Name
Title | ||
|---|---|---|
Pattern evaluation using polynomial regression- a clustering and probabilistic approach |
Abstract | ||
|---|---|---|
In the paper, polynomial regression technique is proposed to evaluate the patterns of interest for knowledge generation. The data sets are initially clustered from which the training and test sets are generated by random selection method. For each training set, a best-fitted curve is obtained based on polynomial regression technique. Each curve is validated by its corresponding test data set and error associated to each curve is computed. Ultimately, the target model of the overall system has been framed using the probabilistic approach. The synergism of clustering and probabilistic technique is used together to increase the correctness and efficiency of the overall system. Analysis of the proposed system has been presented in comparison with the existing systems. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/GRC.2006.1635818 | GrC |
Keywords | Field | DocType |
clustering, regression, training and test set, probabilistic approach, pattern evaluation | Data mining,CURE data clustering algorithm,Data stream clustering,Pattern recognition,Polynomial,Computer science,Polynomial regression,Probabilistic analysis of algorithms,Artificial intelligence,Probabilistic logic,Biclustering,Cluster analysis | Conference |
Citations | PageRank | References |
0 | 0.34 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asit Kumar Das | 1 | 73 | 16.06 |
| Jaya Sil | 2 | 144 | 26.92 |