COID-FDCM: The fuzzy maintained dendritic cell classification method

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 7268 LNAI, Issue PART 2, 2012, Pages 233-241

  Chelly, Zeineb ^a   Smiti, Abir ^a   Elouedi, Zied ^a  

^a UNIVERSITÉ DE TUNIS   (Tunisia)

Author keywords

DBSCAN clustering method; dendritic cells; fuzzy c means clustering; fuzzy set theory; outliers

Indexed keywords

ARTIFICIAL INTELLIGENCE; CELLS; CLUSTER ANALYSIS; COMPUTATION THEORY; CYTOLOGY; DATABASE SYSTEMS; FUZZY SETS; SOFT COMPUTING;

CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; DBSCAN CLUSTERING; DENDRITIC CELL ALGORITHMS (DCA); DENDRITIC CELLS; FUZZY C MEANS CLUSTERING; MAINTENANCE DATABASE; OUTLIERS;

FUZZY SET THEORY;

EID: 84861036290     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-29350-4_28     Document Type: Conference Paper

References (10)

1. Greensmith, J., Aickelin, U., Cayzer, S.: Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomaly Detection. In: Jacob, C., Pilat, M.L., Bentley, P.J., Timmis, J.I. (eds.) ICARIS 2005. LNCS, vol. 3627, pp. 153-167. Springer, Heidelberg (2005)
2. Aickelin, U., Greensmith, J.: The Deterministic Dendritic Cell Algorithm. In: 7th International Conference on Artificial Immune Systems, Phuket, Thailand, pp. 291-302 (2008)
3. Smiti, A., Elouedi, Z.: Overview of Maintenance for Case based Reasoning Systems. International Journal of Computer Applications. Foundation of Computer Science 32(2), 49-56 (2011)
4. Smiti, A., Elouedi, Z.: COID: Maintaining Case Method Based on Clustering, Outliers and Internal Detection. In: Lee, R., Ma, J., Bacon, L., Du, W., Petridis, M. (eds.) SNPD 2010. SCI, vol. 295, pp. 39-52. Springer, Heidelberg (2010)
5. Chelly, Z., Elouedi, Z.: FDCM: A Fuzzy Dendritic Cell Method. In: 9th Internatinal Conference of Artificial Immune Systems, Edinburgh, U.K, pp. 102-115 (2010)
6. Chelly, Z., Elouedi, Z.: Further Exploration of the Fuzzy Dendritic Cell Method. In: 10th International Conference of Artificial Immune Systems, Cambridge, U.K, pp. 419-432 (2011)
7. Sander, J., Ester, M., Kriegel, H.P., Xu, X.: Density-Based Clustering in Spatial Databases The Algorithm GDBSCAN and Its Applications. Data Mining, Knowledge Discovery 2, 169-194 (1998)
8. Zadeh, L.: The Concept of a Linguistic Variable and its Application to Approximate Reasoning. Information Sciences 8, 199-251 (1975)
9. Bezdek, J.: Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981)
10. UCI machine learning repository, http://archive.ics.uci.edu