title = "Incorporating Temporal Information for Document
Classification",
booktitle = "2007 IEEE 23rd International Conference on Data
Engineering Workshop",
year = "2007",
pages = "780--789",
address = "Istanbul, Turkey",
month = "17-20 " # apr,
publisher = "IEEE",
keywords = "genetic algorithms, genetic programming, Encoding,
Text categorization, Support vector machines, Support
vector machine classification, Kernel, Computer
science, Pattern analysis, Performance analysis, Text
analysis",
isbn13 = "978-1-4244-0831-3",
DOI = "doi:10.1109/ICDEW.2007.4401067",
abstract = "we propose a novel document classification system
where the Recurrent Linear Genetic Programming is
employed to classify documents that are represented in
encoded word sequences by Self Organising feature Maps.
The results using different feature selection
techniques on Reuters 21578 data set show that the
proposed system can analyse the temporal sequence
patterns of a document and achieve competitive
performance on classification.",