118 search results - page 11 / 24 » Evolving Fuzzy-Rule-Based Classifiers From Data Streams |
KDD
2005
ACM
14 years 7 months ago
2005
ACM
While scalable data mining methods are expected to cope with massive Web data, coping with evolving trends in noisy data in a continuous fashion, and without any unnecessary stopp...
KDD
2012
ACM
11 years 9 months ago
2012
ACM
Building an accurate emerging pattern classifier with a highdimensional dataset is a challenging issue. The problem becomes even more difficult if the whole feature space is unava...
CVPR
2012
IEEE
12 years 19 days ago
2012
IEEE
Learning from streams of evolving and unbounded data is an important problem, for example in visual surveillance or internet scale data. For such large and evolving real-world data...
KDD
2012
ACM
11 years 9 months ago
2012
ACM
Tweets are the most up-to-date and inclusive stream of information and commentary on current events, but they are also fragmented and noisy, motivating the need for systems that c...
GLOBECOM
2008
IEEE
13 years 7 months ago
2008
IEEE
Hash functions have a space complexity of O(n) and a possible time complexity of O(1). Thus, packet classifiers exploit hashing to achieve packet classification in wire speed. Esp...