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 and software.

JSDA consists of two issues per year and it is freely distributed on the Internet by the SUN (Seconda Università di Napoli).

URL: http://www.jsda.unina2.it

JSDA is constituted by the following sections:

• Refereed papers
• Applications
• Software developments
• Archive of PhD theses
• Discussion Area
• SODAS/ASSO News
• Special Notes