TY - GEN
T1 - A comparative study of FCA-based supervised classification algorithms
AU - Fu, Huaiyu
AU - Fu, Huaiguo
AU - Njiwoua, Patrik
AU - Mephu Nguifo, Engelbert
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2004.
PY - 2004
Y1 - 2004
N2 - Several FCA-based classification algorithms have been proposed, such as GRAND, LEGAL, GALOIS, RULEARNER, CIBLe, and CLNN & CLNB. These classifiers have been compared to standard classification algorithms such as C4.5, Naïve Bayes or IB1. They have never been compared each other in the same platform, except between LEGAL and CIBLe. Here we compare them together both theoretically and experimentally, and also with the standard machine learning algorithm C4.5. Experimental results are discussed.
AB - Several FCA-based classification algorithms have been proposed, such as GRAND, LEGAL, GALOIS, RULEARNER, CIBLe, and CLNN & CLNB. These classifiers have been compared to standard classification algorithms such as C4.5, Naïve Bayes or IB1. They have never been compared each other in the same platform, except between LEGAL and CIBLe. Here we compare them together both theoretically and experimentally, and also with the standard machine learning algorithm C4.5. Experimental results are discussed.
UR - http://www.scopus.com/inward/record.url?scp=9444220782&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-24651-0_26
DO - 10.1007/978-3-540-24651-0_26
M3 - Conference contribution
AN - SCOPUS:9444220782
SN - 3540210431
SN - 9783540210436
T3 - Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
SP - 313
EP - 320
BT - Concept Lattices
A2 - Eklund, Peter
PB - Springer
Y2 - 23 February 2004 through 26 February 2004
ER -