DocumentCode
3118446
Title
Research Topic Evolution in "Bioinformatics"
Author
Wu, Hao ; Wang, Meijiao ; Feng, Jiaming ; Pei, Yijian
Author_Institution
Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
Bioinformatics has grown about thirty years. Especially in the past ten years, the field developed in leaps and bounds and emerged many research works. Whether as a novice, or a famous scholar, would like to be able to glimpse the research situation of this field, and get an intuitive and quantified understanding. This article aims to use new machine learning techniques to mine the literatures in the field of bioinformatics and discover the important research topics, to quantify the evolution of these themes and show the trend.
Keywords
bioinformatics; learning (artificial intelligence); bioinformatics; data mining; literatures; machine learning; research topic evolution; Bioinformatics; Evolution (biology); History; Information science; Information technology; Linear discriminant analysis; Machine learning; Sampling methods; Statistics; Time factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5516318
Filename
5516318
Link To Document