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AI
2001
Springer
15 years 9 months ago
Learning Bayesian Belief Network Classifiers: Algorithms and System
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
Jie Cheng, Russell Greiner
COMPSAC
1998
IEEE
15 years 8 months ago
Tools for the Knowledge Analyst: An Information Superiority Visionary Demonstration
This paper describes the application of a suite of innovative information processing and analytic support tools developed at The MITRE Corporation, in some cases as extensions of ...
Mark T. Maybury
135
Voted
COMPGEOM
1997
ACM
15 years 8 months ago
Time-Series Similarity Problems and Well-Separated Geometric Sets
Given a pair of nonidentical complex objects, de ning and determining how similar they are to each other is a nontrivial problem. In data mining applications, one frequently nee...
Béla Bollobás, Gautam Das, Dimitrios...
GRC
2009
IEEE
15 years 8 months ago
On the uniqueness of the expression for the Choquet integral with linear core in classification
The Choquet integral has been applied in data mining, such as nonlinear multiregressions and nonlinear classifications. Adopting signed efficiency measure in the Choquet integral ...
Weiwei Zhang, Wei Chen, Zhenyuan Wang
AUSAI
2006
Springer
15 years 8 months ago
DynamicWEB: Profile Correlation Using COBWEB
Establishing relationships within a dataset is one of the core objectives of data mining. In this paper a method of correlating behaviour profiles in a continuous dataset is presen...
Joel Scanlan, Jacky Hartnett, Raymond Williams
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