A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm

Lin-Lin Tang; Jeng-Shyang Pan; XiaoLv Guo; Shu-Chuan Chu; John Roddick

doi:10.1007/978-3-319-02993-1_13

A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm

Lin-Lin Tang, Jeng-Shyang Pan, XiaoLv Guo, Shu-Chuan Chu, John Roddick

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

2 Citations (Scopus)

Abstract

The K-Nearest Neighbor algorithm is one of the commonly used methods for classification in machine learning and computational intelligence. A new research method and its improvement for the sleepy lizards based on the K-Nearest Neighbor algorithm and the traditional social network algorithms are proposed in this chapter. The famous paired living habit of sleepy lizards is verified 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.

Original language	English
Title of host publication	Social Networks: A Framework of Computational Intelligence
Subtitle of host publication	A Framework of Computational Intelligence
Publisher	Springer
Pages	287-311
Number of pages	25
Volume	526
ISBN (Print)	9783319029924
DOIs	https://doi.org/10.1007/978-3-319-02993-1_13
Publication status	Published - 2014

Publication series

Name	Studies in Computational Intelligence
Volume	526
ISSN (Print)	1860-949X

Keywords

Computational intelligence
K-Nearest neighbor (KNN) algorithm
Sleep lizard
Social network analysis (SNA)

Access to Document

10.1007/978-3-319-02993-1_13

Cite this

Tang, L-L., Pan, J-S., Guo, X., Chu, S-C., & Roddick, J. (2014). A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm. In Social Networks: A Framework of Computational Intelligence: A Framework of Computational Intelligence (Vol. 526, pp. 287-311). (Studies in Computational Intelligence; Vol. 526). Springer . https://doi.org/10.1007/978-3-319-02993-1_13

@inbook{5fc7e01972df444f92016c373e44a55f,

title = "A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm",

abstract = "The K-Nearest Neighbor algorithm is one of the commonly used methods for classification in machine learning and computational intelligence. A new research method and its improvement for the sleepy lizards based on the K-Nearest Neighbor algorithm and the traditional social network algorithms are proposed in this chapter. The famous paired living habit of sleepy lizards is verified 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.",

keywords = "Computational intelligence, K-Nearest neighbor (KNN) algorithm, Sleep lizard, Social network analysis (SNA)",

author = "Lin-Lin Tang and Jeng-Shyang Pan and XiaoLv Guo and Shu-Chuan Chu and John Roddick",

year = "2014",

doi = "10.1007/978-3-319-02993-1_13",

language = "English",

isbn = "9783319029924",

volume = "526",

series = "Studies in Computational Intelligence",

publisher = "Springer ",

pages = "287--311",

booktitle = "Social Networks: A Framework of Computational Intelligence",

}

Tang, L-L, Pan, J-S, Guo, X, Chu, S-C & Roddick, J 2014, A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm. in Social Networks: A Framework of Computational Intelligence: A Framework of Computational Intelligence. vol. 526, Studies in Computational Intelligence, vol. 526, Springer , pp. 287-311. https://doi.org/10.1007/978-3-319-02993-1_13

A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm. / Tang, Lin-Lin; Pan, Jeng-Shyang; Guo, XiaoLv et al.

Social Networks: A Framework of Computational Intelligence: A Framework of Computational Intelligence. Vol. 526 Springer , 2014. p. 287-311 (Studies in Computational Intelligence; Vol. 526).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm

AU - Tang, Lin-Lin

AU - Pan, Jeng-Shyang

AU - Guo, XiaoLv

AU - Chu, Shu-Chuan

AU - Roddick, John

PY - 2014

Y1 - 2014

N2 - The K-Nearest Neighbor algorithm is one of the commonly used methods for classification in machine learning and computational intelligence. A new research method and its improvement for the sleepy lizards based on the K-Nearest Neighbor algorithm and the traditional social network algorithms are proposed in this chapter. The famous paired living habit of sleepy lizards is verified 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.

AB - The K-Nearest Neighbor algorithm is one of the commonly used methods for classification in machine learning and computational intelligence. A new research method and its improvement for the sleepy lizards based on the K-Nearest Neighbor algorithm and the traditional social network algorithms are proposed in this chapter. The famous paired living habit of sleepy lizards is verified 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.

KW - Computational intelligence

KW - K-Nearest neighbor (KNN) algorithm

KW - Sleep lizard

KW - Social network analysis (SNA)

UR - http://www.scopus.com/inward/record.url?scp=84958546967&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-02993-1_13

DO - 10.1007/978-3-319-02993-1_13

M3 - Chapter

SN - 9783319029924

VL - 526

T3 - Studies in Computational Intelligence

SP - 287

EP - 311

BT - Social Networks: A Framework of Computational Intelligence

PB - Springer

ER -

A Novel Approach on Behavior of Sleepy Lizards Based on K-Nearest Neighbor Algorithm

Abstract

Publication series

Keywords

Access to Document

Other files and links

Fingerprint

Cite this