CPAR: Classification based on predictive association rules

X Yin, J Han - … the 2003 SIAM international conference on data mining, 2003 - SIAM
… 3.2 Predictive Rule Mining. In this section we propose Predictive Rule Mining (PRM), an
algorithm which modifies FOIL to achieve higher accuracy and efficiency. One reason that FOIL …

A review of associative classification mining

F Thabtah - The Knowledge Engineering Review, 2007 - cambridge.org
… ciative classification, such as incremental learning and mining low-… mining tasks, association
rule discovery and classification, to build a model (classifier) for the purpose of prediction

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 … grates association
rule mining and classification. Prediction of test data is a fundamental step in classification

[PDF][PDF] A COMPARATIVE STUDY OF ASSOCIATION RULE MINING TECHNIQUES AND PREDICTIVE MINING APPROACHES FOR ASSOCIATION CLASSIFICATION.

K Mittal, G Aggarwal, P Mahajan - International Journal of Advanced …, 2017 - academia.edu
… : Association Rule Mining (ARM) and classification are … Association Classification (AC). AC
leads to the formation of accurate classifier consisting of significant rules capable of predicting

S PRAR: A novel relational association rule mining classification model applied for academic performance prediction

G Czibula, A Mihai, LM Crivei - Procedia Computer Science, 2019 - Elsevier
classification model, S PRAR (Students Performance prediction using Relational Association
Rules) for predicting … using relational association rules (RARs). RARs extend the classical …

[PDF][PDF] Using associative classifiers for predictive analysis in health care data mining

S Soni, OP Vyas - International Journal of Computer Applications, 2010 - academia.edu
association rule mining and classification rule mining called … The purpose of temporal
predictive system is to provide the … the basic association rule of {bread}→{butter} mining from the …

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

S Wedyan - International Journal of Industrial and Manufacturing …, 2014 - researchgate.net
classification (AC) is a data mining approach that combines association rule and classification
to build classification … learning, ranking, pruning and prediction procedures. The rest of this …

Principal association mining: an efficient classification approach

F Chen, Y Wang, M Li, H Wu, J Tian - Knowledge-Based Systems, 2014 - Elsevier
… Therefore, some associative classification methods adopt multiple rules in prediction. For
example, the CMAR uses all the rules that match the new data object instead of using just one …

Coverage-based classification using association rule mining

J Mattiev, B Kavsek - Applied Sciences, 2020 - mdpi.com
Classification and prediction are two important tasks of data mining that can be used to …
Classification approaches aim to build classifiers (models) to predict the class label of a future …

Classification and association rule mining technique for predicting chronic kidney disease

A Alaiad, H Najadat, B Mohsen… - Journal of Information & …, 2020 - World Scientific
predicting and diagnosing CKD. In order to Żll this knowledge gap, classiŻcation and association
rule mining … develop a classiŻcation system for predicting CKD using weka and spss as …