Applied multivariate statistical analysis
Applied multivariate statistical analysis
Computer systems that learn: classification and prediction methods from statistics, neural nets, machine learning, and expert systems
A composite approach to inducing knowledge for expert systems design
Management Science
C4.5: programs for machine learning
C4.5: programs for machine learning
A comparative analysis of inductive-learning algorithms
International Journal of Intelligent Systems in Accounting and Finance Management - Special issue on neural networks
Machine learning, neural and statistical classification
Data mining and knowledge discovery in databases
Communications of the ACM
Predictive data mining: a practical guide
Predictive data mining: a practical guide
Inductive modeling of expert decision making in loan evaluation: a decision strategy perspective
Decision Support Systems - Special issue: expertise and modeling expert decision making
International Journal of Intelligent Systems in Accounting and Finance Management
Data Mining by Means of Binary Representation: A Model for Similarity and Clustering
Information Systems Frontiers
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Using data mining to profile TV viewers
Communications of the ACM - Mobile computing opportunities and challenges
Relationships Between Job Skills and Performance: A Study of Webmasters
Journal of Management Information Systems
A Query-Driven Approach to the Design and Management of Flexible Database Systems
Journal of Management Information Systems
The exploration of consumers' behavior in choosing hospital by the application of neural network
Expert Systems with Applications: An International Journal
An empirical validation of a neural network model for software effort estimation
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Analysis on risk factors for cervical cancer using induction technique
Expert Systems with Applications: An International Journal
Detecting deception through linguistic analysis
ISI'03 Proceedings of the 1st NSF/NIJ conference on Intelligence and security informatics
An expert system for perfume selection using artificial neural network
Expert Systems with Applications: An International Journal
Applying ANNs into constructing the CLV discriminant model
DNCOCO'06 Proceedings of the 5th WSEAS international conference on Data networks, communications and computers
Customer segmentation of multiple category data in e-commerce using a soft-clustering approach
Electronic Commerce Research and Applications
Forecasting medical cost inflation rates: A model comparison approach
Decision Support Systems
Conjecturable knowledge discovery: A fuzzy clustering approach
Fuzzy Sets and Systems
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Data-mining techniques are designed for classification problems in which each observation is a member of one and only one category. We formulate ten data representations that could be used to extend those methods to problems in which observations may be full members of multiple categories. We propose an audit matrix methodology for evaluating the performance of three popular data-mining techniques--linear discriminant analysis, neural networks, and decision tree induction-- using the representations that each technique can accommodate. We then empirically test our approach on an actual surgical data set. Tree induction gives the lowest rate of false positive predictions, and a version of discriminant analysis yields the lowest rate of false negatives for multiple category problems, but neural networks give the best overall results for the largest multiple classification cases. There is substantial room for improvement in overall performance for all techniques.