Name
Title | ||
|---|---|---|
Using the K-Nearest Neighbor Method and SMART Weighting in the Patent Document Categorization Subtask at NTCIR-6 |
Abstract | ||
|---|---|---|
Patent processing is important in industry, business, and law. We participated in the classification subtask (at NTCIR-6 Patent Retrieval Task), in which, we clas- sified patent documents into their F-terms using the k- nearest neighbor method. For document classification, F-term categories are both very precise and useful. We entered five systems in the classification subtask and obtained good results with them. Thus, we confirmed the effectiveness of our method. By comparing vari- ous similarity calculation methods, we confirmed that the SMART weighting scheme was the most effective method in our experiments. |
Year | Venue | Field |
|---|---|---|
2007 | NTCIR | k-nearest neighbors algorithm,Document classification,Data mining,Categorization,Weighting,Information retrieval,Effective method,Computer science,Patent retrieval |
DocType | Citations | PageRank |
Conference | 3 | 0.46 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Masaki Murat | 1 | 28 | 4.85 |
| Toshiyuki Kanamaru | 2 | 4 | 1.21 |
| Tamotsu Shirado | 3 | 14 | 5.55 |
| Hitoshi Isahara | 4 | 1267 | 165.21 |