In inconsistent decision tables, there are groups of rows with equal values of conditional
attributes and different decisions (values of the decision attribute). We study three …

In this paper, we present three approaches for construction of decision rules for decision
tables with many-valued decisions. We construct decision rules directly for rows of decision …

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 …

In this paper, we consider multi-label decision tables that have a set of decisions attached to
each row. Our goal is to find one decision from the set of decisions for each row by using …

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 …

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 …

决策树技术在数据挖掘的分类领域应用极其广泛, 可以从普通决策表(每行记录包含一个决策值)
中挖掘有价值的信息, 但是要从多值决策表(每行记录包含多个决策值) 中挖掘潜在的信息则比较 …

In this chapter text mining approach for emergency calls management systems is
investigated. A data mining approach of emergency calls classification based on the …

In the paper, we study a greedy algorithm for construction of decision trees. This algorithm is
applicable to decision tables with many-valued decisions where each row is labeled with a …