Many techniques have emerged to secure these health records from the unauthorized usage; one among those is Attribute based encryption. And analysis is done through Classification rule in mining; it is applied on the data to accurately predict the target records for each case in the data. In ...
Data Mining - Systems Data Mining - Query Language Classification & Prediction Data Mining - Decision Tree Induction Data Mining - Bayesian Classification Rules Based Classification Data Mining - Classification Methods Data Mining - Cluster Analysis Data Mining - Mining Text Data Data Mining - Mining ...
system offers an e-learning application integrated with an online quiz system which would predict the understanding level of students and automatically recommend favourable learning content by analysing the performance of students in online quizzes using rule based classification technique in data mining....
Effectiveness evaluation of rule based classifiers for the classification of iris data set. Bonfring International Journal of Man Machine Interface, 1(5): 05-09.C Lakshmi Devasena, T Sumathi, VV Gomathi, and M Hemalatha. Effectiveness evalu- ation of rule based classifiers for the ...
Gugnani, S., Khanolkar, D., Bihany, T., Khadilkar, N.: Rule based classification on a multi node scalable hadoop cluster. In: Fortino, G., Fatta, G.D., Li, W., Ochoa, S., Cuzzocrea, A., Pathan, M. (eds.) Internet and Distributed Computing Systems, pp. 174-183. No. ...
pattern classification/ decision rule-based methodfeature selectionpredictive data miningclassification problemtarget functionfeature relevancedomain specific definitionheuristic search/ C6130 Data handling techniques C6170K Knowledge engineering techniquesAlgorithms for feature selection in predictive data mining for ...
A classification-based association (CBA) algorithm was adopted to explore the hidden rules from two perspectives of speeding: speeding duration and speeding pattern. Results indicate that the combinations of longer trips (more than 60 min), driving on the roadways with a relatively higher ...
Classification Association Rule Mining (CARM) is a recent Classification Rule Mining (CRM) approach that builds an Association Rule Mining (ARM) based classifier using CARs. Regardless of which particular methodology is used to build it, a classifier is usually presented as an ordered CAR list, ...
that occurs frequently in a data set. • Motivation:Finding inherent regularities (associations) in data. • Forms the foundation for many essential data mining tasks: –Association,correlation,and causality analysis –Classification:associative classification –Cluster analysis:frequent pattern-based ...
In general, the optimality of feature subset can substantially improve the interpretability of rule-based classifiers since the optimal minimal number of features minimizes the number of classification rules generated from data. The FS techniques can be broadly classified into filter-based and wrapper-...