Over the past two decades, pattern mining techniques have become an integral part of many
bioinformatics solutions. Frequent itemset mining is a popular group of pattern mining …

Databases obtained from different search engines, market data, patients' symptoms and
behaviours, etc., are some common examples of set-valued data, in which a set of values …

Rough set theory is advocated as a framework for conceptualizing and analyzing various
types of data, which is a powerful tool for discovering patterns in a given data set through a …

Set-valued information systems are important type of data tables and generalized models of
single-valued information systems. Approximations are the focal point of approaches to …

In a world where the number of choices can be overwhelming, recommender systems help
users find and evaluate items of interest. They connect users with items to …

Association Rule Mining is one of the important areas of research, receiving increasing
attention. It is an essential part of Knowledge Discovery in Databases (KDD). The scope of …

We introduce a novel data mining technique for the analysis of gene expression. Gene
expression is the effective production of the protein that a gene encodes. We focus on the …

In this thesis, we focused on the construction of classification models based on association
rules. Although association rules have been predominantly used for data exploration and …

We introduce a specialized association rule mining technique that can extract patterns from
complex sleep data comprising polysomnographic recordings, clinical summaries, and …

In many machine learning and data mining applications, it may happen that the data
acquired for classification analysis are set-valued, ie, The feature values of an object set are …