likely to produce data sources, classification criteria of DM, and knowledge discovery are mentioned. …

data replication methods. The aim of data replication is to improve performance and to protect the availability of …

archaeolinguist explains how statistical methods found in old texts on quantitative archaeology helped to piece together the basic …

intelligence (AI) can play in facilitating product classification at scale and, more generally, in enhancing the categorization of …

the three classification methods proposed, in order to obtain the classification that best fits the original structure of …In this paper we propose a Pyramidal Classification Algorithm, which together with an appropriate aggregation index … algorithm makes it possible to carry out some simulation tests by Monte Carlo methods in order to study the efficiency and …

manner. CRAML produces document-level datasets for quantitative research and makes qualitative classification schemes … of proprietary data, and expert classification of any documents with any scheme. To demonstrate this process for building …

from social media platforms. A common task in rendering these data useful for analysis is classification of the text units … research data such as microblog postings and product reviews and compare them to other methods commonly encountered in the …

occupations defined in the occ1950 IPUMS classification, and test both classifications for consistency over time. …

well-known rule learning classification algorithms. …

very clear. This report gives a formal description of this modeling method using state-transition diagrams in order to … involved. Paradigm has been used succesfully as the modeling language of Socca, a software proces modeling method. …