Name
Title | ||
|---|---|---|
Research history generation from metainformation of research papers using maximum margin clustering |
Abstract | ||
|---|---|---|
Recently, analysing research papers to understand research trends researcher's research topics automatically from metainformation of research papers published on the internet. Our method is based on Maximum Margin Clustering (MMC). We describe how to represent research papers in form of vectors using metainformation about them and how to initialise the hyperplane for MMC automatically. In the experiments, we show that the purity of our method is higher than that achieved in previous work based on k-Means (0.58 vs 0.35) and entropy of our method is lower than that of previous work (0.415 vs 0.47). Experiment results also illustrates that keyword information of research papers affects the most to clustering result. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1504/IJBIDM.2012.049556 | IJBIDM |
Keywords | Field | DocType |
research topic,research history generation,maximum margin clustering,research paper,experiment result,clustering result,analysing research paper,keyword information,previous work,research trends researcher,mmc,clustering | Data mining,Computer science,Artificial intelligence,Hyperplane,Cluster analysis,Machine learning,The Internet | Journal |
Volume | Issue | Citations |
7 | 3 | 1 |
PageRank | References | Authors |
0.39 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Manh Cuong Nguyen | 1 | 43 | 4.03 |
| Daichi Kato | 2 | 1 | 0.72 |
| Taiichi Hashimoto | 3 | 35 | 4.88 |
| Haruo Yokota | 4 | 537 | 302.44 |