Evaluation and optimization of frequent association rule based classification
Deriving useful and interesting rules from a data mining system is an essential and important task. Problems such as the discovery of random and coincidental patterns or patterns with no significant values, and the generation of a large volume of rules from a database commonly occur. Works on sust...
| Main Authors: | Izwan Nizal Mohd Shaharanee, Jastini Jamil |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Penerbit Universiti Kebangsaan Malaysia
2014
|
| Online Access: | http://journalarticle.ukm.my/6804/ http://journalarticle.ukm.my/6804/1/4801-11319-1-PB.pdf |
Similar Items
Evaluation and optimization of frequent, closed and maximal association rule based classification.
by: Shaharanee, I., et al.
Published: (2014)
by: Shaharanee, I., et al.
Published: (2014)
Features selection and rule removal for frequent association rule based classification
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2013)
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2013)
Irrelevant feature and rule removal for structural associative classification
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2015)
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2015)
A framework for interestingness measures for association rules with discrete and continuous attributes based on statistical validity
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2015)
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2015)
Quality and interestingness of association rules derived from data mining of relational and semi-structured data
by: Mohd Shaharanee, Izwan Nizal
Published: (2012)
by: Mohd Shaharanee, Izwan Nizal
Published: (2012)
Frequent Lexicographic Algorithm for Mining Association Rules
by: Mustapha, Norwati
Published: (2005)
by: Mustapha, Norwati
Published: (2005)
Compact structure representation in discovering frequent patterns for association rules
by: Mustapha, Norwati, et al.
Published: (2002)
by: Mustapha, Norwati, et al.
Published: (2002)
Interestingness measures for association rules based on statistical validity
by: Mohd Shaharanee, Izwan, et al.
Published: (2011)
by: Mohd Shaharanee, Izwan, et al.
Published: (2011)
A Statistical Interestingness Measures for XML based Association Rules
by: Mohd Shaharanee, Izwan, et al.
Published: (2010)
by: Mohd Shaharanee, Izwan, et al.
Published: (2010)
An innovative data mining and dashboard system for monitoring of Malaysian dengue trends
by: Jamil, Jastini, et al.
Published: (2016)
by: Jamil, Jastini, et al.
Published: (2016)
A conceptual framework for predicting the effects of encroachment on magnitude of flood in Foma-river area, Kwara State, Nigeria using data mining
by: Chindo, A.A., et al.
Published: (2019)
by: Chindo, A.A., et al.
Published: (2019)
Evaluation of machine learning classifiers in faulty die prediction to maximize cost scrapping avoidance and assembly test capacity savings in semiconductor integrated circuit (IC) manufacturing
by: Mohd Fazil, Azlan Faizal, et al.
Published: (2019)
by: Mohd Fazil, Azlan Faizal, et al.
Published: (2019)
Profiling Oman education data using data visualization technique
by: Alalawi, Sultan Juma Sultan, et al.
Published: (2016)
by: Alalawi, Sultan Juma Sultan, et al.
Published: (2016)
The application of Google Classroom as a tool for teaching and learning
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2016)
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2016)
Interestingness of association rules using symmetrical tau and logistic regression
by: Mohd Shaharanee, Izwan, et al.
Published: (2009)
by: Mohd Shaharanee, Izwan, et al.
Published: (2009)
Interestingness measures for association rules based on statistical validity
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2011)
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2011)
A statistical interestingness measures for XML based association rules
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2010)
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2010)
Clustering Student Performance Data Using k-Means Algorithms
by: Sultan Alalawi, Sultan Juma, et al.
Published: (2023)
by: Sultan Alalawi, Sultan Juma, et al.
Published: (2023)
Gender-specific stochastic frontier health efficiency model in Malaysia
by: Baten, Md Azizul, et al.
Published: (2016)
by: Baten, Md Azizul, et al.
Published: (2016)
Assessing stakeholder’s credit risk using data mining in construction project
by: Zakaria, NurHafizah, et al.
Published: (2015)
by: Zakaria, NurHafizah, et al.
Published: (2015)
Framework to reduce cost scrapping and cost of
assemble test capacity in semiconductor integrated
circuit manufacturing
by: Mohd Fazil, Azlan Faizal, et al.
Published: (2020)
by: Mohd Fazil, Azlan Faizal, et al.
Published: (2020)
Variations in the number of hidden nodes through multilayer perceptron networks to predict cycle time
by: Ahmad Afif, Ahmarofi, et al.
