Bibliothèque de L'IMIST/CNRST

Knowledge Discovery and Data Mining; Automatic Discovery of Class Hierarchies via Output Space Decomposition; Graph-based Mining of Complex Data; Predictive Graph Mining with Kernel Methods; TreeMiner : An Efficient Algorithm for Mining Embedded Ordered Frequent Trees; Sequence Data Mining; Link-based Classification; Knowledge Discovery from Evolutionary Trees; Ontology-Assisted Mining of RDF Documents; Image Retrieval using Visual Features and Relevance Feedback; Significant Feature Selection Using Computational Intelligent Techniques for Intrusion Detection

Knowledge discovery takes the raw results from data mining (the process of extracting trends or patterns from data) and transforms them into useful and understandable information. This book covers introductory material on the knowledge discovery process, advanced issues, and tools and techniques.