Autistic spectrum disorder (ASD) refers to a neurodevelopmental condition associated with
verbal and nonverbal communication, social interactions, and behavioural complications …

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

Commuting when there is a significant volume of traffic congestion has been acknowledged
as one of the key factors causing stress. Significant levels of stress whilst driving are seen to …

Associative classification (AC) is a new, effective supervised learning approach that aims to
predict unseen instances. AC effectively integrates association rule mining and …

Associative classification (AC) integrates the task of mining association rules with the
classification task to increase the efficiency of the classification process. AC algorithms …

Phishing is one of the serious web threats that involves mimicking authenticated websites to
deceive users in order to obtain their financial information. Phishing has caused financial …

Driving daily through traffic congestion has been recognised as a major cause of stress.
High levels of stress while driving negatively impact the driver's decisions which could …

Associative classification is rule-based involving candidate rules as criteria of classification
that provide both highly accurate and easily interpretable results to decision makers. The …

Generating multi-label rules in associative classification (AC) from single label data sets is
considered a challenging task making the number of existing algorithms for this task rare …

Associative classification (AC) is an integration between association rules and classification
tasks that aim to predict unseen samples. Several studies indicate that the AC algorithms …