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» Multiple regression with fuzzy data
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ICDE
2005
IEEE
108views Database» more  ICDE 2005»
14 years 1 months ago
Robust Identification of Fuzzy Duplicates
Detecting and eliminating fuzzy duplicates is a critical data cleaning task that is required by many applications. Fuzzy duplicates are multiple seemingly distinct tuples which re...
Surajit Chaudhuri, Venkatesh Ganti, Rajeev Motwani
ICML
2007
IEEE
14 years 8 months ago
Transductive regression piloted by inter-manifold relations
In this paper, we present a novel semisupervised regression algorithm working on multiclass data that may lie on multiple manifolds. Unlike conventional manifold regression algori...
Huan Wang, Shuicheng Yan, Thomas S. Huang, Jianzhu...
EUSFLAT
2009
214views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
Non-additive Robust Ordinal Regression with Choquet integral, Bipolar and Level Dependent Choquet integrals
Abstract-- Choquet integral has proved to be an effective aggregation model in multiple criteria decision analysis when interactions between criteria have to be taken into consider...
Silvia Angilella, Salvatore Greco, Benedetto Matar...
FSS
2002
103views more  FSS 2002»
13 years 7 months ago
A fuzzy seasonal ARIMA model for forecasting
This paper proposes a fuzzy seasonal ARIMA (FSARIMA) forecasting model, which combines the advantages of the seasonal time series ARIMA (SARIMA) model and the fuzzy regression mod...
Fang-Mei Tseng, Gwo-Hshiung Tzeng
HAIS
2011
Springer
12 years 11 months ago
Evolving Temporal Fuzzy Association Rules from Quantitative Data with a Multi-Objective Evolutionary Algorithm
A novel method for mining association rules that are both quantitative and temporal using a multi-objective evolutionary algorithm is presented. This method successfully identifie...
Stephen G. Matthews, Mario A. Góngora, Adri...