Name
Abstract | ||
|---|---|---|
A new research method for the sleepy lizards based on the KNN algorithm and the traditional social network algorithms is proposed in this paper. The famous paired habit of sleepy lizards is verified here based on our proposed algorithm. In addition, some common population characteristics of the lizards are also introduced by using the traditional social net work algorithms. Good performance of the experimental results shows efficiency of the new research method. © 2012 Springer-Verlag. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1007/978-3-642-28490-8_12 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
new research method,sleepy lizard,KNN algorithm,proposed algorithm,traditional social network algorithm,work algorithm,common population characteristic,experimental result,good performance | Research method,k-nearest neighbors algorithm,Population,Social network,Computer science,Habit,Artificial intelligence,Machine learning | Conference |
Volume | Issue | ISSN |
7197 LNAI | PART 2 | 16113349 |
ISBN | Citations | PageRank |
9783642284892 | 0 | 0.34 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guo Xiaolv | 1 | 0 | 0.34 |
| Chu Shu-Chuan | 2 | 425 | 53.51 |
| Tang Lin-Lin | 3 | 31 | 12.25 |
| John F. Roddick | 4 | 1908 | 331.20 |
| Pan Jeng-Shyang | 5 | 2466 | 269.74 |