Paolo Buono - Tools page
The pages linked in this section are related to several tools developed by me, sometimes with the help of some students of mine. Pages are updated rarely so be patient if you see outdated information and e-mail me if you are interested in something you find here. I'll provide to update the web pages and/or provide you with requested information.
DaeClient retrieves the information about a user
and the analysis he may perform. For each combination of users and analysis,
DaeClient shows the available visualization tools. The user is then allowed to select more than one tool for the same
analysis, this will permit him/her to look at the data from different perspectives.
DaeVET shows the structure of a data source to perform
the data preparation in order to setup an analysis. The first action to
do before any analysis is the selection of interesting data from a data source.
Often this is a long and difficult task and it is iterated several times because during
the selection some important data for the analysis may be missed. The people that
needs information from data are aften different from the people that can provide
them (for instance, in a company the marketing division needs data to produce analysis reports
and the database administrators can provide them). Improving this task will result
in a reduced time to acquire data, hence, there is an improvement in the knowledge discovery process.
DaeVET has been made for an expert user.
DaeTL, inspired to the Table Lenses technique, provides users with an overview of the data they are analyzing.
A fisheye effect allow them to zoom into elements of interest without loosing the overview.
Automatic zooming to show the details while moving the mouse is one of the feature of the tool.
It is possible to zoom intervals instead of zooming on single rows.
This tool automatically finds the right way to visualize the different data type
without asking the user how to show them. Hence the user doesn’t need to configure the tool since the data are
automatically visualized depending on their type.
DaeQP is a tool inspired to the Query Preview technique and provides users with
rapid overviews of information about objects of the user domain in order to
perform appropriate data analysis along different attributes (dimensions).
The power of this visualization is that
permits to perform a direct comparison between several different variables.
The overview shows the data distribution along the selected attributes.
Then, the use dynamic queries and query previews supports efficient query formulation.
ARVis visualizes Association Rules (AR) using graphs and allows the user to interact with them.
ARVis presents the overview of the dataset, then permit the user to zoom, filter and provides the details on
the user demand. The main user for ARVis is the data miner, and the goal is to support the user in explorative data mining.
PCAR uses Parallel Coordinates to visualize Association Rules (AR) that shares the same consequent.
The dimensions of the graph are the items of the AR. Each rule crosses the axis according to the
utility provided by the corresponding item to the rule.
TimeSearcher 2 builds on previous work at the University of Maryland
that explored the use of Timeboxes to query time series data.
The tool allow a multivariate visualization of time series data sets and enable the user to explore them
by means of zooming, panning and search features.
dib3D is a project that offers a 3d visualization of the Dept. of Computer
Science of the University of Bari. The aim of this project is to provide an
alternative view of the curses web site of the department. The main services