Data Mining Techniques & the Decision-Making Process in the Bulgarian Public Adm

13 Pages·2003·0.11 MB·English

DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
NISPAcee Concerence
10-12 April 2003, Bucharest, Romania
Martin Gramatikov
Public Administration Department, University of Sofia
[email protected]
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Roadmap
Data Mining Concept
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Data Mining and Decision-Making
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Real-world Applications
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Constraints
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Opportunities
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Data Mining: Concept
Branch of applied mathematics, which allows us to sift through large
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amounts of structured or unstructured data in attempt to find hidden
patterns and/or rules.
A mean for discovery of contextual meaningful knowledge which
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increases the substantial or procedural knowledge of the targeted
processes
Rules, patterns, regularities and other trends hidden in the data
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Data Mining in Public Administration
Increase in processing power
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Development in the DM and KDD fields
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Proliferation of databases in the PA
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Demand for turning data into knowledge
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Public organizations as learning organizations
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Implementation of ICT makes it easier to record
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and store transactional and substantive
information
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Applications of Data Mining in Public
Administration
policy making
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policy implementation
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policy evaluation
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targeting of specific groups
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customer-centric public services
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improved efficiency of PA
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Employment of Data Mining in PA
law enforcement
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public health
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social security
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urban planning
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education
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public procurement
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Data Mining and Decision-making theory
Bounded rationality
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lack of comprehensive information
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information uncertainty
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limits on human cognitive and processing capabilities
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DM provides for alleviation of the environmental
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uncertainty
DM confirms the bounded rationality model - the
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principle of parsimony
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Satysficing and parsimony
5-10% of collected data in commercial
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organizations is being analyzed
methods for data reduction
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forward entry
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backward removal entry
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forward stepwise method
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backward stepwise method
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Data Mining in the Bulgarian PA
is knowledge discovery possible in highly
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irrational environment
historical development
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limited application - lack of data collection
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procedures, technical and human capacity
undermined
black-box culture in the Bulgarian PA
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DATA MINING TECHNIQUES AND THE
DECISION-MAKING PROCESS IN THE
BULGARIAN PUBLIC ADMINISTRATION
Implementation of Data Mining: the case of
profiling
Customs Administration
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Hazard Administration
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mining historical data to create classification,
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characteristics and association rules for “high-risk
profiles”
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