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Unit-I
Introduction
Evolution of DSS – Definition of DSS – Need and Benefits of DSS. Decision Making Process – Types of Decisions, A Framework for DSS Support – DSS as Information System – Types of DSS – Individual, Group.
Unit-II
Development and implementation of DSS and models in DSS
DSS Architecture – Hardware, Software Tools for DSS – Approaches to Development – Implementation, Models in DSS – Types of Models.
Unit-III
Group DSS and Groupware
Group Decision Making – Problems with Groups – MDM Support Technologies – Distributed Group
DSS – Distributed DSS Technologies – Executive Information Systems – Definition – EIS Components – Making the EIS Work – The Future of Executive Decision Making and the EIS.
Unit-IV
Artificial Intelligence (AI) and Expert System (ES)
Definition of Artificial Intelligence – Artificial Intelligence VS. Natural Intelligence – The Intelligence of AI
– Expert Systems – Definition, Structure of ES – Designing and Building ES – Benefits of ES – Examples of ES – Intelligent Software Agents.
Unit-V
Data Ware Housing and Data Mining
Data Ware House – Definition – Data Marts, Data Stores, Meta Data – Characteristics of Data Ware
House – Data Warehouse Architecture – Implementing Data Warehouse. Data Mining – Definition –Online Transaction Processing Techniques Use to Mine Data, Data Mining Techniques – Limitations of Data Mining – Data Visualization.
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CategoriesManagement
Format PDF
TypeeBook