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
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;
Conference_Titel :
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-4712-1
Electronic_ISBN :
2151-7614
DOI :
10.1109/ICBBE.2010.5516318