Machine Learning and Data Mining in Pattern Recognition
About this book
This book constitutes the refereed proceedings of the 9th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2013, held in New York, USA in July 2013. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The papers cover the topics ranging from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.
Reader Profile
· 677 pages · ≈ 12 h 32 m · Moderate
How long does it take to read Machine Learning and Data Mining in Pattern Recognition?
About ≈ 12 h 32 m — 677 pages, assuming roughly 250 words per page at 225 words per minute.
How many pages is Machine Learning and Data Mining in Pattern Recognition?
677 pages in its most-read edition.
Is Machine Learning and Data Mining in Pattern Recognition in the public domain?
No — it is still under copyright.
Who wrote Machine Learning and Data Mining in Pattern Recognition?
Petra Perner.