In this paper, we review possible strategies for handling missing values in separate-and-
conquer rule learning algorithms, and compare them experimentally on a large number of …

Action rules describe possible transitions of objects from one state to another with respect to
a distinguished attribute. Previous research on action rule discovery usually required the …

The notion of rough sets was originally proposed by Pawlak. In Pawlak's rough set theory,
the equivalence relation or partition plays an important role. However, the equivalence …

We are surrounded by data, numerical, categorical and otherwise, which must to be
analyzed and processed to convert it into information that instructs, answers or aids …

Action rules can be seen as logical terms describing knowledge about possible actions
associated with objects which is hidden in a decision system. Classical strategy for …

This research proposes a novel strategy for constructing a knowledge-based recommender
system (RS) based on both structured data and unstructured text data. We present its …

Untitled Page 1 Page 2 92 sHE~L~ A. Gm~AC~ whether there are other subAFLs and which
properties they do or do not share witty. the whole family. Here we define and study a doubly …

In this paper, we present an algorithm that discovers action rules from a decision table.
Action rules describe possible transitions of objects from one state to another with respect to …

We consider a consensus reaching process in a group of individuals meant as an attempt to
make preferences of the individuals more and more similar, that is, getting closer and closer …

Action rules describe possible transitions of objects from one state to another with respect to
a distinguished attribute. Previous research on action rule discovery usually requires the …