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» Numbers in Multi-relational Data Mining
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SGAI
2007
Springer
14 years 2 months ago
Frequent Set Meta Mining: Towards Multi-Agent Data Mining
In this paper we describe the concept of Meta ARM in the context of its objectives and challenges and go on to describe and analyse a number of potential solutions. Meta ARM is de...
Kamal Ali Albashiri, Frans Coenen, Robert Sanderso...
PDP
2008
IEEE
14 years 2 months ago
CoDaMine: Communication Data Mining for Feedback and Control in Ubiquitous Environments
In ubiquitous environments an increasing number of sensors capture information on users and an increasing number of actuators present information to users. In this paper we presen...
Tom Gross, Mirko Fetter
PVLDB
2010
127views more  PVLDB 2010»
13 years 3 months ago
Mining Significant Semantic Locations From GPS Data
With the increasing deployment and use of GPS-enabled devices, massive amounts of GPS data are becoming available. We propose a general framework for the mining of semantically me...
Xin Cao, Gao Cong, Christian S. Jensen
ICDM
2005
IEEE
177views Data Mining» more  ICDM 2005»
14 years 2 months ago
Average Number of Frequent (Closed) Patterns in Bernouilli and Markovian Databases
In data mining, enumerate the frequent or the closed patterns is often the first difficult task leading to the association rules discovery. The number of these patterns represen...
Loïck Lhote, François Rioult, Arnaud S...
ADMA
2005
Springer
119views Data Mining» more  ADMA 2005»
14 years 2 months ago
Heuristic Scheduling of Concurrent Data Mining Queries
Execution cost of batched data mining queries can be reduced by integrating their I/O steps. Due to memory limitations, not all data mining queries in a batch can be executed toget...
Marek Wojciechowski, Maciej Zakrzewicz