A review of subsequence time series clustering
S Zolhavarieh, S Aghabozorgi… - The Scientific World …, 2014 - Wiley Online Library
Clustering of subsequence time series remains an open issue in time series clustering.
Subsequence time series clustering is used in different fields, such as e‐commerce, outlier …
Subsequence time series clustering is used in different fields, such as e‐commerce, outlier …
On finding bicliques in bipartite graphs: a novel algorithm and its application to the integration of diverse biological data types
Y Zhang, CA Phillips, GL Rogers, EJ Baker… - BMC …, 2014 - Springer
Background Integrating and analyzing heterogeneous genome-scale data is a huge
algorithmic challenge for modern systems biology. Bipartite graphs can be useful for …
algorithmic challenge for modern systems biology. Bipartite graphs can be useful for …
[PDF][PDF] Data mining in education: A review on the knowledge discovery perspective
P Guleria, M Sood - International Journal of Data Mining & …, 2014 - academia.edu
ABSTRACT Knowledge Discovery in Databases is the process of finding knowledge in
massive amount of data where data mining is the core of this process. Data mining can be …
massive amount of data where data mining is the core of this process. Data mining can be …
Biclustering methods: biological relevance and application in gene expression analysis
A Oghabian, S Kilpinen, S Hautaniemi, E Czeizler - PloS one, 2014 - journals.plos.org
DNA microarray technologies are used extensively to profile the expression levels of
thousands of genes under various conditions, yielding extremely large data-matrices. Thus …
thousands of genes under various conditions, yielding extremely large data-matrices. Thus …
BicPAM: Pattern-based biclustering for biomedical data analysis
R Henriques, SC Madeira - Algorithms for Molecular Biology, 2014 - Springer
Background Biclustering, the discovery of sets of objects with a coherent pattern across a
subset of conditions, is a critical task to study a wide-set of biomedical problems, where …
subset of conditions, is a critical task to study a wide-set of biomedical problems, where …
A hierarchical method for whole‐brain connectivity‐based parcellation
D Moreno‐Dominguez, A Anwander… - Human brain …, 2014 - Wiley Online Library
In modern neuroscience there is general agreement that brain function relies on networks
and that connectivity is therefore of paramount importance for brain function. Accordingly …
and that connectivity is therefore of paramount importance for brain function. Accordingly …
BicSPAM: flexible biclustering using sequential patterns
R Henriques, SC Madeira - BMC bioinformatics, 2014 - Springer
Background Biclustering is a critical task for biomedical applications. Order-preserving
biclusters, submatrices where the values of rows induce the same linear ordering across …
biclusters, submatrices where the values of rows induce the same linear ordering across …
Applications of frequent pattern mining
CC Aggarwal - Frequent pattern mining, 2014 - Springer
Frequent pattern mining has broad applications which encompass clustering, classification,
software bug detection, recommendations, and a wide variety of other problems. In fact, the …
software bug detection, recommendations, and a wide variety of other problems. In fact, the …
Similarity measures for comparing biclusterings
D Horta, RJGB Campello - IEEE/ACM transactions on …, 2014 - ieeexplore.ieee.org
The comparison of ordinary partitions of a set of objects is well established in the clustering
literature, which comprehends several studies on the analysis of the properties of similarity …
literature, which comprehends several studies on the analysis of the properties of similarity …