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One of the most important and challenging problems in data mining is the definition of prior knowledge either from the process or the domain. Prior knowledge is helpful for selecting suitable data and mining techniques, pruning the space of hypothesis, representing the output in a comprehensible way, and improving the overall method. Data Mining with Ontologies: Implementations, Findings and Frameworks provides a comprehensive set of methodologies and tools for the development of ontological foundations for data mining in diverse domains ranging from biomedicine to marketing. Forming a...

Although the majority of information that is published by the current web is aimed at human consumption, the browsers which contain this information are only able to interpret HTML mark-up to visualize this content. Semantic web intends to address the stability between human and machine. Advancing Information Management through Semantic Web Concepts and Ontologies provides an analysis and introduction on the concept of combining the areas of semantic web and web mining. Emphasizing semantics in technologies, reasoning, content searching and social media, this book aims to be an essential...