This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
||||||||
|
Paper Details
Paper Title
Review on A Graph Based Multi-level Clustering for Author Name Disambiguition
Authors
  Khushbu Panpaliya,  Prof. M. S. Burange,  Prof. P.D. Soni
Abstract
For any literature, the basic thing is to identify individual(s) who wrote it or to identify all the research work related to individual author. Attribution would seem to be simple process but yet it represents a major unsolved problem for data mining. Researchers use generally scholarly digital libraries for their relevant research work as digital libraries have ubiquitous availability of scholar articles and publications. When someone tries to access an article using author name result produced may not meet user’s expectation due to name ambiguity. Ambiguous names often lead to confusion and mistakes in identification of author’s research work. And this leads to author name disambiguation process. Another case in which author name ambiguity can be seen is the retrieving the papers of an author who have used distinct name variations in different articles. Furthermore, name disambiguation for web papers can be even more challengeable with increasing mentioning of ambiguous names.
Keywords- Disambiguation, Clustering, Multi-level Clustering, Supervised learning, Unsupervised learning
Publication Details
Unique Identification Number - IJEDR1704249Page Number(s) - 1562-1564Pubished in - Volume 5 | Issue 4 | December 2017DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  Khushbu Panpaliya,  Prof. M. S. Burange,  Prof. P.D. Soni,   "Review on A Graph Based Multi-level Clustering for Author Name Disambiguition", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.5, Issue 4, pp.1562-1564, December 2017, Available at :http://www.ijedr.org/papers/IJEDR1704249.pdf
Article Preview
|
|
||||||
|