TY - GEN
T1 - Analysis and representation of biomedical data with concept lattice
AU - Fu, Huaiguo
AU - Jennings, Brendan
AU - Malone, Paul
PY - 2007
Y1 - 2007
N2 - As the progress in biology and medical science, especially in DNA technology, large amounts of biomedical data continue to grow inexorably in size, dimension and complexity. We need to develop more scalable and more efficient techniques and methods to analyze and represent the large and high-dimensional biomedical data sets. Formal Concept Analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concept lattice, which is derived from mathematical order theory and lattice theory, is the core of FCA. Many research works of various areas show that concept lattice structure is an effective platform for data mining, machine learning, information retrieval, software engineering, etc. This paper presents FCA for analysis and representation of biomedical data. Furthermore, we present a new lattice-based algorithm for analysis of large and high-dimensional biomedical data.
AB - As the progress in biology and medical science, especially in DNA technology, large amounts of biomedical data continue to grow inexorably in size, dimension and complexity. We need to develop more scalable and more efficient techniques and methods to analyze and represent the large and high-dimensional biomedical data sets. Formal Concept Analysis (FCA) is an effective tool for data analysis and knowledge discovery. Concept lattice, which is derived from mathematical order theory and lattice theory, is the core of FCA. Many research works of various areas show that concept lattice structure is an effective platform for data mining, machine learning, information retrieval, software engineering, etc. This paper presents FCA for analysis and representation of biomedical data. Furthermore, we present a new lattice-based algorithm for analysis of large and high-dimensional biomedical data.
UR - http://www.scopus.com/inward/record.url?scp=34748891767&partnerID=8YFLogxK
U2 - 10.1109/DEST.2007.372041
DO - 10.1109/DEST.2007.372041
M3 - Conference contribution
AN - SCOPUS:34748891767
SN - 1424404703
SN - 9781424404704
T3 - Proceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007
SP - 577
EP - 580
BT - Proceedings of the 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007
T2 - 2007 Inaugural IEEE-IES Digital EcoSystems and Technologies Conference, DEST 2007
Y2 - 21 February 2007 through 23 February 2007
ER -