Mathematical Methods for Knowledge Discovery and Data Mining

• Author(s): Giovanni Felici, Carlo Vercellis,
• Publisher: Information Science Reference
• Pages: 369
• ISBN_10: 1599045281
  ISBN_13: 9781599045283
  
• Language: en
• Categories: Business & Economics / Business Mathematics , Computers / Database Administration & Management , Computers / Data Science / Data Analytics , Computers / Artificial Intelligence / Expert Systems , Mathematics / Discrete Mathematics , Technology & Engineering / General ,

Description:... The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance and insurance, manufacturing, marketing, performance measurement, and telecommunications