Associative classification approaches: review and comparison

N Abdelhamid, F Thabtah - Journal of Information & Knowledge …, 2014 - World Scientific
Associative classification (AC) is a promising data mining approach that integrates
classification and association rule discovery to build classification models (classifiers). In the …

[PDF][PDF] Review and comparison of associative classification data mining approaches

S Wedyan - International Journal of Industrial and Manufacturing …, 2014 - researchgate.net
Associative classification (AC) is a data mining approach that combines association rule and
classification to build classification models (classifiers). AC has attracted a significant …

Prediction phase in associative classification mining

F Thabtah, W Hadi, N Abdelhamid… - International Journal of …, 2011 - World Scientific
Associative classification (AC) is an important data mining approach which effectively
integrates association rule mining and classification. Prediction of test data is a fundamental …

A design failure pre-alarming system using score-and vote-based associative classification

HY Park, DJ Lim - Expert Systems with Applications, 2021 - Elsevier
Abstract Design failures often incur substantial cost overruns in the shipbuilding industry.
Precautions against possible design failures facilitate on-time delivery and improved …

A new Classification based on Association Algorithm

F Thabtah, Q Mahmood, L McCluskey… - Journal of Information …, 2010 - World Scientific
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 …

The science of rule-based classifiers

J Christopher - 2019 9th International Conference on Cloud …, 2019 - ieeexplore.ieee.org
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 …

A novel imbalanced data classification approach for suicidal ideation detection on social media

MA Ben Hassine, S Abdellatif, S Ben Yahia - Computing, 2022 - Springer
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 …

Mining positive and negative association rules

B Ramasubbareddy, A Govardhan… - … Computer Science & …, 2010 - ieeexplore.ieee.org
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 …

Particle swarm optimization trained class association rule mining: Application to phishing detection

K Tayal, V Ravi - Proceedings of the International Conference on …, 2016 - dl.acm.org
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 …

An efficient approach for mining positive and negative association rules from large transactional databases

P Kishor, S Porika - 2016 international conference on inventive …, 2016 - ieeexplore.ieee.org
In data mining association rule mining play vital role in finding associations between items in
a dataset by mining essential patterns in a large database. Standard association rules …