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TFS
2008
124views more  TFS 2008»
15 years 3 months ago
Evolving Fuzzy-Rule-Based Classifiers From Data Streams
Abstract--A new approach to the online classification of streaming data is introduced in this paper. It is based on a selfdeveloping (evolving) fuzzy-rule-based (FRB) classifier sy...
Plamen P. Angelov, Xiaowei Zhou
164
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AH
2008
Springer
15 years 10 months ago
A Rule-Based Recommender System for Online Discussion Forums
Abstract. In this paper we present a rule-based personalization framework for encapsulating and combining personalization algorithms known from adaptive hypermedia and recommender ...
Fabian Abel, Ig Ibert Bittencourt, Nicola Henze, D...
ASC
2011
14 years 11 months ago
Handling drifts and shifts in on-line data streams with evolving fuzzy systems
In this paper, we present new approaches to handling drift and shift in on-line data streams with the help of evolving fuzzy systems (EFS), which are characterized by the fact tha...
Edwin Lughofer, Plamen P. Angelov
EDBT
2012
ACM
299views Database» more  EDBT 2012»
13 years 6 months ago
RecStore: an extensible and adaptive framework for online recommender queries inside the database engine
Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
124
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WAIM
2005
Springer
15 years 9 months ago
Research Paper Recommender Systems: A Subspace Clustering Approach
Researchers from the same lab often spend a considerable amount of time searching for published articles relevant to their current project. Despite having similar interests, they c...
Nitin Agarwal, Ehtesham Haque, Huan Liu, Lance Par...