Bio-inspired algorithm for classification association rules
OS Soliman, A Adly - 2012 8th International Conference on …, 2012 - ieeexplore.ieee.org
Associative classification (AC) has shown a great dominance over many classification
techniques. Associative classification uses association rule mining for rules discovery …
techniques. Associative classification uses association rule mining for rules discovery …
Experimental and statistical analysis on the performance of firefly based predictive association rule classifier for health care data diagnosis
M Nandhini, M Rajalakshmi… - Journal of Control …, 2017 - ceai.srait.ro
Health care data diagnosis deals with a prediction of the course of a disease by analyzing
the information in health care systems. Analyzing healthcare datasets is one of the major …
the information in health care systems. Analyzing healthcare datasets is one of the major …
[PDF][PDF] APPLICATION OF DATA MINING ALGORITHM FOR THE PREDICTION OF TUBERCULOSIS
T Baskar, M Kannan - romanpub.com
Data mining and knowledge discovery in data is a systematic approach employed to reveal
hidden patterns, associations and trends within the data. In the recent decade, data mining …
hidden patterns, associations and trends within the data. In the recent decade, data mining …
Quantum-negative selection algorithm for associative classification
OS Soliman, A Adly - 2012 IEEE International Conference on …, 2012 - ieeexplore.ieee.org
Most of classification and rule learning algorithms in machine learning use heuristic search
to find part of rules for classification. Classification Associative Classification (AC) has shown …
to find part of rules for classification. Classification Associative Classification (AC) has shown …