A. B. M. Shawkat Ali

According to our database1, A. B. M. Shawkat Ali authored at least 45 papers between 2002 and 2018.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2018
A component based unified architecture for utility service in cloud.
Future Generation Comp. Syst., 2018

2016
An Approach to Security for Unstructured Big Data.
The Review of Socionetwork Strategies, 2016

D2i2D: A Novel Secure Approach for Cloud Storage with Cost Minimization.
JSW, 2016

Brain Cancer Diagnosis-Association Rule Based Computational Intelligence Approach.
Proceedings of the 2016 IEEE International Conference on Computer and Information Technology, 2016

2014
Consumer Purchasing Behavior Extraction Using Statistical Learning Theory.
Proceedings of the 18th International Conference in Knowledge Based and Intelligent Information and Engineering Systems, 2014

2013
Energy-Efficient Wireless MAC Protocols for Railway Monitoring Applications.
IEEE Trans. Intelligent Transportation Systems, 2013

Domain Specific Custom Search for Quicker Information Retrieval.
IJIRR, 2013

Hybrid feature selection through feature clustering for microarray gene expression data.
Int. J. Hybrid Intell. Syst., 2013

Access Control Management for Cloud.
Proceedings of the 12th IEEE International Conference on Trust, 2013

2012
Classifying different denial-of-service attacks in cloud computing using rule-based learning.
Security and Communication Networks, 2012

A survey on gaps, threat remediation challenges and some thoughts for proactive attack detection in cloud computing.
Future Generation Comp. Syst., 2012

Computational intelligence for microarray data and biomedical image analysis for the early diagnosis of breast cancer.
Expert Syst. Appl., 2012

2011
Significant Cancer Prevention Factor Extraction: An Association Rule Discovery Approach.
J. Medical Systems, 2011

Advanced Matrix Algorithm (AMA): reducing number of scans for association rule generation.
IJBIDM, 2011

Monitoring Insiders Activities in Cloud Computing Using Rule Based Learning.
Proceedings of the IEEE 10th International Conference on Trust, 2011

Trust Issues that Create Threats for Cyber Attacks in Cloud Computing.
Proceedings of the 17th IEEE International Conference on Parallel and Distributed Systems, 2011

A novel hybrid approach of feature selection through feature clustering using microarray gene expression data.
Proceedings of the 11th International Conference on Hybrid Intelligent Systems, 2011

2010
Predicting Vertical Acceleration of Railway Wagons Using Regression Algorithms.
IEEE Trans. Intelligent Transportation Systems, 2010

Rule-based classification approach for railway wagon health monitoring.
Proceedings of the International Joint Conference on Neural Networks, 2010

Finding association of impact factor for breast cancer patient- A novel statistical approach.
Proceedings of the International Joint Conference on Neural Networks, 2010

Above the Trust and Security in Cloud Computing: A Notion Towards Innovation.
Proceedings of the IEEE/IFIP 8th International Conference on Embedded and Ubiquitous Computing, 2010

2009
Early Breast Cancer Identification: Which Way to Go? Microarray or Image Based Computer Aided Diagnosis!.
Proceedings of the Third International Conference on Network and System Security, 2009

A Comparison Between Rule Based and Association Rule Mining Algorithms.
Proceedings of the Third International Conference on Network and System Security, 2009

Finding Association of Impact Factor for Breast Cancer Patient - A Novel Statistical Approach.
Proceedings of the 2009 Second International Conference on Environmental and Computer Science, 2009

Object Identification Based on Deformable Templates and Genetic Algorithms.
Proceedings of the Business Intelligence: Artificial Intelligence in Business, 2009

2008
TCP Performance over Proactive and Reactive Routing Protocols for Mobile Ad Hoc Networks.
Proceedings of the 2008 International Conference on Wireless Networks, 2008

Opto-tactile sensor for surface texture pattern identification using support vector machine.
Proceedings of the 10th International Conference on Control, 2008

Monitoring Vertical Acceleration of Railway Wagon using Machine Learning Technique.
Proceedings of the 2008 International Conference on Artificial Intelligence, 2008

Forecasting Vertical Acceleration Railway Wagons - A comparative study.
Proceedings of The 2008 International Conference on Data Mining, 2008

Rule Based Base Classifier Selection for Bagging Algorithm.
Proceedings of The 2008 International Conference on Data Mining, 2008

2007
On optimal degree selection for polynomial kernel with support vector machines: Theoretical and empirical investigations.
KES Journal, 2007

Optimal Classifier Selection for Adaptive Boosting Algorithm.
Proceedings of the 2007 International Conference on Machine Learning; Models, 2007

Performance Analysis of OFDM Systems with Phase Noise.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

Spam Classification Using Adaptive Boosting Algorithm.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

A Novel Classifier Selection Approach for Adaptive Boosting Algorithms.
Proceedings of the 6th Annual IEEE/ACIS International Conference on Computer and Information Science (ICIS 2007), 2007

2006
A meta-learning approach to automatic kernel selection for support vector machines.
Neurocomputing, 2006

On learning algorithm selection for classification.
Appl. Soft Comput., 2006

Retrospective Analysis for Mining the Causes in Manufacturing Processes.
Proceedings of the 2006 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2006), International Conference on Intelligent Agents, Web Technologies and Internet Commerce (IAWTIC 2006), 29 November, 2006

Improved Support Vector Machine Generalization Using Normalized Input Space.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005
Kernal Width Selection for SVM Classification: A Meta-Learning Approach.
IJDWM, 2005

2003
Improved Kernel Learning Using Smoothing Parameter Based Linear Kernel.
Proceedings of the Artificial Neural Nets Problem Solving Methods, 2003

Automatic parameter selection for polynomial kernel.
Proceedings of the 2003 IEEE International Conference on Information Reuse and Integration, 2003

Matching SVM Kernel's Suitability to Data Characteristics Using Tree by Fuzzy C-means Clustering.
Proceedings of the Design and Application of Hybrid Intelligent Systems, 2003

Nonlinear Discrimination Using Support Vector Machine.
Proceedings of the ISCA 18th International Conference Computers and Their Applications, 2003

2002
An Empirical Comparison of Kernel Selection for Support Vector Machines.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002


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