We study problems of optimization of decision and inhibitory trees for decision tables with
many-valued decisions. As cost functions, we consider depth, average depth, number of …

Air temperature components provide information on different aspects of agricultural science,
eg, agricultural meteorology, soil science, and agronomy. However, forecasting the future …

Combination issues lie at the core of computer science and modern discrete mathematics.
Artificial intelligence lays the foundation for induction and deduction techniques. Induction in …

The paper is devoted to the analysis of greedy algorithms for the minimization of average
depth of decision trees for decision tables such that each row is labeled with a set of …

Decision tree is a widely used technique to discover patterns from consistent data set. But if
the data set is inconsistent, where there are groups of examples (objects) with equal values …

A greedy algorithm has been presented in this paper to construct decision trees for three
different approaches (many-valued decision, most common decision, and generalized …

Decision trees are one of the most commonly used tools in decision analysis, knowledge
representation, machine learning, etc., for its simplicity and interpretability. We consider an …

We used decision tree as a model to discover the knowledge from multi-label decision
tables where each row has a set of decisions attached to it and our goal is to find out one …

决策树技术在数据挖掘的分类领域中被广泛采用. 采用决策树从一致决策表(即条件属性值相同
的样本其决策值相同) 中挖掘有价值信息的相关研究较为成熟, 而对于非一致决策表(即条件属性 …

Decision trees have been used widely to discover patterns from consistent data set. But if the
data set is inconsistent, where there are groups of examples with equal values of conditional …