A Multiobjective Genetic Algorithm for Feature Selection in Data Mining
Journal Title: International Journal of Computer Science and Information Technologies - Year 2010, Vol 1, Issue 5
Abstract
The rapid advance of computer based highthroughput technique have provided unparalleled opportunities for humans to expand capabilities in production, services, communications, and research. Meanwhile, immense quantities of high-dimensional data are accumulated challenging state-of-the-art data mining techniques .The intelligent analysis of Databases may be affected by the presence of unimportant features, which motivates the application of Feature Selection. By treating this task as a search and optimization process, it is possible to use the synergy between Genetic Algorithms and Multi-objective Optimization to carry out the search for (quasi) optimal subsets of features considering possible conflicting importance criteria. This work presents an application of Multi-objective Genetic Algorithms to the Feature Selection problem, combining different criteria measuring the importance of the subsets of features.
Authors and Affiliations
Venkatadri. M , Srinivasa Rao. K
Keywords
Related Articles
- EP ID EP155226
- DOI -
- Views 99
- Downloads 0
An Efficient Routing scheme for reliable path establishment among Mobile Devices in Heterogeneous Networks
In heterogeneous networks, devices available with varying connectivity help to provide many new opportunities for efficiently utilizing new resources. In mobile ad hoc networks with varying layered a...
Fault-Tolerance and Permutation Analysis of ASEN and its Variant
High performance computing systems can be designed using parallel processing. The effectiveness of these parallel systems rests primarily on the communication network linking processors and memory mo...
Jacobi computation using mobile agent
Physical phenomena occur in a wide range of mathematical applications: from fluid to solid mechanics, electromagnetic and electrical engineering. Engineers working toward an optimized modelling must...
An overview of interval encoded temporal mining involving prioritized mining, fuzzy mining, and positive and negative rule mining
Databases and data warehouses have become a vital part of many organizations. So useful information and helpful knowledge have to be mined from transactions. In real life, media information has time attributes eith...
Synthesis of DSP Systems using Data Flow Graphs for Silicon Area Reduction
This paper presents a methodology to reduce the area of DSP architecture on silicon using folding. Folding is particularly important and has impact on large DSP circuits/architectures. This technique is powerful to redu...