Download Metody zpracování informací - Knowledge Engineering Group

SEWEBAR - a Framework for
Creating and Dissemination of
Analytical Reports from Data Mining
Jan Rauch, Milan Šimůnek
University of Economics, Prague, Czech Republic
SEWEBAR - a Framework for Creating and
Dissemination of Analytical Reports from Data Mining
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Starting points
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Principles (as seen now)
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Simple examples
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First steps
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SEWEBAR – Starting points (1)
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Several similar mining problems a la STULONG: ADAMEK, TINITUS
HEPATITIS, SOCIOLOGY, …:
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Cca. 100 - 300 attributes
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thousands of objects (usually patients)
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domain expert (non informatics) available
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some (this time relatively simple) background knowledge available
Reasonable result form is a well structured analytical report that must be
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created
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stored
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retrieved
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disseminated
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used to answer more complex analytical questions
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SEWEBAR – Starting points (2)
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Some results concerning partial related projects
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Report assistant (it works)
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AR2NL (successful experiment)
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EverMiner (considerations)
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SEWEBAR (considerations)
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observational calculi
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Grants: LISp, Czech Science Foundation (GAČR), Kontakt, CBI, ??
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Students can contribute (4IZ460, 4IZ210, ? )
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Dealing with knowledge and semantics „is in“ (see e.g. „10 Challenging
problems in Data Mining Research“ - http://www.cs.uvm.edu/~icdm/)
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SEWEBAR – inspiration by Semantic Web
(SEmantic WEB and Analytical Reports)
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SEWEBAR – Principles (1)
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There is a structured set of (types of) patterns of local analytical questions
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What strong relations (*, *, …) are valid in given data?
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What strong known relations are not valid in given data?
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What exceptions from … are valid in given data?
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….
There are various items of background knowledge in easy understandable form
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Bier consumption  BMI
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Mother hypertension + Hypertension
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, - , ….
Application of the pattern of analytical question to a given item of background
knowledge and to a given data matrix leads to a concrete analytical question.
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SEWEBAR – Principles (2)
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To each local analytical question there is type of local analytical report
answering the question
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The concrete local analytical question can be answered by the GUHA
procedures implemented in the LISP-Miner system
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The corresponding analytical report can be automatically created
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There is a similar structured set of patterns of global analytical questions
(concerning several similar data matrices) that can be automatically
answered on the basis of the local analytical reports
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SEWEBAR – Principles
From local analytical question to analytical report
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SEWEBAR – simple examples
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Pattern of analytical question – mutual influence of attributes
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Pattern of analytical question – groups of attributes
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Answering „analytical question – groups of attributes“ by 4ft-Miner
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Analytical report
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SEWEBAR - a Framework for Creating and
Dissemination of Analytical Reports from Data Mining

Starting points

Principles (as understood now)

Simple examples

First steps
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SEWEBAR – Principles for first steps
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To implement soon first version (simplified if necessary) of support for the whole
process dealing with local and global analytical reports. The whole process
covers:
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Formulation of reasonable local analytical questions using background knowledge
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Creation of analytical reports answering particular analytical questions
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Formulating and answering reasonable global analytical questions
Use the first version to
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Gradually improve and enhance particular parts
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Develop corresponding theory using observational calculi
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Control panel – tool for first steps
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SEWEBAR – First steps (1)
Background knowledge and local analytical questions:
1.
We start with ADAMEK and STULONG data sets
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Background knowledge – we use current version of Knowledge Base
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To define first version of the set of LAQ - Local Analytical Questions
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To implement LAQPA - Local Analytical Question Patterns Administrator
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To implement LAQA - Local Analytical Questions Administrator
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SEWEBAR – First steps (3)
Local analytical reports:
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Enhancement of 4ft-Miner by filtering out of uninteresting rules
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EverMiner modules
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To define skelets of analytical reports
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Generator of analytical reports
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SEWEBAR – First steps (4)
Global analytical reports - implemented using ?Topic Maps Content
management system?
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To define rules for indexing analytical reports by Topic Maps
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To implement tool for automated indexing analytical reports for Topic Maps
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To define first version of a set of global analytical questions
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To implement tool for automated answering global analytical reports
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??IGA grant??
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Thank you for your attention
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Thank you for your attention
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