KNOWLEDGE ENGINEERING (KE) and data mining are areas of common interest to researchers in AI, Pattern Recognition, Statistics, Databases, Knowledge Acquisition, Data Visualization, high performance computing, and expert systems. This book is divided in to seven major parts. Part one has focused on document and multi-document reconstruction and summarization, Medical Imaging, Opinion Mining, PCA & LDA, Cross co-relation and phase based matching. Whereas the Part two covers application areas of Data Mining like Data Cleaning, Weather forecasting and Web Mining. Part three covers HCI, ECG,...
KNOWLEDGE ENGINEERING (KE) and data mining are areas of common interest to researchers in AI, Pattern Recognition, Statistics, Databases, Knowledge Ac...