ACADSTAFF UGM
| Title | : | A Survey of Hierarchical Classification Algorithms with Big-Bang Approach |
| Author | : |
SOFI DEFIYANTI (1) Drs. Edi Winarko, M.Sc.,Ph.D. (2) Dr. Sigit Priyanta, S.Si., M.Kom. (3) |
| Date | : | 0 2019 |
| Keyword | : | algorithm, big bang, hierarchical classification algorithm, big bang, hierarchical classification |
| Abstract | : | Hierarchical classification is a technique used to solve problems with hierarchical concepts, which are usually arranged into trees or directed acyclic graphs (DAGs). Research in this field is mostly done in the field of bioinformatics and text classification, because both fields have hierarchical problems. Completion of hierarchy classification can be done with a local approach and a big-bang approach. From several previous studies, it was found that hierarchical classification with the big bang approach got good results, both in terms of predictive accuracy, model size and time needed to build the model. In this paper, we survey previous research on hierarchical classification algorithms using bing-bang approach. |
| Group of Knowledge | : | |
| Level | : | Internasional |
| Status | : |
Published
|
| No | Title | Action |
|---|---|---|
| 1 |
2019-A survey of hierarchical classification algorithms with big-bang approach-turnitin.pdf
Document Type : Cek Similarity
|
View |
| 2 |
front matter.pdf
Document Type : Seminar Sampul Prosiding
|
View |
| 3 |
ICST_2019_Table_of_Contents.pdf
Document Type : Daftar Isi
|
View |
| 4 |
2019-ICST-survey of hierarchical classfication alg with big-bang approach-DWP.pdf
Document Type : Artikel dan Sertifikat/Bukti Kehadiran/Pasport (jika tidak ada sertifikat)
|
View |