This paper surveys existing ontology map** techniques towards data interoperability.
Existing matcher algorithms and strategies are discussed generally and the research gaps …

Mining ubiquitous sensing data is important but also challenging, due to many factors, such
as heterogeneous large-scale data that is often at various levels of abstraction. This also …

Data mining is used to discover hidden patterns or structures in large databases.
Association rule induction extracts frequently occurring patterns in the form of association …

Background We develop medical-specialty specific ontologies that contain the settled
science and common term usage. We leverage current practices in information and …

Purpose–The purpose of this paper is to propose a solution to the problem of a lack of
machine processable semantics in business process management. Design/methodology …

Cancer is the leading cause of death in economically developed countries and the second
leading cause of death in develo** countries. Malignant brain neoplasms are among the …

This paper addresses some fundamental and practical issues that should be considered
when pursuing evaluation studies in Information Visualization. The main focus is on …

This book is mainly about an innovative and fundamental method called “intelligent
knowledge” to bridge the gap between data mining and knowledge management, two …

Medical association rules induction is used to discover useful correlations between pertinent
concepts from large medical databases. Nevertheless, ARs algorithms produce huge …

The early-phase design of complex systems is a challenging task, as a decision maker has
to take into account the intricate relationships among different design variables. A popular …