The Journal of Symbolic Data Analysis
(JSDA) aims at collecting
studies on knowledge extraction and exploratory analysis of
complex and structured data, usually stored in databases,
or given by experts, in a homogeneous framework.
JSDA encourages papers
about methodological contributes on SDA, like: extracting
symbolic data from Data Bases, visualisation, factorial representation,
dissimilarity measures, generalised elementary descriptive
statistics on symbolic data, clustering, classification and
discrimination of symbolic data, regression, and so on.
JSDA is also oriented
towards promoting papers dealing with topics related to SDA,
like: knowledge discovery from databases, statistical contributions
in artificial intelligence, management of high dimensional
data, multivariate analysis of (semi-)structured data and
meta-data, imprecise data, conceptual classification, conceptual
lattices, symbolic aggregation.
JSDA aims at representing
a landmark for all those who are interested in SDA and its
applications. Its electronic and free distribution allow the
largest and easiest diffusion.
JSDA will encourage
applications of SDA techniques in various fields, ranging
from survey marketing to total quality control, official statistics,
biology, sociology, finance, archaeology, or any other. Papers
can also be integrated and accomplished with demos, slides
JSDA consists of two
issues per year and it is freely distributed on the Internet
by the SUN (Seconda UniversitÓ di Napoli).
JSDA is constituted
by the following sections:
- Refereed papers
- Software developments
- Archive of PhD theses
- Discussion Area
- SODAS/ASSO News
- Special Notes