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» Clustering in a Multi-Agent Data Mining Environment
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ICDM
2005
IEEE
148views Data Mining» more  ICDM 2005»
15 years 3 months ago
Online Hierarchical Clustering in a Data Warehouse Environment
Many important industrial applications rely on data mining methods to uncover patterns and trends in large data warehouse environments. Since a data warehouse is typically updated...
Elke Achtert, Christian Böhm, Hans-Peter Krie...
ISMIS
2009
Springer
15 years 4 months ago
Relational Sequence Clustering for Aggregating Similar Agents
Many clustering methods are based on flat descriptions, while data regarding real-world domains include heterogeneous objects related to each other in multiple ways. For instance,...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
KESAMSTA
2010
Springer
15 years 2 months ago
Classifying Agent Behaviour through Relational Sequential Patterns
Abstract. In Multi-Agent System, observing other agents and modelling their behaviour represents an essential task: agents must be able to quickly adapt to the environment and infe...
Grazia Bombini, Nicola Di Mauro, Stefano Ferilli, ...
VLDB
1998
ACM
112views Database» more  VLDB 1998»
15 years 1 months ago
Incremental Clustering for Mining in a Data Warehousing Environment
Data warehouses provide a great deal of opportunities for performing data mining tasks such as classification and clustering. Typically, updates are collected and applied to the d...
Martin Ester, Hans-Peter Kriegel, Jörg Sander...
CASCON
1997
232views Education» more  CASCON 1997»
14 years 11 months ago
DBMiner: a system for data mining in relational databases and data warehouses
A data mining system, DBMiner, has been developed for interactive mining of multiple-level knowledgeinlargerelationaldatabases and data warehouses. The system implements a wide sp...
Jiawei Han, Jenny Chiang, Sonny Han Seng Chee, Jia...