Name
Title | ||
|---|---|---|
An Efficient Algorithm for Finding Continuous Coherent Evolution Bicluster in Time-Series Data |
Abstract | ||
|---|---|---|
Most traditional biclustering algorithms focus on biclustering model on non-continuous column, which are not suitable for the analysis of the time series gene expression data. We proposes an effective and exact algorithm, which can be used to mine biclusters with coherent evolution on the contiguous columns as well as the complementary biclusters and time-lagged biclusters for the analysis of time series gene expression data. The experimental results show that the algorithm can find biclusters with statistical significance and strong biological relevance. We extend it to the currency data analysis in the financial field and obtain meaningful results. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICDMW.2014.123 | ICDM Workshops |
Keywords | DocType | Citations |
biological relevance,coherent evolution,currency data analysis,pattern clustering,statistical significance,financial field,biclustering model,complementary,time series gene expression data analysis,statistical analysis,genetics,biclustering algorithm,time-lagged,foreign exchange trading,data analysis,time-series data,bicluster,bicluster mining,time-lagged bicluster,continuous coherent evolution bicluster finding,data mining,bioinformatics,contiguous column coherent evolution,noncontinuous column,time series,market research,clustering algorithms,time series analysis,gene expression,algorithm design and analysis,indexes | Conference | 0 |
PageRank | References | Authors |
0.34 | 8 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yun Xue | 1 | 11 | 3.59 |
| Jie Luo | 2 | 706 | 73.44 |
| Hao Lan Zhang | 3 | 0 | 0.34 |
| Zhengling Liao | 4 | 5 | 3.44 |
| Meihang Li | 5 | 8 | 3.83 |
| Qiuhua Kuang | 6 | 1 | 1.02 |