In this problem, we are interested in relational data mining
(RDM):
1. Explain RDM
2. Give an application example of RDM and show the relationship
between all entities.
Please find the below answers:
1a)
Relational Data Mining (RDM) is the multi disciplinary fields
with knowledge discovery from relational databases consisting of
multiple tables or multiple relations.
To emphasize the contrast to typical data mining approaches that
look for patterns in a single relation of a database,the name
Multi-Relational Data Mining is often used as well.
Mining data which consists of complex objects also falls within the
scope of this field: the normalized representation of such objects
in a relational database requires multiple tables.
The field aims at integrating results from existing fields such as
inductive logic programming , data mining, machine learning and
relational databases; producing new techniques for mining
multi-relational data; and practical applications of such
techniques.
2a)
A relationship (denoted by the diamond) is used to document the
interaction between 2 entities.
In the example above, a patient has a primary doctor.
Each relationship has a cardinality or a restriction on the number
of entities.
This means implicitly define a role for each entity set in the
relationship.
For example, if a patient is supervised by a doctor, then the
patient has a supervisee role and a doctor has a supervisor
role.
Relationships may also have attributes.
The cardinality refers to the maximum number of times an
instance in one entity can relate to instances of another
entity.
There are 3 cardinalities that define the relationships between
entity sets.
1)One-To-One
2)One-To-Many
3)Many-To-Many
Example :-
One-To-One : Each visit corresponds with one bill.
One-To-Many : One doctor can have many patients as their primary
doctor.
Many-To-Many: Patients are allowed to pay multiple bills in one
payment, and each bill may have multiple payments associated with
it.
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