This paper presents an association discovery framework for proteins based on semantic annotations from biomedical literatures. An automatic ontology-based annotation method is used to create a semantic protein annotation knowledge base. A semantic reasoning service enables realisation reasoning on original annotations to infer more accurate associations. A case study on protein-disease associat...

A central part of many algorithms for mining association rules in large data sets is a procedure that finds so called frequent itemsets. This paper proposes a new approach to finding frequent itemsets. The approach reduces a number of passes through an input data set and generalises a number of strategies proposed so far. The idea is to analyse a variable number n of itemset lattice levels in p...

Association rules are a class of important regularities in databases. They are found to be very useful in practical applications. However, the number of association rules discovered in a database can be huge, thus making manual inspection and analysis of the rules difficult. In this paper, we propose a new framework to allow the user to explore the discovered rules to identify those interesting...

In this paper we explore the applicability of an algorithm designed for finding association rules in large databases to the discovery of relevant associations from a large case base.

Existing mining association rules in relational tables only focus on discovering the relationship among large data items in a database. However, association rule for significant rare items that appear infrequently in a database but are highly related with other items is yet to be discovered. In this paper, we propose an algorithm called Extraction Least Pattern (ELP) algorithm that using a coup...

The paper focuses on requests in written forms, where we describe a novel approach to computational modelling of specific features of politeness in speech act of requesting. We examine the similarities and differences in the use of specific social and expressive factors in two languages (mother tongue and a foreign language). The requests collected from different social situations among student...

In this paper we introduce a generalization of association rules: change profiles. We analyze their properties, describe their relationship to other structures in pattern discovery and sketch their possible applications. We study how the frequent patterns can be clustered based on their change profiles and propose methods for approximating the frequencies of the patterns from the approximate ch...

Local pattern discovery, pattern set formation and global modeling may be viewed as three consecutive steps in a global modeling process. As each of these three steps have gained an increased attention in recent years, a great variety of techniques for each step have been proposed, but so far there has been no systematic comparison of the possible choices. In this paper, we survey and evaluate ...

The aim of the present work is to evaluate differences according to age in digital competence, usages, and attitude towards ICT in a sample of 1231 online students of a distance university. To fulfill this goal, hypothesis testing, correlation analysis, and data mining techniques were performed on the basis of a 72-item survey. Results showed no strong differences between extreme groups of age....