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Labeling association rule clustering through a genetic algorithm approach
(2014-01-01)
Among the post-processing association rule approaches, a promising one is clustering. When an association rule set is clustered, the user is provided with an improved presentation of the mined patterns, since he can have ...
Proposal of a performance management model for industrial clusters: Theoretical model and a case study
(2010-01-01)
In this article we propose a theoretical management model to assist governance agencies of industrial clusters in the management of collaborative initiatives as well as its own operations. The model focuses on the planning ...
VDBSCAN plus : Performance Optimization Based on GPU Parallelism
(Ieee, 2013-01-01)
Spatial data mining techniques enable the knowledge extraction from spatial databases. However, the high computational cost and the complexity of algorithms are some of the main problems in this area. This work proposes a ...
QK-Means: A Clustering Technique Based on Community Detection and K-Means for Deployment of Cluster Head Nodes
(Ieee, 2012-01-01)
Wireless Sensor Networks (WSN) are a special kind of ad-hoc networks that is usually deployed in a monitoring field in order to detect some physical phenomenon. Due to the low dependability of individual nodes, small radio ...
Unity cluster package – dragging and dropping components for multi-projection virtual reality applications based on PC clusters
(2015-01-01)
Virtual Reality applications created using game engines allow developers to quickly come up with a prototype that runs on a wide variety of systems, achieve high quality graphics, and supportmultiple devices easily. This ...
Named entities as privileged information for hierarchical text clustering
(Association for Computing Machinery - ACMInstituto Superior de Engenharia do Porto - ISEPPorto, 2014-07)
Text clustering is a text mining task which is often used to aid the organization, knowledge extraction, and exploratory search of text collections. Nowadays, the automatic text clustering becomes essential as the volume ...
Labeling methods for association rule clustering
(2012-09-10)
Although association mining has been highlighted in the last years, the huge number of rules that are generated hamper its use. To overcome this problem, many post-processing approaches were suggested, such as clustering, ...
Manifold learning-based clustering approach applied to anomaly detection in surveillance videos
(2020-01-01)
The huge increase in the amount of multimedia data available and the pressing need for organizing them in different categories, especially in scenarios where there are no labels available, makes data clustering an essential ...
Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos
(Scitepress, 2020-01-01)
The huge increase in the amount of multimedia data available and the pressing need for organizing them in different categories, especially in scenarios where there are no labels available, makes data clustering an essential ...