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GIR
2008
ACM
13 years 8 months ago
Mining the web to detect place names
With the aim to improve the quality of gazetteers for geographic information retrieval systems, we present a method to detect place names employed by people submitting information...
Florian A. Twaroch, Philip D. Smart, Christopher B...
HICSS
2006
IEEE
124views Biometrics» more  HICSS 2006»
14 years 1 months ago
Uncovering the Patterns in Pathology Ordering by Australian General Practitioners: A Data Mining Perspective
Pathology ordering by General Practitioners (GPs) is a significant contributor to rising health care costs both in Australia and worldwide. A thorough understanding of the nature ...
Zoe Yan Zhuang, Leonid Churilov, Ken Sikaris
DEXAW
2003
IEEE
164views Database» more  DEXAW 2003»
14 years 1 months ago
Towards an Open Service Architecture for Data Mining on the Grid
Across a wide variety of fields, huge datasets are being collected and accumulated at a dramatical pace. The datasets addressed by individual applications are very often heteroge...
Peter Brezany, Jürgen Hofer, Alexander Wö...
ADMI
2010
Springer
13 years 9 months ago
Clustering in a Multi-Agent Data Mining Environment
A Multi-Agent based approach to clustering using a generic Multi-Agent Data Mining (MADM) framework is described. The process use a collection of agents, running several different ...
Santhana Chaimontree, Katie Atkinson, Frans Coenen
DMIN
2006
141views Data Mining» more  DMIN 2006»
13 years 9 months ago
Detecting Cheats In Online Student Assessments Using Data Mining
: We can find several online assessment applications, Windows oriented or Web based, licensed or gnu free software, proprietary or standardized. All of them executing basic questio...
Genadiy Burlak, Jaime Muñoz, Alberto Ochoa,...