The scope is to compare different two-mode clustering techniques on the management commentaries dataset. In the context of BLUE-ETS European project, we are testing algorithms on reports, financial statements and additional notes on a sample of Italian company which provides databases of balance sheets for the assessment of credit worthiness.
Clustering algorithms for extracting information from textual databases / Marino, Marina; Scepi, Germana; Cristina, Tortora. - (2012). (Intervento presentato al convegno SYMPOSIUM ON LEARNING AND DATA SCIENCE tenutosi a Firenze nel 7-9 maggio 2012).
Clustering algorithms for extracting information from textual databases
MARINO, MARINA;SCEPI, GERMANA;
2012
Abstract
The scope is to compare different two-mode clustering techniques on the management commentaries dataset. In the context of BLUE-ETS European project, we are testing algorithms on reports, financial statements and additional notes on a sample of Italian company which provides databases of balance sheets for the assessment of credit worthiness.File in questo prodotto:
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