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KDD
1998
ACM
145views Data Mining» more  KDD 1998»
15 years 2 months ago
Aggregation of Imprecise and Uncertain Information for Knowledge Discovery in Databases
We consider the problem of aggregation for uncertain and imprecise data. For such data, we define aggregation operators and use them to provide information on properties and patte...
Sally I. McClean, Bryan W. Scotney, Mary Shapcott
PRICAI
2000
Springer
15 years 1 months ago
Discovery of Shared Topics Networks among People - A Simple Approach to Find Community Knowledge from WWW Bookmarks
In this paper, we propose a system called kMedia that can assist users to form knowledge for community by showing shared topics networks (STN) among them. One of the important aspe...
Hideaki Takeda, Takeshi Matsuzuka, Yuichiro Tanigu...
APCHI
2004
IEEE
15 years 1 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley
FSKD
2010
Springer
270views Fuzzy Logic» more  FSKD 2010»
14 years 11 months ago
Ontology-based knowledge discovery and sharing in bioinformatics and medical informatics: A brief survey
Abstract--Worldwide health scientists are producing, accessing, analyzing, integrating, and storing massive amounts of digital medical data daily, through observation, experimentat...
Jingshan Huang, Dejing Dou, Lei He, Pat Hayes, Jia...
AAAI
2007
15 years 4 days ago
Knowledge-Driven Learning and Discovery
The goal of our current research is machine learning with the help and guidance of a knowledge base (KB). Rather than learning numerical models, our approach generates explicit sy...
Benjamin Lambert, Scott E. Fahlman