Jurnal SINTA 2
DOCUMENT CLUSTERING BY DYNAMIC HIERARCHICAL ALGORITHM BASED ON FUZZY SET TYPE-II FROM FREQUENT ITEMSET
Jurnal Ilmu Komputer dan Informasi (JIKI) · Vol. 9 No. 2 (2016) · pp. 88–95
- ISSN
- 2502-9274, 2088-7051
- Published
- 2016-06-25
- Publisher
- Faculty of Computer Science - Universitas Indonesia
- Language
- eng
Abstract
One of ways to facilitate process of information retrieval is by performing clustering toward collection of the existing documents. The existing text documents are often unstructured. The forms are varied and their groupings are ambiguous. This cases cause difficulty on information retrieval process. Moreover, every second new documents emerge and need to be clustered. Generally, static document clustering method performs clustering of document after whole documents are collected. However, performing re-clustering toward whole documents when new document arrives causes inefficient clustering process. In this paper, we proposed a new method for document clustering with dynamic hierarchy algorithm based on fuzzy set type - II from frequent itemset. To achieve the goals, there are three main phases, namely: determination of key-term, the extraction of candidates clusters and cluster hierarchical construction. Based on the experiment, it resulted the value of F-measure 0.40 for Newsgroup, 0.62 for Classic and 0.38 for Reuters. Meanwhile, time of computation when addition of new document is lower than to the previous static method. The result shows that this method is suitable to produce solution of clustering with hierarchy in dynamical environment effectively and efficiently. This method also gives accurate clustering result.
Keywords
Collaboration network of the authors
24 authors · 70 co-authorship links · 9 across different organisations
Hover or tap a name to highlight its co-authors. Double-click to open the author's page.
- Institut Teknologi Sepuluh Nopember
- State University of Makassar
- Institut Teknologi dan Sains Mandala
- Affiliation unknown
- Different organisations
- Same organisation
- Affiliation unknown
- Thicker line = more joint articles · bigger circle = more articles
Show as table
| Co-author | Organisation | Joint articles |
|---|---|---|
| Dyah Darma Andayani | State University of Makassar | 2 |
| Agus Zainal Arifin | Institut Teknologi Sepuluh Nopember | 2 |
| Saprina Mamase | Institut Teknologi Sepuluh Nopember | 2 |
| Ahmad Mustofa Hadi | Institut Teknologi Sepuluh Nopember | 2 |
| Anny Yuniarti | Institut Teknologi Sepuluh Nopember | 2 |
| Darlis Herumurti | Institut Teknologi Sepuluh Nopember | 1 |
| Wijayanti Nurul Khotimah | Institut Teknologi Sepuluh Nopember | 1 |
| Rezki Nurul Jariah S. Intam | State University of Makassar | 1 |
| Ahmad Raihan | State University of Makassar | 1 |
| Muh Alfajri | State University of Makassar | 1 |
| Asnidar | Affiliation unknown | 1 |
| Wulandari | State University of Makassar | 1 |
| Sasmita | State University of Makassar | 1 |
| Musda Rida Mulia | State University of Makassar | 1 |
| Andi Sadri Agung | State University of Makassar | 1 |
| Abdul Wahid | Institut Teknologi dan Sains Mandala | 1 |
| Sardar Faroq Ahmad Khan | Affiliation unknown | 1 |
| Fitria Nur Dina Salam | Affiliation unknown | 1 |
| Magfirah Aulia | Affiliation unknown | 1 |
| Rezki Nurul Jariah S.Intam | Affiliation unknown | 1 |
Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.