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MAHARSHI DAYANAD SARSWATI
UNIVERSITY,AJMER,RAJ.
Name: Astha Parihar
Class: M.Tech Semester 2
Subject: Machine Learning
Case Based Reasoning
CASE BASE
• A case base is set of cases.
• Case base is usually just flat files or relational database.
INTODUCTION
• Case-based reasoning (CBR) is an experience-based approach to
solving new problems by adapting previously successful solutions to
similar problems.
• Addressing memory, learning, planning and problem solving, CBR
provides a foundation for a new technology of intelligent computer
systems that can solve problems and adapt to new situations.
• Case-based reasoning can be used for classification and regression.
CBR Life Cycle
1.Retrieve: Determine most similar cases.
2.Reuse: Solve the new problem reusing information and
knowledge in the retrieved case.
3.Revise:Evaluating the use of the solution in the new context.
4.Retain:Storing this new problem-solving method in the
memory system.
Example
• imagine a decision with two factors that influence it
• should you grant a person a loan?
 ❶ net monthly income
 ❷ monthly loan repayment
Fig. 1 Fig. 2
Old Cases
New Cases
Fig.3
Fig.4
Fig.5
ADVANTAGES
• Solution are quickly proposed.
• Domain need not to be completely understood.
DISADVANTAGES
• Old cases may be poor.
• Library may be biased.
• Most appropriate case may not be retrieved.
Thank You

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