov » Publications » Online book: Introduction to data mining  ( < Prev | 10:n28 | Next > )