A Framework To Integrate Feature Selection Algorithm For Classification Of High Dimensional Data
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 5
Abstract
The explosive usage of social media produces huge quality of unlabeled and high-dimensional data. The data characteristic with this choice has been tested to be powerful in handling excessive-dimensional facts for effective learning and data mining. In this high-dimensional unsupervised function choice stays a tough task due to the absence of label facts based on which feature relevance is frequently assessed. The specific characteristic of social media statistics further complicate the difficult hassle of unsupervised characteristic selection which makes invalid and identically allotted assumption. In this context bringing approximately new demanding situations to unsupervised characteristic selection algorithmsis a big task. In this paper, we proposed a multiple trouble of function choice for social media records in an unmonitored scenario.Next, analyze the variations among social media data and traditional attribute-fee statistics which looks into the family members extracted from linked statistics to be exploited for selecting applicable functions. Finally, advocate a novel unsupervised feature choice framework, WSLA(Web Server Log Analyzer), for related social media information. Systematically style and implement the general experiments to assess the planned framework on info sets from real-global social media internet sites.The empirical study reveals the learing space of unsupervised feature selection is more powerful and can be extended to different without labeled data with additional information.
Authors and Affiliations
Durga S, Lokeshkumar R
Keywords
Related Articles
- EP ID EP22130
- DOI -
- Views 213
- Downloads 3
Review on an Algorithm for Three Stage Clos Interconnected Network
Clos Interconnection network is one of the known connection networks in processing systems and distributed systems, which is used extensively in many fields such as Telecommunication networks, ATM switches and Data tra...
To Study Traffic Parameters on National Highway
This paper is an attempt to study the basic problem of estimating traffic volume at road, but only a few hours and few days (peak period) of survey instead of hole year of survey. For all aspects of planning and designi...
An Algorithm for Association Rules Mining using Apriori based on Genetic Algorithm
Presently Apriori algorithm plays an essential role in deriving frequent itemsets and then extracting association rules out of it. It is one of the classical algorithms for finding association rules, and is widely used...
Augmented Reality for Data Booth
Nowadays people widely use internet for purchasing a home, car, furniture etc. In order to obtain information about that product user prefer pamphlets or leaflets or obtain the information by means of Salesperson. Thoug...
Detection of Diabetic Retinopathy using Wavelet Transform and SVM Classifier
The process and knowledge of image processing is applied to diagnose diabetic retinopathy from images of retina.The proposed work uses wavelet transform to decompose the given image. Colour and texture features are been...