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Clustering spatial-temporal precipitation data using wavelet transform and self-organizing map neural network
TLDR
A data analysis method is proposed to cluster and explore spatio-temporal characteristics of the 22 years of precipitation data (1982–2003) for Taiwan. Expand
A fuzzy conceptualization model for text mining with application in opinion polarity classification
TLDR
We propose a novel classification framework based on fuzzy formal concept analysis to conceptualize documents into a more abstract form of concepts, and use these as the training examples to alleviate the arbitrary outcomes caused by ambiguous terms. Expand
Deterministic fuzzy time series model for forecasting enrollments
TLDR
This paper proposes a novel deterministic forecasting model to manage these crucial issues. Expand
Data mining to aid policy making in air pollution management
TLDR
We apply data mining to uncover the hidden knowledge of air pollution distribution in the voluminous data retrieved from monitoring stations in TAQMN. Expand
Business intelligence approach to supporting strategy-making of ISP service management
TLDR
The recent deregulation of telecommunication industry by the Taiwanese government has brought about the acute competition for Internet Service Providers (ISP). Expand
An intelligent decision-support model using FSOM and rule extraction for crime prevention
TLDR
In the recent era of increasing volume crimes, crime prevention is now one of the most important global issues, along with the great concern of strengthening public security. Expand
The evaluation of consumer loans using support vector machines
TLDR
The commencement of the Basel II requirement, popularization of consumer loans and the intense competition in financial market has increased the awareness of the critical delinquency issue for financial institutions in granting loans to potential applicants. Expand
Predicting financial activity with evolutionary fuzzy case-based reasoning
TLDR
We propose a hybrid decision model using case-based reasoning augmented with genetic algorithms (GAs) and the fuzzy k nearest neighbor (fuzzy k-NN) methods for predicting the financial activity rate. Expand
A frame knowledge system for managing financial decision knowledge
TLDR
This paper proposes a frame knowledge system to assist managing an expert's decision knowledge in evaluating an enterprise’s financial health in the context of finance management. Expand
Intelligent physician segmentation and management based on KDD approach
TLDR
This paper uses knowledge discovery in database (KDD) to segment the general practitioners' (GPs') profiles by carrying out clustering techniques based on the features of expenditures, and then builds health expenditure information to support decision makers in the management of various GP's practice patterns. Expand
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