Teaching:TUW - UE InfoVis WS 2005/06 - Gruppe G8 - Aufgabe 3: Difference between revisions
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==Area of Application== | ==Area of Application== | ||
This section describes the application area of | This section describes the application area of | ||
''' | '''MICE - Music Investigation and Clustering Environment'''. | ||
[Image:MICELogo.gif] | |||
===Analysis of Application Area=== | ===Analysis of Application Area=== | ||
====General Description==== | ====General Description==== | ||
Shopping analysis, Cluster / Pattern analysis, Web based area of application, all data analysed comes form online users, areas of application include shopping optimazation, web application development, technical optimization. The tool might also be interesting for pure online stores. | |||
====Special Issues==== | ====Special Issues==== | ||
We identified the following spots of interest: | We identified the following spots of interest: | ||
# The | # The user of MICE has different intentions than the person the data is about | ||
# The | # Basket Case Analysis and Cluster Analysis are heavily statistical techniques and quite intense in terms of required knowledge | ||
# The questions wanted to be solved will gain on complexity once they are answered (report chain) | |||
# The answering will not be a single "result" but a (iterative) process. | |||
# Heavy task to realize a graphical abstryact view on the data. | |||
# ... | # ... | ||
Revision as of 20:28, 12 November 2005
Topic
On-line Music Portals: Analyzing the Users' Activities
Area of Application
This section describes the application area of MICE - Music Investigation and Clustering Environment.
[Image:MICELogo.gif]
Analysis of Application Area
General Description
Shopping analysis, Cluster / Pattern analysis, Web based area of application, all data analysed comes form online users, areas of application include shopping optimazation, web application development, technical optimization. The tool might also be interesting for pure online stores.
Special Issues
We identified the following spots of interest:
- The user of MICE has different intentions than the person the data is about
- Basket Case Analysis and Cluster Analysis are heavily statistical techniques and quite intense in terms of required knowledge
- The questions wanted to be solved will gain on complexity once they are answered (report chain)
- The answering will not be a single "result" but a (iterative) process.
- Heavy task to realize a graphical abstryact view on the data.
- ...
Analysis of the Dataset
Description of the Datatypes
Description of the Datastructures
Target Group
Identifying the Target
The target for the exploration tool are mainly shopping analysts and web developer. It is the aim to suit the needs of persone who run the on-line portal (since they are interested in optimization). On the other hand one must not forget about the technical aspects, abd by that help the developers of such systems. After all this groups should pass on their
Special Issues of the Target Group
Intended Purpose
Goals and Objectives
Problems and Tasks to Solve
Example Questions
Proposed Design
Types of Visualization Applied
Visual Mapping
(Datadimension => Attribute)