Published: (2020)
by: Ahmad Afif, Ahmarofi, et al.
Published: (2020)
Variations in the number of hidden nodes through multilayer perceptron networks to predict cycle time
by: Ahmarofi, Ahmad Afif, et al.
Published: (2020)
by: Ahmarofi, Ahmad Afif, et al.
Published: (2020)
Variation on the number of hidden nodes through multilayer perceptron networks to predict the cycle time
by: Ahmarofi, Ahmad Afif, et al.
Published: (2020)
by: Ahmarofi, Ahmad Afif, et al.
Published: (2020)
Rule-based analysis for detecting epistasis using associative classification mining
by: Uppu, Suneetha, et al.
Published: (2015)
by: Uppu, Suneetha, et al.
Published: (2015)
A hybrid database encryption algorithm based on reverse string and dynamic key
by: Abduljabbar, Waleed Khalid, et al.
Published: (2016)
by: Abduljabbar, Waleed Khalid, et al.
Published: (2016)
Using fuzzy association rule mining in cancer classification
by: Mahmoodian, Sayed Hamid, et al.
Published: (2011)
by: Mahmoodian, Sayed Hamid, et al.
Published: (2011)
Optimising rule-based classification in temporal data
by: Fattah, Polla, et al.
Published: (2016)
by: Fattah, Polla, et al.
Published: (2016)
Frequent nocturnal awakening in early life is associated with nonatopic asthma in children
by: Kozyrskyj, A., et al.
Published: (2009)
by: Kozyrskyj, A., et al.
Published: (2009)
Perisian pengurusan projek: Suatu cadangan perancangan penyusunan aktiviti dalam perspektif pengajaran dan pembelajaaran di Malaysia
by: Mohd Nawi, Mohd Nasrun, et al.
Published: (2008)
by: Mohd Nawi, Mohd Nasrun, et al.
Published: (2008)
Prime-based method for interactive mining of frequent patterns
by: Nadimi-Shahraki, Mohammad-Hossein
Published: (2010)
by: Nadimi-Shahraki, Mohammad-Hossein
Published: (2010)
Mining frequent sequences using itemset-based extension
by: Ma, Zhixin, et al.
Published: (2008)
by: Ma, Zhixin, et al.
Published: (2008)
Frequent patterns minning of stock data using hybrid clustering association algorithm
by: B., Baharudin, et al.
Published: (2009)
by: B., Baharudin, et al.
Published: (2009)
Dynamic rule refinement strategy of associative classifier for effective mammographic image classification
by: Abubacker, Nirase Fathima
Published: (2016)
by: Abubacker, Nirase Fathima
Published: (2016)
Evaluation of E-Learning Approaches Using AHPTOPSIS
Technique
by: Mohammed, Husam Jasim, et al.
Published: (2018)
by: Mohammed, Husam Jasim, et al.
Published: (2018)
Efficient prime-based method for interactive mining of frequent patterns.
by: Mohammad Hossein, Nadimi Shahraki, et al.
Published: (2011)
by: Mohammad Hossein, Nadimi Shahraki, et al.
Published: (2011)
Rule-Based Classification Approach for Railway Wagon Health Monitoring
by: Shafiullah, G., et al.
Published: (2010)
by: Shafiullah, G., et al.
Published: (2010)
Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, Dianhui, et al.
Published: (2003)
by: Wang, Dianhui, et al.
Published: (2003)
Extraction and Optimization of Fuzzy Protein Sequences Classification Rules Using GRBF Neural Networks
by: Wang, D., et al.
Published: (2003)
by: Wang, D., et al.
Published: (2003)
Ascertaining data mining rules using statistical approaches
by: Mohd Shaharanee, I., et al.
Published: (2009)
by: Mohd Shaharanee, I., et al.
Published: (2009)
Similar Items
-
Evaluation and optimization of frequent, closed and maximal association rule based classification.
by: Shaharanee, I., et al.
Published: (2014) -
Features selection and rule removal for frequent association rule based classification
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2013) -
Irrelevant feature and rule removal for structural associative classification
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2015) -
A framework for interestingness measures for association rules with discrete and continuous attributes based on statistical validity
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2015) -
Quality and interestingness of association rules derived from data mining of relational and semi-structured data
by: Mohd Shaharanee, Izwan Nizal
Published: (2012)