Name
Abstract | ||
|---|---|---|
The time spent by users are almost two or more hours looking for papers that generates the possibility to make a search engine to optimize and precision in the results. This works purposes a better classification of research papers, the architecture works with a database of knowledge related with the topics of programming, databases and operating systems. That's the initial work of a classification using text mining techniques to search into the documents with natural language contained and get the best words of their content to get a database knowledge, that's the first step to get the desired knowledge also the proposed work use the same engine to make searches classifying the information introduced by the final user and searching in the correct cluster |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/CONIELECOMP.2013.6525763 | CONIELECOMP |
Keywords | Field | DocType |
data mining,information retrieval,natural language processing,search engines,text analysis,cluster searching,knowledge database,natural language,operating systems,programming,research paper classification,research paper searching,search engine,text mining,text mining techniques,clusterk-means,dabase,knowledge,pattern,text mining | Concept mining,Data stream mining,Question answering,Information retrieval,Computer science,Full text search,Search engine indexing,Natural language,Cluster analysis,Concept search | Conference |
ISSN | Citations | PageRank |
2474-9036 | 1 | 0.37 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| E. Alan Calvillo | 1 | 1 | 0.37 |
| Alejandro Padilla | 2 | 8 | 1.60 |
| Jaime Muñoz-Arteaga | 3 | 54 | 20.09 |
| Julio Ponce | 4 | 3 | 0.84 |
| Jesualdo Tomás Fernández-breis | 5 | 588 | 56.98 |