Zailani Abdullah

Orcid: 0000-0002-8424-8817

According to our database1, Zailani Abdullah authored at least 35 papers between 2004 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Dimensional Reduction Using Conditional Entropy for Incomplete Information Systems.
Proceedings of the Parallel Computing Technologies, 2019

2016
Mining Significant Association Rules from on Information and System Quality of Indonesian E-Government Dataset.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

A New Search Direction for Broyden's Family Method in Solving Unconstrained Optimization Problems.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

FCA-ARMM: A Model for Mining Association Rules from Formal Concept Analysis.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

ELP-M2: An Efficient Model for Mining Least Patterns from Data Repository.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2016

2015
A new limited tolerance relation for attribute selection in incomplete information systems.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Fault Tolerance Impact on Near Field Communication for Data Storage of Mobile Commerce Technology in Cloud Computing.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

Managing MyGRANTS Fragmented Database Using Binary Vote Assignment Grid Quorum with Association Rule (BVAGQ-AR) Replication Model.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

Concept Based Lattice Mining (CBLM) Using Formal Concept Analysis (FCA) for Text Mining.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

DGMS: Dataset Generator Based on Malay Stemmer Algorithm.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

2M-SELAR: A Model for Mining Sequential Least Association Rules.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

A Review on Sequential Pattern Mining Algorithms Based on Apriori and Patterns Growth.
Proceedings of the Second International Conference on Advanced Data and Information Engineering, 2015

2014
A Scalable Algorithm for Constructing Frequent Pattern Tree.
Int. J. Intell. Inf. Technol., 2014

Mining Critical Least Association Rule from Oral Cancer Dataset.
Proceedings of the Recent Advances on Soft Computing and Data Mining, 2014

Soft Computing Approach in Modeling Energy Consumption.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

A Sequential Data Preprocessing Tool for Data Mining.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Mining Indirect Least Association Rule from Students' Examination Datasets.
Proceedings of the Computational Science and Its Applications - ICCSA 2014 - 14th International Conference, Guimarães, Portugal, June 30, 2014

Cauchy criterion for the Henstock-Kurzweil integrability of fuzzy number-valued functions.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013
IPMA: Indirect Patterns Mining Algorithm.
Proceedings of the Advanced Methods for Computational Collective Intelligence, 2013

Mining Indirect Least Association Rule.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

Discovering Interesting Association Rules from Student Admission Dataset.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

Detecting Definite Least Association Rule in Medical Database.
Proceedings of the First International Conference on Advanced Data and Information Engineering, 2013

2012
Mining Interesting Association Rules of Students Suffering Study Anxieties Using SLP-Growth Algorithm.
Int. J. Knowl. Syst. Sci., 2012

CNAR-M: A Model for Mining Critical Negative Association Rules.
Proceedings of the Computational Intelligence and Intelligent Systems, 2012

WLAR-Viz: Weighted Least Association Rules Visualization.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

Scalable Technique to Discover Items Support from Trie Data Structure.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

DFP-Growth: An Efficient Algorithm for Mining Frequent Patterns in Dynamic Database.
Proceedings of the Information Computing and Applications - Third International Conference, 2012

EFP-M2: Efficient Model for Mining Frequent Patterns in Transactional Database.
Proceedings of the Computational Collective Intelligence. Technologies and Applications, 2012

2011
Visualizing the Construction of Incremental Disorder Trie Itemset Data Structure (DOSTrieIT) for Frequent Pattern Tree (FP-Tree).
Proceedings of the Visual Informatics: Sustaining Research and Innovations, 2011

Mining Interesting Association Rules of Student Suffering Mathematics Anxiety.
Proceedings of the Software Engineering and Computer Systems, 2011

An Alternative Measure for Mining Weighted Least Association Rule and Its Framework.
Proceedings of the Software Engineering and Computer Systems, 2011

2010
Mining Significant Least Association Rules Using Fast SLP-Growth Algorithm.
Proceedings of the Advances in Computer Science and Information Technology, 2010

Scalable Model for Mining Critical Least Association Rules.
Proceedings of the Information Computing and Applications - First International Conference, 2010

2009
Association rules mining with relative weighted support.
Proceedings of the iiWAS'2009, 2009

2004
Software Technologies Consideration for E-Commerce: A Case Study Of Modenas, Malaysia.
Proceedings of the iiWAS'2004, 2004


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