Malcolm Keech

According to our database1, Malcolm Keech authored at least 13 papers between 2008 and 2017.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2017
A novel approach to knowledge discovery and representation in biological databases.
Int. J. Bioinform. Res. Appl., 2017

2016
Timeline and episode-structured clinical data: Pre-processing for Data Mining and analytics.
Proceedings of the 32nd IEEE International Conference on Data Engineering Workshops, 2016

2015
Data Mining Techniques in Health Informatics: A Case Study from Breast Cancer Research.
Proceedings of the Information Technology in Bio- and Medical Informatics, 2015

Emerging Technologies for Health Data Analytics Research: A Conceptual Architecture.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

2014
Applications of Concurrent Sequential Patterns in Protein Data Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Protein Data Modelling for Concurrent Sequential Patterns.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

2013
Concurrent sequential patterns mining and frequent partial orders modelling.
Int. J. Bus. Intell. Data Min., 2013

Applications of Concurrent Access Patterns in Web Usage Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

2011
A novel hybrid tabu search approach to container loading.
Comput. Oper. Res., 2011

2010
Graph-Based Modelling of Concurrent Sequential Patterns.
Int. J. Data Warehous. Min., 2010

Discovering exclusive patterns in frequent sequences.
Int. J. Data Min. Model. Manag., 2010

Sequential Patterns Postprocessing for Structural Relation Patterns Mining.
Proceedings of the Strategic Advancements in Utilizing Data Mining and Warehousing Technologies: New Concepts and Developments, 2010

2008
Sequential Patterns Postprocessing for Structural Relation Patterns Mining.
Int. J. Data Warehous. Min., 2008


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