[Solomonov Seminar] 176. Solomonov seminar

[Marko Grobelnik]

Vabim vas na 176. Solomonov seminar, ki bo v torek 23. januarja,
ob 13:00 uri v Oranzni predavalnici IJS (sejna soba E8).

Predavala bo Annalisa Appice iz univerze v Bariju
o analizi prostorskih podatkov.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Annalisa Appice, Università degli Studi di Bari
Spatial Data Mining Query Languange in a GIS System

The strength of GIS is in providing a rich data
infrastructure for combining disparate data in
meaningful ways by using a spatial arrangement (e.g.,
proximity). As a toolbox, a GIS allows planners to
perform spatial analysis using geo-processing
functions such as map overlay, connectivity
measurements or thematic map coloring. Although, this
makes effective the geographic visualization of
individual variables, complex multi-variate
dependencies are easily overlooked. The required step
to take GIS beyond a tool for automating cartography
is to incorporate the ability of analyzing and
condensing a large number of geo-referenced variables
into a single forecast or score. This is where data
mining promises great potential benefits and the
reason why there is such a hand-in-glove fit between
GIS and data mining. INGENS (INductive GEographic
iNformation System) is a prototype GIS which
integrates data mining tools to assist users in their
task of topographic map interpretation. The spatial
data mining process is aimed at a user who controls
the parameters of the process by means of a query
written in a mining query language. In this talk, I
present SDMQL (Spatial Data Mining Query Language), a
spatial data mining query language used in INGENS.
Currently, SDMQL supports two data mining tasks:
inducing classification rules and discovering
association rules. For both tasks the language permits
the specification of the task-relevant data, the kind
of knowledge to be mined, the background knowledge and
the hierarchies, the interestingness measures and the
visualization for discovered patterns. Some
constraints on the query language are identified by
the particular mining task. I describe the syntax of
the query language and finally I briefly illustrate
the application to a real repository of maps.