BLOGGER
Donated on 7/5/2013
In this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer Ahmad Province in Iran
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
-
# Instances
100
# Features
-
Dataset Information
Additional Information
In this paper, we look for to recognize the causes of users tend to cyber space in Kohkiloye and Boyer Ahmad Province in Iran. Collecting information to form database is done by questionnaire. This questionnaire is provided as oral, written and also programming of a website which includes an internet questionnaire and the users can answer the questions as they wish. They entered their used websites, blogs and social networks during the day. After collecting questionnaires, the wed addresses are gathered to get expected results. And finally, their trustfulness is checked by analyzing their used web pages. As the results were same, for getting better and noiseless response, they will put in database
Has Missing Values?
No
Variables Table
Variable Name | Role | Type | Description | Units | Missing Values |
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no | |||||
no | |||||
no | |||||
no | |||||
no | |||||
no |
0 to 6 of 6
Additional Variable Information
We considered the following parameters as questions: age, education, political attitudes, blog topic, and the type of the identity in internet, the influence of managers’ inefficiency on tendency, the effect of inefficient media on tendency, the effects of social and political conditions on tendency and finally the effect of poverty in the province on tendency. The noisy or too detailed data in database makes us far from to get proper and suitable answers of algorithms [8]. We preprocessed the data and eliminated some non-relevant data. Finally the followings are considered as the main fields which include: education, political caprice, topics, local media turnover (LMT) and local, political and social space (LPSS). The collected data are shown in Table 1. In order to get correct answer, we classify bloggers to two groups: professional bloggers and seasonal (temporary) bloggers. Professional bloggers are those who adopt blog as an effective digital media and interested in digital writing in continuous time intervals. Seasonal (temporary) bloggers aren’t professional and follow blogging in discrete time periods. In this study, we review the tendency factors considering whether these people are among professional bloggers (Pro Bloggers, PB) and then, consider the other factors according to it.
Dataset Files
File | Size |
---|---|
kohkiloyeh.xlsx | 11.8 KB |
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset blogger = fetch_ucirepo(id=255) # data (as pandas dataframes) X = blogger.data.features y = blogger.data.targets # metadata print(blogger.metadata) # variable information print(blogger.variables)
BLOGGER [Dataset]. (2012). UCI Machine Learning Repository. https://doi.org/10.24432/C5HK6P.
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.