This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of diverse themes: Society, Science, Medical, Engineering, and business. The book discusses several perspectives of process mining techniques in the broader context of data science and big data approaches.
This book presents the theory and practice of Process Mining Techniques with a detailed focus on Pattern Recognition of diverse themes: Society, Science, Medical, Engineering, and business. The book discusses several perspectives of process mining techniques in the broader context of data science and big data approaches.
This LNCS volume contains the papers presented at the 3rd International C- ferenceonAdvances in PatternRecognition(ICAPR2005)organizedin August, 2005 in the beautiful city of Bath, UK. The conference...
This book constitutes the refereed proceedings of the 12th International Conference on Machine Learning and Data Mining in Pattern Recognition, MLDM 2016, held in New York, NY, USA in July 2016. The...
A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an...
As future generation information technology (FGIT) becomes specialized and fr- mented, it is easy to lose sight that many topics in FGIT have common threads and, because of this, advances in one...
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