One of the most important data mining problems is mining association rules. In this paper we
consider discovering association rules from large transaction databases. The problem of …

We propose a method of extracting cause information from Japanese newspaper articles
concerning business performance. Cause information is useful for investors in selecting …

The problems of developing models and algorithms for multilevel association mining pose
for new challenges for mathematics and computer science. These problems become more …

A key process in association rules mining, which has attracted a lot of interest during the last
decade, is the discovery of frequent sets of items in a database of transactions. A number of …

An anomaly detection system (ADS) can be seen as a system that monitors patterns of
normal data and identifies deviations from the normal patterns as potentially harmful …

This thesis describes research work within the theme of trend mining as applied to social
network data. Trend mining is a type of temporal data mining that provides observation into …

This chapter presents the core of the DWFIST approach, which is concerned with supporting
the analysis and exploration of frequent itemsets and derived patterns, eg, association rules …

A key process in association rules mining, which has attracted a lot of interest during the last
decade, is the discovery of frequent sets of items in a database of transactions. A number of …

The accurate identification of the right customer to target with the right product at the right
time, through the right channel, to satisfy the customer's evolving needs, is a key …

Avanços em mecanismos de coleta de dados, o uso de código de barras na maior parte dos
produtos comerciais, e informação sobre muitas transações governamentais e de negócio …