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KDD
2004
ACM
14 years 10 months ago
2004
ACM
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
KDD
2004
ACM
14 years 10 months ago
2004
ACM
Extracting sentiments from unstructured text has emerged as an important problem in many disciplines. An accurate method would enable us, for example, to mine online opinions from ...
KDD
2004
ACM
14 years 3 months ago
2004
ACM
Spatial collocation patterns associate the co-existence of nonspatial features in a spatial neighborhood. An example of such a pattern can associate contaminated water reservoirs ...
RSCTC
2004
Springer
14 years 3 months ago
2004
Springer
In this paper, we present a missing data imputation method based on one of the most popular techniques in Knowledge Discovery in Databases (KDD), i.e. clustering technique. We comb...
DAWAK
2004
Springer
14 years 3 months ago
2004
Springer
Visualization techniques provide an outstanding role in KDD process for data analysis and mining. However, one image does not always convey successfully the inherent information fr...