Advanced Data Mining Assignment 2022

Running head: ADVANCED DATA MINING
Advanced-Data Mining
Name of the Student
Name of the University
Author Note

1
ADVANCED DATA MINING
Executive Summary
Nowadays, data is considered as a huge thing. There is a massive growth in the amount
of data every day. Be it in the platform of banking or be in case of the social media platforms, the
data is growing at a rapid rate at also at a considerable amount too. Let us consider the system of
banking worldwide. There are more than thirty thousand banks safeguarding money, and they
need to store huge data, and that is why data mining is required. Data mining is an act of
examining the large databases which are pre-existing for the generation of the new information.
The comparison of the data processing, feature selection, EDM and algorithm comparison is
made. It will also help in enabling the finance as well as the banking systems.

2
ADVANCED DATA MINING
Table of Contents
Introduction......................................................................................................................................3
Discussion........................................................................................................................................3
Related Work...............................................................................................................................3
Data processing............................................................................................................................4
EDM............................................................................................................................................5
Feature Selection.........................................................................................................................5
Data Mining Methodology..........................................................................................................6
Result...........................................................................................................................................8
Conclusion.......................................................................................................................................9
References......................................................................................................................................10

3
ADVANCED DATA MINING
Introduction
This report deals with the comparison of various data processing, feature
detection, EDM, as well as the algorithms. For different organizations like the banking sector,
the data mining techniques is in the process of becoming important strategically due to the
massive growth in the amount of data be it the industry of banking or be it the platform of social
media. Over a while, wide amendments have been faced by the banking sector. The importance
of the creation of a base of knowledge has also been realized by them (Akerkar 2013). For
maintaining the growing amount of data, data mining should be taken into consideration, and the
feature detection algorithms, data processing algorithms, as well as the EDM algorithms, is
analyzed.
Discussion
Related Work
For past few years, many researches have been done for classification and recognition
approaches. Usage of classification of the nearest neighbor was also considered. The input
images were entered into the network directly which resulted in the improvement of the
recognition rate and which is suitable for multiple identification. An efficient recognition is
proposed for the recognition with the usage of CNN which included feature extraction and had
rising values and adapted the method of Faster Region-based CNN or R-CNN. The deployment
became faster for the process of recognition.
The concepts of data mining are very important for all sectors like banking, which is also
becoming strategy-wise important day by day. It is also important for the various kinds of
organizations of business (Armbrust et al. 2015). The concept of data mining includes the