His primary areas of investigation include Artificial immune system, Artificial intelligence, Anomaly detection, Immune system and Intrusion detection system. His Artificial immune system study combines topics from a wide range of disciplines, such as Algorithm, Key, Cognitive science and Antigen. His Artificial intelligence study incorporates themes from Machine learning, Scheduling and Pattern recognition.
His Anomaly detection research integrates issues from Data stream, False positive paradox, Sensor fusion and Antigen-presenting cell. To a larger extent, Uwe Aickelin studies Computer security with the aim of understanding Intrusion detection system. As part of one scientific family, Uwe Aickelin deals mainly with the area of Evolutionary algorithm, narrowing it down to issues related to the Robustness, and often Mathematical optimization.
His primary scientific interests are in Artificial intelligence, Artificial immune system, Machine learning, Immune system and Data mining. The Artificial intelligence study combines topics in areas such as Genetic algorithm, Set and Pattern recognition. While the research belongs to areas of Genetic algorithm, Uwe Aickelin spends his time largely on the problem of Nurse scheduling problem, intersecting his research to questions surrounding Joint probability distribution.
His Artificial immune system study integrates concerns from other disciplines, such as Field, Anomaly detection, Intrusion detection system and Recommender system. His Anomaly detection research incorporates themes from Algorithm and Antigen-presenting cell. His work in Innate immune system and Acquired immune system are all subfields of Immune system research.
His primary areas of study are Artificial intelligence, Machine learning, Data mining, Cluster analysis and Fuzzy set. His work in the fields of Artificial intelligence, such as Artificial neural network, overlaps with other areas such as Regular expression. His work is dedicated to discovering how Machine learning, Classifier are connected with Supervised learning, Novelty, Rule-based system and Dunn index and other disciplines.
Many of his research projects under Data mining are closely connected to Weighting with Weighting, tying the diverse disciplines of science together. Uwe Aickelin combines subjects such as Jaccard index, Mathematical optimization and Quality of life with his study of Fuzzy set. His studies in Pattern recognition integrate themes in fields like Data stream and Anomaly detection.
Uwe Aickelin focuses on Artificial intelligence, Data mining, Machine learning, Pattern recognition and Pattern recognition. His Artificial intelligence research is multidisciplinary, incorporating perspectives in Missing data and Imputation. His work on Data stream mining as part of general Data mining study is frequently linked to Consumer debt, Impulsivity and Work, therefore connecting diverse disciplines of science.
His studies deal with areas such as Classifier and Diversity as well as Machine learning. His Pattern recognition study combines topics in areas such as Dice and Interval valued. The Pattern recognition study combines topics in areas such as Biometrics, World Wide Web, eHealth and Medical record.
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Danger theory: The link between AIS and IDS?
Uwe Aickelin;Peter J. Bentley;Steve Cayzer;Jungwon Kim.
international conference on artificial immune systems (2003)
An indirect genetic algorithm for a nurse-scheduling problem
Uwe Aickelin;Kathryn A. Dowsland.
Computers & Operations Research (2004)
Introducing dendritic cells as a novel immune-inspired algorithm for anomaly detection
Julie Greensmith;Uwe Aickelin;Steve Cayzer.
international conference on artificial immune systems (2005)
Immune system approaches to intrusion detection --- a review
Jungwon Kim;Peter J. Bentley;Uwe Aickelin;Julie Greensmith.
Natural Computing (2007)
Exploiting problem structure in a genetic algorithm approach to a nurse rostering problem
Uwe Aickelin;Kathryn A. Dowsland.
Journal of Scheduling (2000)
The Danger Theory and Its Application to Artificial Immune Systems
Uwe Aickelin;Steve Cayzer.
international conference on artificial immune systems (2002)
Immune System Approaches to Intrusion Detection – A Review
Uwe Aickelin;Julie Greensmith;Jamie Twycross.
international conference on artificial immune systems (2004)
Articulation and clarification of the dendritic cell algorithm
Julie Greensmith;Uwe Aickelin;Jamie Twycross.
international conference on artificial immune systems (2006)
The Deterministic Dendritic Cell Algorithm
Julie Greensmith;Uwe Aickelin.
international conference on artificial immune systems (2008)
An Indirect Genetic Algorithm for Set Covering Problems
Journal of the Operational Research Society (2002)
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