Theoretical advances in artificial immune systems
Theoretical Computer Science
Flexible Immune Network Recognition System for Mining Heterogeneous Data
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Artificial Immune Systems and Kernel Methods
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
On the Relevance of Cellular Signaling Pathways for Immune-Inspired Algorithms
ICARIS '08 Proceedings of the 7th international conference on Artificial Immune Systems
Multi-label Hierarchical Classification of Protein Functions with Artificial Immune Systems
BSB '08 Proceedings of the 3rd Brazilian symposium on Bioinformatics: Advances in Bioinformatics and Computational Biology
Immune Systems and Computation: An Interdisciplinary Adventure
UC '08 Proceedings of the 7th international conference on Unconventional Computing
An immune-genetic algorithm for introduction planning of new products
Computers and Industrial Engineering
Behavioral analysis of cooperative/competitive antibody dynamics in garbage cleaning applications
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Theoretical advances of intelligent paradigms
Soft Computing Techniques for Internet Backbone Traffic Anomaly Detection
EvoWorkshops '09 Proceedings of the EvoWorkshops 2009 on Applications of Evolutionary Computing: EvoCOMNET, EvoENVIRONMENT, EvoFIN, EvoGAMES, EvoHOT, EvoIASP, EvoINTERACTION, EvoMUSART, EvoNUM, EvoSTOC, EvoTRANSLOG
An Immuno-engineering Approach for Anomaly Detection in Swarm Robotics
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
ICARIS '09 Proceedings of the 8th International Conference on Artificial Immune Systems
An evolutionary memetic algorithm for rule extraction
Expert Systems with Applications: An International Journal
Hybrid immune algorithm with intelligent recombination
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
A novel immune inspired approach to fault detection
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Towards a novel immune inspired approach to temporal anomaly detection
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
Regulatory T cells: inspiration for artificial immune systems
ICARIS'07 Proceedings of the 6th international conference on Artificial immune systems
A Survey of artificial immune applications
Artificial Intelligence Review
A hybrid immune model for unsupervised structural damage pattern recognition
Expert Systems with Applications: An International Journal
Architectures & infrastructure
Service research challenges and solutions for the future internet
Fault detection in analog circuits using a fuzzy dendritic cell algorithm
ICARIS'11 Proceedings of the 10th international conference on Artificial immune systems
A study of nature-inspired methods for financial trend reversal detection
EvoCOMNET'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part II
ACC'11/MMACTEE'11 Proceedings of the 13th IASME/WSEAS international conference on Mathematical Methods and Computational Techniques in Electrical Engineering conference on Applied Computing
Artificial immune system for illicit content identification in social media
Journal of the American Society for Information Science and Technology
Combinatorial complexity problem reduction by the use of artificial vaccines
Expert Systems with Applications: An International Journal
An evolutionary data-conscious artificial immune recognition system
Proceedings of the 15th annual conference on Genetic and evolutionary computation
A biological continuum based approach for efficient clinical classification
Journal of Biomedical Informatics
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This paper advocates a problem-oriented approach for the design of artificial immune systems (AIS) for data mining. By problem-oriented approach we mean that, in real-world data mining applications the design of an AIS should take into account the characteristics of the data to be mined together with the application domain: the components of the AIS - such as its representation, affinity function, and immune process - should be tailored for the data and the application. This is in contrast with the majority of the literature, where a very generic AIS algorithm for data mining is developed and there is little or no concern in tailoring the components of the AIS for the data to be mined or the application domain. To support this problem-oriented approach, we provide an extensive critical review of the current literature on AIS for data mining, focusing on the data mining tasks of classification and anomaly detection. We discuss several important lessons to be taken from the natural immune system to design new AIS that are considerably more adaptive than current AIS. Finally, we conclude this paper with a summary of seven limitations of current AIS for data mining and ten suggested research directions.