A Model for Visualizing Critical Least Association Rules

QR Code

A Model for Visualizing Critical Least Association Rules

Mining least association rules has received a great attention from the past decades. However, no current research has been specifically performed for visualizing these types of rules. In this paper, a model for visualizing critical least association rules is presented. The proposed model contains fi...

Full description

Bibliographic Details
Main Authors:	Noraziah, Ahmad, Zailani, Abdullah, Herawan, Tutut, Mustafa, Mat Deris
Format:	Article
Language:	English
Published:	SERSC 2014
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/6613/ http://umpir.ump.edu.my/id/eprint/6613/2/15.pdf

Similar Items

Tracing Significant Association Rules Using Critical Least Association Rules Model
by: Zailani, Abdullah, et al.
Published: (2013)

WLAR-Viz: Weighted least association rules visualization
by: Noraziah, Ahmad, et al.
Published: (2012)

Mining Least Association Rules of Degree Level Programs Selected by Students
by: Zailani, Abdullah, et al.
Published: (2014)

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 Indirect Least Association Rule from Students’ Examination Datasets
by: Zailani, Abdullah, et al.
Published: (2014)

2M-SELAR: A Model for Mining Sequential Least Association Rules
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)

Mining Critical Least Association Rules from Students Suffering Study Anxiety Datasets
by: Tutut, Herawan, et al.
Published: (2015)

CNAR-M: A model for mining critical negative association rules
by: Herawan, Tutut, et al.
Published: (2012)

Extracting highly positive association rules from students' enrollment data
by: Zailani, Abdullah, et al.
Published: (2011)

Detecting Critical Least Association Rules In Medical Databases
by: Herawan, Tutut
Published: (2010)

Fast Determination of Items Support Technique from Enhanced Tree Data Structure
by: Abdullah, Zailani, et al.
Published: (2014)

A Scalable Algorithm for Constructing Frequent Pattern Tree
by: Noraziah, Ahmad, et al.
Published: (2014)

Visualizing the construction of incremental Disorder Trie Itemset data structure (DOSTrieIT) for Frequent Pattern Tree (FP-Tree)
by: Zailani, Abdullah, et al.
Published: (2011)

DFP-growth: An efficient algorithm for mining frequent patterns in dynamic database
by: Zailani, Abdullah, et al.
Published: (2012)

Scalable technique to discover items support from trie data structure
by: Noraziah, Ahmad, et al.
Published: (2012)

EFP-M2: Efficient model for mining frequent patterns in transactional database
by: Herawan, Tutut, et al.
Published: (2012)

Cloud Computing: Analysis of Various Platforms
by: Khan, Nawsher, et al.
Published: (2012)

Binary Vote Assignment on Cloud Quorum Algorithm for Fragmented MyGRANTS Database Replication
by: Noraziah, Ahmad, et al.
Published: (2015)

Mining least relational patterns from multi relational tables
by: Selamat, Siti Hairulnita, et al.
Published: (2005)

Cloud computing: Analysis of various services
by: Khan, Nawsher, et al.
Published: (2012)

On soft partition attribute selection
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)

Direct least squares fitting of ellipses segmentation and prioritized rules classification for curve-shaped chart patterns
by: Lei, I. L., et al.
Published: (2021)

Managing Fragmented Database Using BVAGQ-AR Replication Model
by: Ainul Azila, Che Fauzi, et al.
Published: (2017)

Cloud Computing: Architecture for Efficient Provision of Services
by: Khan, Nawsher, et al.
Published: (2012)

Cloud Computing: Locally Sub-Clouds instead of Globally One Cloud
by: Khan, Nawsher, et al.
Published: (2012)

ELP-M2: An Efficient Model for Mining Least Patterns from Data Repository
by: Zailani, Abdullah, et al.
Published: (2017)

Mining association rule from large databases.
by: Defit, Sarjon, et al.
Published: (2001)

Combinatorial Rules Approach to Improve Priority Rules Scheduler in Grid Computing Environment
by: Zafril Rizal, M Azmi, et al.
Published: (2012)

Predicting next page access by Markov models and association rules on web log data
by: Chimphlee, S., et al.
Published: (2006)

Soft Set-Based Decision Making For Patients Suspected Influenza-Like Illness
by: Herawan, Tutut
Published: (2010)

Detecting JFIF header using FORHEADER
by: Kamaruddin Malik, Mohamad, et al.
Published: (2011)

Fault Tolerance Impact on Near Field Communication for Data Storage of Mobile Commerce Technology in Cloud Computing
by: Noraziah, Ahmad, et al.
Published: (2015)

The development of a parallel multi agent system for association rule mining
by: Ahmad, Abd. Manan, et al.
Published: (2003)

Improved Parameterless K-Means: Auto-Generation Centroids and Distance Data Point Clusters
by: Wan Maseri, Wan Mohd, et al.
Published: (2011)

Modelling Reactive and Proactive Behaviour in Simulation: A Case Study in a University Organisation
by: Mazlina, Abdul Majid, et al.
Published: (2013)

Analysis of Traffic Accident Patterns Using Association Rule Mining
by: Yudy, Pranata, et al.
Published: (2024)

Product Design Generation and Decision Making Through Strategic Integration of Evolutionary Grammars and Kano Model
by: Noraziah, Ahmad, et al.
Published: (2012)