[PDF][PDF] A review of data mining classification techniques applied for diagnosis and prognosis of the arbovirus-dengue

AS Fathima, D Manimegalai, N Hundewale - International Journal of …, 2011 - Citeseer
Chikungunya (CHIK) virus, similar to Dengue pose a serious threat in Tropics, because of
the year-round presence of Aedes mosquito vectors. The use of machine learning …

Integrated analysis of gene expression by association rules discovery

P Carmona-Saez, M Chagoyen, A Rodriguez… - BMC …, 2006 - Springer
Background Microarray technology is generating huge amounts of data about the
expression level of thousands of genes, or even whole genomes, across different …

Fuzzy association rules for biological data analysis: a case study on yeast

FJ Lopez, A Blanco, F Garcia, C Cano, A Marin - BMC bioinformatics, 2008 - Springer
Background Last years' mapping of diverse genomes has generated huge amounts of
biological data which are currently dispersed through many databases. Integration of the …

Association rule mining of cellular responses induced by metal and metal oxide nanoparticles

R Liu, B France, S George, R Rallo, H Zhang, T Xia… - Analyst, 2014 - pubs.rsc.org
Relationships among fourteen different biological responses (including ten signaling
pathway activities and four cytotoxicity effects) of murine macrophage (RAW264. 7) and …

Evaluation of hierarchical interestingness measures for mining pairwise generalized association rules

F Benites, E Sapozhnikova - IEEE Transactions on Knowledge …, 2014 - ieeexplore.ieee.org
In the literature about association analysis, many interestingness measures have been
proposed to assess the quality of obtained association rules in order to select a small set of …

Donor research and matching system based on data mining in organ transplantation

AS Koyuncugil, N Ozgulbas - Journal of medical systems, 2010 - Springer
It is very important to identify the appropriate donor in organ transplantation under the time
constraint. Clearly, adequate time must be spent in appropriate donor research in that kind …

Extracting biological knowledge by fuzzy association rule mining

FJ Lopez, A Blanco, F Garcia… - 2007 IEEE International …, 2007 - ieeexplore.ieee.org
Last years' mapping of diverse genomes has generated huge amounts of biological data
which are currently dispersed through many databases. Biological data are often …

Mining rare associations between biological ontologies

F Benites, S Simon, E Sapozhnikova - PloS one, 2014 - journals.plos.org
The constantly increasing volume and complexity of available biological data requires new
methods for their management and analysis. An important challenge is the integration of …

Data mining for “big archives” analysis: A case study

M Esteva, JF Tang, W Xu… - Proceedings of the …, 2013 - Wiley Online Library
We present a case of archival analysis using a combination of data mining methods. The
team of researchers, composed by archivists and computer scientists, used a collection of …

Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides

F Benites, E Sapozhnikova - Pattern Recognition Letters, 2015 - Elsevier
Pairwise generalized association rules mined from raw data can be used to connect the
concepts of multiple ontologies. In this case the items of rules are hierarchically organized …