Mining Indirect Least Association Rule from Students' Examination Datasets
Association rule mining (ARM) is one of the most important and well researched area in data mining. Indirect association rule, a part of ARM, provides a different perspective in identifying the most useful infrequent patterns. Specifically, it refers to the property of high dependencies between two...
| Main Authors: | Zailani, Abdullah, Noraziah, Ahmad, Mustafa, Mat Deris, Rozaida, Ghazali, Herawan, Tutut |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
|
| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/6616/ http://umpir.ump.edu.my/id/eprint/6616/1/85840783.pdf |
Similar Items
Mining Indirect Least Association Rule from Students’ Examination Datasets
by: Zailani, Abdullah, et al.
Published: (2014)
by: Zailani, Abdullah, et al.
Published: (2014)
Mining Least Association Rules of Degree Level Programs Selected by Students
by: Zailani, Abdullah, et al.
Published: (2014)
by: Zailani, Abdullah, et al.
Published: (2014)
Mining Least Association Rules of Degree Level Programs Selected by Students
by: Zailani, Abdullah, et al.
Published: (2014)
by: Zailani, Abdullah, et al.
Published: (2014)
A Model for Visualizing Critical Least Association Rules
by: Noraziah, Ahmad, et al.
Published: (2014)
by: Noraziah, Ahmad, et al.
Published: (2014)
Tracing Significant Association Rules Using Critical Least Association Rules Model
by: Zailani, Abdullah, et al.
Published: (2013)
by: Zailani, Abdullah, et al.
Published: (2013)
WLAR-Viz: Weighted least association rules visualization
by: Noraziah, Ahmad, et al.
Published: (2012)
by: Noraziah, Ahmad, et al.
Published: (2012)
Mining Critical Least Association Rules from Students Suffering Study Anxiety Datasets
by: Tutut, Herawan, et al.
Published: (2015)
by: Tutut, Herawan, et al.
Published: (2015)
2M-SELAR: A Model for Mining Sequential Least Association Rules
by: Abdullah, Zailani, et al.
Published: (2019)
by: Abdullah, Zailani, et al.
Published: (2019)
Mining significant association rules from educational data using critical relative support approach
by: Zailani, Abdullah, et al.
Published: (2011)
by: Zailani, Abdullah, et al.
Published: (2011)
Extracting highly positive association rules from students' enrollment data
by: Zailani, Abdullah, et al.
Published: (2011)
by: Zailani, Abdullah, et al.
Published: (2011)
CNAR-M: A model for mining critical negative association rules
by: Herawan, Tutut, et al.
Published: (2012)
by: Herawan, Tutut, et al.
Published: (2012)
Detecting Critical Least Association Rules In Medical Databases
by: Herawan, Tutut
Published: (2010)
by: Herawan, Tutut
Published: (2010)
DFP-growth: An efficient algorithm for mining frequent patterns in dynamic database
by: Zailani, Abdullah, et al.
Published: (2012)
by: Zailani, Abdullah, et al.
Published: (2012)
EFP-M2: Efficient model for mining frequent patterns in transactional database
by: Herawan, Tutut, et al.
Published: (2012)
by: Herawan, Tutut, et al.
Published: (2012)
Fast Determination of Items Support Technique from Enhanced Tree Data Structure
by: Abdullah, Zailani, et al.
Published: (2014)
by: Abdullah, Zailani, et al.
Published: (2014)
A Scalable Algorithm for Constructing Frequent Pattern Tree
by: Noraziah, Ahmad, et al.
Published: (2014)
by: Noraziah, Ahmad, et al.
Published: (2014)
Mining least relational patterns from multi relational tables
by: Selamat, Siti Hairulnita, et al.
Published: (2005)
by: Selamat, Siti Hairulnita, et al.
Published: (2005)
Scalable technique to discover items support from trie data structure
by: Noraziah, Ahmad, et al.
Published: (2012)
by: Noraziah, Ahmad, et al.
Published: (2012)
Visualizing the construction of incremental Disorder Trie Itemset data structure (DOSTrieIT) for Frequent Pattern Tree (FP-Tree)
by: Zailani, Abdullah, et al.
Published: (2011)
by: Zailani, Abdullah, et al.
Published: (2011)
Discovering association rules for mining images datasets: a proposal
by: Hamzah, Azizi, et al.
Published: (2005)
by: Hamzah, Azizi, et al.
Published: (2005)
Mining association rule from large databases.
by: Defit, Sarjon, et al.
