May 10, 2007 · In this paper, we propose an integrating approach for decision trees within a classical database system. In other words, we try to discover ...
The obtained decision tree is defined by successive, related relational views. Each view corresponds to a given population in the underlying decision tree. We ...
In this paper, we propose an integrating approach for decision trees within a classical database system. In other words, we try to discover knowledge from ...
[PDF] Decision Tree Modeling with Relational Views - Semantic Scholar
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This paper tries to discover knowledge from relational databases, in the form of production rules, via a procedure embedding SQL queries, via an integrating ...
May 10, 2007 · Abstract. Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data.
Abstract. Data mining is a useful decision support technique that can be used to discover production rules in warehouses or corporate data.
Feb 21, 2023 · In this blog, we will explore the concept of decision trees, the various algorithms used to construct them, and how they can be used to solve real-world ...
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Jan 4, 2024 · Decision tree analysis involves visually outlining the potential outcomes, costs, and consequences of a complex decision.
Dec 6, 2017 · Each sub-node in the decision tree represents a sub- population of its parent node, we build for each node a relational view that is based on ...
May 17, 2024 · A decision tree is a flowchart-like structure used to make decisions or predictions. It consists of nodes representing decisions or tests on attributes.