Hierarchical classification of web content using Naïve Bayes approach
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 5
Abstract
This paper explores the use of hierarchical structure to classify a heterogeneous collection of web pages. In the hierarchical classification, a model learns to distinguish a second level category from all other categories that are within the same top level. In the flat non hierarchical classification, a model distinguishes a second level category from all existing second level categories. We use Naïve Bayes classifier which has been proved to be effective for web content classification, but has not been previously explored in the case of hierarchical classification. This paper analyses the feasibility of a web page classifier which exploits the hierarchical structure of categories and studies their recall, precision and Fmeasure scores.
Authors and Affiliations
Neetu
Keywords
Related Articles
- EP ID EP161758
- DOI -
- Views 132
- Downloads 0
Devanagari Isolated Character Recognition by using Statistical features ( Foreground Pixels Distribution, Zone Density and Background Directional Distribution feature and SVM Classifier)
In this paper, we present a methodology for off-line Isolated handwritten Devanagari character recognition. The proposed methodology relies on a three feature extraction techniques. The first technique is based on recurs...
ENERGY CONSERVATION IN CLOUD ENVIRONMENTS USING ALTERNATIVE EMAIL-ID APPROACH
(100%)Cloud computing is a new Model for deliver and accessing the services over the Internet. So cloud provider responsibility to verify the user or client is Authorized or not.For this purpose cloud provider shall prov...
Generating Customer Profiles for Retail Stores Using Clustering Techniques
The retail industry collects huge amounts of data on sales, customer buying history, goods transportation, consumption, and service. With increased availability and ease of use of modern computing technology and e-commer...
A Survey on Early Determination of Zero Quantized Coefficients in Video Coding
In video encoding, there are a large number of discrete cosine transform (DCT) coefficients of the prediction residue which are quantized to zeros. Therefore, it is desired to design a method which can early detect zero...
AN EFFICIENT TEXT CLASSIFICATION USING KNN AND NAIVE BAYESIAN
The main objective is to propose a text classification based on the features selection and preprocessing thereby reducing the dimensionality of the Feature vector and increase the classification accuracy. Text classifica...