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On the effectiveness of user manipulation in multidimensional projections
(Sociedade Brasileira de Computação - SBCUniversidade Federal da Bahia - UFBASalvador, 2015-08)
With the advent of interactive techniques for multidimensional data visualization using dimensionality reduction, new possibilities of dealing with data complexity were introduced. The idea behind those methods is to allow ...
Data classification: Dimensionality reduction using combined and non-combined multidimensional projection techniques
(2018-12-13)
Dimensionality Reduction is a commonly used method to reduce the number of dimensions of data. In this work, we verified its influence in classification process using combinations of projection techniques as dimensionality ...
Dimensionality reduction for the algorithm recommendation problem
(2018-12-13)
Given the increase in data generation, as many algorithms have become available in recent years, the algorithm recommendation problem has attracted increasing attention in Machine Learning. This problem has been addressed ...
A Configurable Strategy for Extraction, Transformation and Load to Support Data Propagation on Active Data Warehouses
(Ieee, 2016-01-01)
This work consists of the construction of a strategy called ETL-PoCon to execute Extraction, Transformation and Load (ETL) processes in active Data Warehouses (DW) with a configurable policy. The original contribution of ...
A configurable strategy for extraction, transformation and load to support data propagation on active data warehouses
(2017-06-07)
This work consists of the construction of a strategy called ETL-PoCon to execute Extraction, Transformation and Load (ETL) processes in active Data Warehouses (DW) with a configurable policy. The original contribution of ...
Identifying multiple interacting bad data in power system state estimation
(2005-10-31)
This paper presents an intelligent search strategy for the conforming bad data errors identification in the generalized power system state estimation, by using the tabu search meta heuristic. The main objective is to detect ...
Classification of petroleum well drilling operations using Support Vector Machine (SVM)
(2007-12-01)
During the petroleum well drilling operation many mechanical and hydraulic parameters are monitored by an instrumentation system installed in the rig called a mud-logging system. These sensors, distributed in the rig, ...
Conceptual model for adaptable and extensible visual data exploration
(2004-12-01)
Interactive visual representations complement traditional statistical and machine learning techniques for data analysis, allowing users to play a more active role in a knowledge discovery process and making the whole process ...
A multi-agent architecture for intelligent data analysis
(2011-09-14)
The present study introduces a multi-agent architecture designed for doing automation process of data integration and intelligent data analysis. Different from other approaches the multi-agent architecture was designed ...
A restricted boltzmann machine-based approach for robust dimensionality reduction
(2018-01-31)
Data dimensionality is an important issue to be adressed by pattern recognition systems. Despite of storage and processing, working with high-dimensional feature vectors also requires complex optimization methods. A proper ...