Name
Title | ||
|---|---|---|
Significance of machine learning algorithms in professional blogger's classification. |
Abstract | ||
|---|---|---|
•Blogger's data is categorized into professional and seasonal bloggers using machine learning algorithms.•Decision tree algorithms, lazy learning methods and ensembling techniques are applied to standard datasets to analyze and compare the data classification algorithms on nominal data.•Random Forest and Nearest-neighbor classifiers achieved high accuracy for data classification.•Importance of decision tree rules for factor identification behind the professionalism of bloggers is elaborated. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.compeleceng.2017.08.001 | Computers & Electrical Engineering |
Keywords | Field | DocType |
Machine learning,Blogging,Decision tree algorithm,Lazy learning algorithm,Ensembling techniques,Classification | Data science,Decision tree,Computer science,Lazy learning,Outreach,Algorithm,Proof of concept,Artificial intelligence,Classifier (linguistics),Decision tree learning,Machine learning,The Internet | Journal |
Volume | ISSN | Citations |
65 | 0045-7906 | 1 |
PageRank | References | Authors |
0.37 | 14 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yousra Asim | 1 | 6 | 2.16 |
| Ahmad R. Shahid | 2 | 4 | 4.22 |
| Ahmad Kamran Malik | 3 | 21 | 7.42 |
| Basit Raza | 4 | 43 | 10.67 |