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ADMI
2010
Springer
14 years 11 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
JAISE
2010
182views Algorithms» more  JAISE 2010»
14 years 4 months ago
Exploring semantics in activity recognition using context lattices
Studying human activities has significant implication in human beneficial applications such as personal healthcare. This research has been facilitated by the development of sensor ...
Juan Ye, Simon Dobson
SIGMOD
2001
ACM
193views Database» more  SIGMOD 2001»
15 years 10 months ago
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Christian Böhm, Bernhard Braunmüller, Fl...
KDD
2007
ACM
159views Data Mining» more  KDD 2007»
15 years 10 months ago
Constraint-driven clustering
Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
Rong Ge, Martin Ester, Wen Jin, Ian Davidson
ICMCS
2005
IEEE
129views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Video handover for retrieval in a ubiquitous environment using floor sensor data
A system for retrieving video captured in a ubiquitous environment is presented. Data from pressure-based floor sensors are obtained as a supplementary input together with video f...
Gamhewage C. de Silva, Toshihiko Yamasaki, Takayuk...