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The new seeding technique is compared with two other detector seeding methods. The simulation results are presented showing an improvement in the classification accuracy and warranting current and future work.<\/p>","DOI":"10.4018\/ijaci.2013070101","type":"journal-article","created":{"date-parts":[[2014,2,25]],"date-time":"2014-02-25T19:12:42Z","timestamp":1393355562000},"page":"1-15","source":"Crossref","is-referenced-by-count":16,"title":["Artificial Immune Systems for Anomaly Detection in Ambient Assisted Living Applications"],"prefix":"10.4018","volume":"5","author":[{"given":"Sebastian","family":"Bersch","sequence":"first","affiliation":[{"name":"School of Engineering, University of Portsmouth, Portsmouth, UK"}]},{"given":"Djamel","family":"Azzi","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Portsmouth, Portsmouth, UK"}]},{"given":"Rinat","family":"Khusainov","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Portsmouth, Portsmouth, UK"}]},{"given":"Ifeyinwa E.","family":"Achumba","sequence":"additional","affiliation":[{"name":"School of Engineering, University of Portsmouth, Portsmouth, UK"}]}],"member":"2432","reference":[{"key":"ijaci.2013070101-0","unstructured":"Bersch, S., Azzi, D., & Khusainov, R. 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