Associative classification (AC) is a promising data mining approach that integrates
classification and association rule discovery to build classification models (classifiers). In the …

Associative classification (AC) is a data mining approach that combines association rule and
classification to build classification models (classifiers). AC has attracted a significant …

Associative classification (AC) is an important data mining approach which effectively
integrates association rule mining and classification. Prediction of test data is a fundamental …

Associative classification is a branch in data mining that employs association rule discovery
methods in classification problems. In this paper, we introduce a novel data mining method …

Suicide has become a serious social health issue in modern society. Suicidal ideation is
people's thoughts about committing or planning suicide. Many factors, such as long-term …

The exponential rise in the amount of data has fueled various facets in data science and
data engineering. Classification is a supervised machine learning task that underlies several …

Association rule mining is one of the most popular data mining techniques to find
associations among items in a set by mining necessary patterns in a large database. Typical …

Abstract Design failures often incur substantial cost overruns in the shipbuilding industry.
Precautions against possible design failures facilitate on-time delivery and improved …

Association and classification are two important tasks in data mining. Literature abounds
with works that unify these two techniques. This paper presents a new algorithm called …

Associative classification (AC) is a combination of classification and association rule in data
mining that has attracted several scholars due to its models simplicity and its effectiveness in …