ForEx++: A New Framework for Knowledge Discovery from Decision Forests

A New Framework based on Cognitive Psychology for Knowledge Discovery

The mainstream of knowledge discovery encompasses mining algorithms with highperformance and high-scalability in kinds of databases and application backgrounds. Some research were carried out in another shortcut which focuses on research to high-level theory framework in order to reveal the potential essence, principles and complexity of knowledge discovery and then reacts to the mainstream dev...

dams and development: a new framework for decision

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A Framework for Autonomous Knowledge Discovery from Databases

Towards a Framework for Knowledge Discovery

We discuss how data mining, patternbases and databases can be integrated into inductive databases, which make data mining an inductive query process. We propose a software architecture for such inductive databases, and extend this architecture to support the clustering of inductive databases and to make them suitable for data mining on the grid.

Knowledge discovery from data as a framework to decision support in medical domains

Introduction: Knowledge discovery from data (KDD) is a multidisciplinary discipline which appeared in 1996 for “non trivial identifying of valid, novel, potentially useful, ultimately understandable patterns in data”. Pre-treatment of data and post-processing is as important as the data exploitation (Data Mining) itself. Different analysis techniques can be properly combined to produce explicit...