Exploring the Evolution of KDD: From Data Mining to AI Integration

Desklib provides solved assignments and past papers to help students succeed.

AUTHORS
Shaker H. El-Sappagh, Samir El-Masri,A. M. Riad,Muhammad Elmogy
Name
ID
outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
N w
KDD

outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
OUTLINE
INTRODUCTION
Data Mining And KDD
Steps for KDD
New Trends in KDD
Role of AI
Why we Need KDD?
Conclusion
References
KDD

outline
Introduc
tion
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
Introduct
ion
KDD

about
history
Steps for
KDD
Steps for
KDD
Steps for
KDD
Data mining’s information is known for many
names, round about of them are known as data
extraction and data processing. It also famed in
data fields.
Data-
Mining
KDDThis Word KDD in database after a workshop
at 1989 by Shapiro. It’s been used by Robotics
and AI
According to out studies in knowledge discovery
data base is a total process including
datamining
KDD

outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
STEPS FOR KDD
1) Recognize the aim of the
knowledge discovery database
process from the client’s viewpoint.
2) Targeted data set on which
detection is to be done, must be
chosen.
3) Recognize claim and the
information that's compulsory
4) Purifying and preprocess information by
determining plans to deal lost fields and change
the information according to necessities.
5) Shorten tat data sets by eliminating
undesirable data. Then, examine valuable factors
used to signify data, depending upon
assignment.
New Trends in
KDD

outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
6 Finding hidden patterns by
comparing KDD and
datamining
7 Discovering hidden
patterns by choosing data
mining algorithms. Process
comprises of determining
which models and
limitations might be
suitable for KDD
8 Searching for patterns of
interest, which include
organizing rule or tree,
regression and clustering
N w
KDD

outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
9
Understand
vital
information
from mined
patterns.
10
Use
knowledge
and combine
into additional
system for
more action.
11
Report it and
present report to
rivalries.
New Trends in
KDD
Intelligence

outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
9
Interpret
essential
knowledge
from the
mined
patterns.
10
Use the
knowledge
and
incorporate it
into another
system for
further action.
11
Document it and
make reports for
interested parties.
New Trends in
KDD
Role of Artificial
Intelligence
KDD Current
TrendsKDD future lies in
attaining integration and
distribution of the entire
process by using
additional
popular manufacturing
standards. One of the
other presently very vital
subject is to deliver
interoperability and
compatibility between
dissimilar software which
also concerns KDD
models .
A current aim is to permit users to convey out KDD possessing
free extensive background knowledge, without manual data
manipulation, and without manual procedures to exchange
data and knowledge between different DM methods. This
requires the ability to store and convey data and knowledge
that is stated as data models generated by the KDD process
and domain expert, and meta-data that describes data and
domain knowledge used in the process current goal is to
enable users to carry
out KDD projects without possessing
extensive background knowledge, without manual data
operation, and without physical procedures to convey data
and knowledge between different DM methods. This needs
the capability to stock and interchange data and most
significant information that is articulated is data produced by
the KDD and domain skilled and meta-data which defines data
and field knowledge.

outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
9
Interpret
essential
knowledge
from the
mined
patterns.
10
Use the
knowledge
and
incorporate it
into another
system for
further action.
11
Document it and
make reports for
interested parties.
Role of Artificial
Intelligence
Why Do We Need KDD ?
Conclusion
Artificial Neural
Networks
Genetic Algorithms Nearest Neighbor
methodology Rule Induction Rule
Induction
knowledge visual
image
Role of Artificial Intelligence

outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
9
Interpret
essential
knowledge
from the
mined
patterns.
10
Use the
knowledge
and
incorporate it
into another
system for
further action.
11
Document it and
make reports for
interested parties.
New Trends in
KDD
Role of Artificial
Intelligence
follow
Why Do We Need KDD ?
Conclusion
Why Do We Need KDD ?
Previous method of changing data into information depend on analysis and
manual clarification. Just like in the medical departments it is very easy for
specialists to occasionally examine present trends and variations in medical
data, on a periodical base. The authorities then deliver an account listing the
study to the supporting medical association; this information becomes the
source for upcoming choice making and preparation for medical departments.

outline
Introducti
on
Data
Mining
and KDD
Steps for
KDD
Steps for
KDD
Steps for
KDD
9
Interpret
essential
knowledge
from the
mined
patterns.
10
Use the
knowledge
and
incorporate it
into another
system for
further action.
11
Document it and
make reports for
interested parties.
New Trends in
KDD
Role of Artificial
Intelligence
Why Do We Need KDD ?
Conclusion
Data mining could be an information discovery
method of exploring and analyzing knowledge
from completely different perspective,
exploitation automatic or semiautomatic
techniques to extract information or helpful info
and find out correlations or substantive patterns
and rules from massive databases. Mistreatment
these patterns, it's attainable for business
enterprises to spot new and surprising trends,
refined relations within the knowledge and use
them to extend revenue and cut price. The
techniques and tools are utilized in varied
businesses, scientific and engineering
corporations.
Conclusion

References