Subset Selection in High Dimensional Data by Using Fast Technique
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 4
Abstract
Feature subset selection is an effective way for reducing dimensionality, removing irrelevant data, increasing learning accuracy and improving results comprehensibility. This process improved by cluster based FAST Algorithm using MST construction. With the aim of choosing a subset of good features with respect to the target concepts, feature subset selection is an effective way for reducing dimensionality, removing irrelevant data, increasing learning accuracy, and improving result comprehensibility. Features in different clusters are relatively independent; the clustering-based strategy of FAST has a high probability of producing a subset of useful and independent features. The proposed algorithm not only reduces the number of features, but also improves the performances of the four well-known different types of classifiers such as the probability-based Naive Bayes, the tree-based C4.5, the instance-based IB1, and the rule-based RIPPER before and after feature selection. We can construct FAST algorithm with prim’s algorithm based on MST construction. Our experimental results show that improves the performances of the four types of classifiers.
Authors and Affiliations
Ms. R. Devipriya (M. E
Keywords
Related Articles
- EP ID EP153536
- DOI -
- Views 61
- Downloads 0
INTELLIGENT NEURAL NETWORK WITH GREEDY ALIGNMENT FOR JOB-SHOP SCHEDULING
Job-Shop Scheduling (JSS) processes have highly complex structure in terms of many criteria. Because there is no limitation in the number of the process and there are many alternative scheduling. In JSS, each orde...
ONTOLOGY BASED ASPECT LEVEL OPINION MINING
In recent years, opinion mining has been investigated mainly in three level of granularity (document, sentence or aspect(feature)). However both document and sentence level analysis do not discover what exactly customers...
Review Paper on Vibration Reduction in Hand Held Power Machinery
Hand-arm vibration (HAV) is vibration transmitted from a work processes into workers’ hands and arms. It can be caused by operating hand-held power tools, hand-guided equipment, or by holding materials being proce...
CRACKING OF PALM OIL TO PRODUCE OLEOCHEMICALS
The FTIR and GC-MS tests are necessary for identification of oleochemicals produced via cracking. In this research, thermal cracking (without catalyst) and catalytic cracking of palm oil were carried out in a batch reac...
Human Character Recognition by Handwriting using Fuzzy Logic
Handwritten characters recognition is one of the most challenging & burning topic in the field of image processing & pattern recognition. The most prominent problem in handwriting recognition is the vast v...