Published: (2001)
by: Defit, Sarjon, et al.
Published: (2001)
ELP-M2: An Efficient Model for Mining Least Patterns from Data Repository
by: Zailani, Abdullah, et al.
Published: (2017)
by: Zailani, Abdullah, et al.
Published: (2017)
Rough Clustering For Cancer Datasets
by: Herawan, Tutut
Published: (2010)
by: Herawan, Tutut
Published: (2010)
IncSPADE: An Incremental Sequential Pattern Mining Algorithm Based on SPADE Property
by: Omer, Adam, et al.
Published: (2016)
by: Omer, Adam, et al.
Published: (2016)
Cloud computing: Analysis of various services
by: Khan, Nawsher, et al.
Published: (2012)
by: Khan, Nawsher, et al.
Published: (2012)
On soft partition attribute selection
by: Rabiei, Mamat, et al.
Published: (2012)
by: Rabiei, Mamat, et al.
Published: (2012)
Reducing network congestion by separating nets of single-row networks into layers
by: Noraziah, Ahmad, et al.
Published: (2011)
by: Noraziah, Ahmad, et al.
Published: (2011)
Analysis of Traffic Accident Patterns Using Association Rule Mining
by: Yudy, Pranata, et al.
Published: (2024)
by: Yudy, Pranata, et al.
Published: (2024)
Sentiment Analysis in Arabic Social Media Using Association Rule Mining
by: Ahmed, AL-Saffar, et al.
Published: (2016)
by: Ahmed, AL-Saffar, et al.
Published: (2016)
The development of a parallel multi agent system for association rule mining
by: Ahmad, Abd. Manan, et al.
Published: (2003)
by: Ahmad, Abd. Manan, et al.
Published: (2003)
Cloud Computing: Analysis of Various Platforms
by: Khan, Nawsher, et al.
Published: (2012)
by: Khan, Nawsher, et al.
Published: (2012)
Generation of rough set (RS) significant reducts and rules for cardiac dataset classification
by: Sulaiman, Noor Suhana
Published: (2007)
by: Sulaiman, Noor Suhana
Published: (2007)
Intelligent mining multi dimensional association rules from large inconsistent databases.
by: Defit, Sarjon, et al.
Published: (2003)
by: Defit, Sarjon, et al.
Published: (2003)
Market Basket Analysis for E-Commerce using Association Rule Mining
by: Kayalvily, Tabianan*, et al.
Published: (2020)
by: Kayalvily, Tabianan*, et al.
Published: (2020)
Detecting JFIF header using FORHEADER
by: Kamaruddin Malik, Mohamad, et al.
Published: (2011)
by: Kamaruddin Malik, Mohamad, et al.
Published: (2011)
A Comparative Study on the Pre-Processing and Mining of Pima Indian Diabetes Dataset
by: Amatul, Zehra, et al.
Published: (2013)
by: Amatul, Zehra, et al.
Published: (2013)
Applying Variable Precision Rough Set for Clustering Diabetics Dataset
by: Herawan, Tutut, et al.
Published: (2014)
by: Herawan, Tutut, et al.
Published: (2014)
Combinatorial Rules Approach to Improve Priority Rules Scheduler in Grid Computing Environment
by: Zafril Rizal, M Azmi, et al.
Published: (2012)
by: Zafril Rizal, M Azmi, et al.
Published: (2012)
Binary Vote Assignment on Cloud Quorum Algorithm for Fragmented MyGRANTS Database Replication
by: Noraziah, Ahmad, et al.
Published: (2015)
by: Noraziah, Ahmad, et al.
Published: (2015)
Web usage mining for UUM learning care using association rules
by: Ramli, Azizul Azhar
Published: (2004)
by: Ramli, Azizul Azhar
Published: (2004)
Similar Items
-
Mining Indirect Least Association Rule from Students’ Examination Datasets
by: Zailani, Abdullah, et al.
Published: (2014) -
Mining Least Association Rules of Degree Level Programs Selected by Students
by: Zailani, Abdullah, et al.
Published: (2014) -
Mining Least Association Rules of Degree Level Programs Selected by Students
by: Zailani, Abdullah, et al.
Published: (2014) -
A Model for Visualizing Critical Least Association Rules
by: Noraziah, Ahmad, et al.
Published: (2014) -
Tracing Significant Association Rules Using Critical Least Association Rules Model
by: Zailani, Abdullah, et al.
Published: (2013)