Data Mining Report: NORA Data Mining Process Analysis and Improvement

This report provides a comprehensive analysis of data mining processes within the context of NORA (Non-Obvious Relationship Awareness). It begins with an introduction to the project's objectives, which include defining the implications of activities and utilizing functional alignment methods to improve data modification and development. The report presents As-Is and To-Be process diagrams, illustrating the current and proposed data mining workflows, respectively. The To-Be diagram incorporates enhancements such as PPDP (Privacy Preserving Data Publishing), concentric data transformation, and other systems to improve data collection, mining efficiency, and security. A detailed cost analysis compares the As-Is and To-Be models, considering factors like process time and associated costs. The report concludes by summarizing the findings, emphasizing the benefits of data mining for improved operations and the successful application of the proposed changes.

Running head: DATA MINING REPORT
Data Mining Report
Name of the Student:
Student ID:
Name of the University:

1DATA MINING REPORT
Introduction
The project is developed for defining the implication of the activities and utilizing the
functional alignment methods. The implication would be effective for using the professional and
development models. The data mining is helpful for developing the integral part of modification
and alignment of useful implication. The report would allow the analysis of the case study and
develop an understanding of the current process existing in NORA. The Non-Obvious
Relationship Awareness (NORA) has been implied for easing the utilization of the functional
development and processes. The following assignment would involve the analysis of the As-Is
and To-Be diagram for using the implication. The To-Be process would allow the improvement
of the existing facilities and form a better process with minimum cost and improved efficiency.
Background
The data mining technologies has been implied for easing the data modification and
alignment of the functional development process. The exiting process of NORA would be
deployed for easing the functions of data mining and developing. The collection of data and
mining it at the organizational centre would involve the utilization of the cost estimation and
development of successive activities supporting the innovative development. The information
processing and successful implication would be helpful for improving the operations and support
effective development. The data collection and mining can allow the NORA for improved
operations and aligning significant analysis model.
Assumptions

2DATA MINING REPORT
The development of the As-Is process diagram and To-Be process diagram is developed
using the existing functions and implying the use of the functional management. The existing
functions of the data mining would be helpful for utilization and operations and aligning the
implication of the improved functional development.

2DATA MINING REPORT
As-Is Process Diagram
The following is the As-Is diagram for the data mining of NORA,
Figure 1: As Is Diagram
(Created by the author)

3DATA MINING REPORT
As seen in the diagram, the data mining operations would involve the use of the operative
and inform implication of the activities aligning the utilization of the improved technology. The
complete process of data mining would be divided into data generation, business understanding,
data preparation, modelling, evaluation, and report and decision making. The completion of the
complete data mining would be resulted by the use of the innovative technology and tools.

4DATA MINING REPORT
To-Be Process Diagram
The following is the to-be diagram for the data mining of the NORA that can be used with the implication of the improved functions and operations,
Figure 1: As Is Diagram
(Created by the author)

5DATA MINING REPORT
The new and innovative technology would be helpful for achieving the operations in data
collection and data mining. The data collection is divided into the phases of data generation,
business understanding, data preparation using PPDP, and data publishing. The implication
would be implied for easing the utilization of the functions and implying the use of the
successive implication management. The data generation would allow the utilization of the
functional analysis. It would be implied for developing the improvement management. The
innovation of the activities would be implied for easing the functional and development of
activities. The classification of the data would be implied for listing the cohesive development
management.
Improvement of Process: The inclusion of the processes of data mining and collecting
using PPDP, data privacy preserving policy, concentric data transformation system, perturbation
system, decision maker, legal measure, validating system, and provenance system. The
alignment would allow the utilization of the processes and formation of successive management.
The development of the improved activities of notation scaling, data checker, and geometric data
transformation has been implied for easing the implication management.
Addition: The system of PPDP, concentric data transformation system, perturbation
system, validating system, and provenance system are the major factors for the improvement of
the operations for NORA. The involvement of the operations for faster data collection and
mining along with security functions.
Removal: The existing manual processes of NORA would be removed. Data Collector,
Provider, Miner, and Decision Maker are involved personals in the improved functions.

6DATA MINING REPORT
Cost Analysis
The cost analysis for the project would be developed considering the utilization and development of the activities for aligning the cost estimation of the project continuation. The
utilization of the processes would be collectively deployed for easing the simplicity and operation. The cost analysis for the As-Is and To-Be model would be deployed by considering the
information processing costing as in digital marketing and e-commerce platform (Chaffey 2015). The standards and rates of the cost analysis would be implied for easing the successful
integration and development. The following table would show the cost estimation for both As-Is and To-Be model of the system,
Task Data
generation
Business
Understanding
Data
Preparation
Process
Apply
PPDP
Data
Publishing
Data
Preparation
Data
Privacy
Preserving
Process
Modelling Report Legal
Measure
Get
Report
Evaluation/Validating
the Results
Report and
Decision
Making
Total
Document
Type
As-Is
model Manual Manual - Manual Manual - Manual Manual - - - Manual
To-Be
Model Automatic Automatic Automatic Automatic Automatic Automatic Automati
c Automatic Automatic Automatic Automatic Automatic
Process
Time
(Elapsed)
As-Is
model 40 20 0 25 60 0 30 20 0 0 0 35 230
To-Be
Model 25 15 20 20 20 30 22 17 14 15 16 16 230
Process
Time
(Working)
As-Is
model 210 50 0 110 360 0 210 110 0 0 0 250 1300
To-Be
Model 110 30 60 60 60 110 70 30 20 40 50 70 710
Rate
As-Is
model $15.00 $10.00 $0.00 $20.00 $15.00 $0.00 $15.00 $20.00 $0.00 $0.00 $0.00 $25.00 $120.00
To-Be
Model $10.00 $15.00 $10.00 $20.00 $10.00 $15.00 $10.00 $20.00 $10.00 $15.00 $10.00 $20.00 $165.00
Cost
As-Is
model $3,750.00 $700.00 $0.00 $2,700.00 $6,300.00 $0.00 $3,600.00 $2,600.00 $0.00 $0.00 $0.00 $7,125.00 $26,775.00
To-Be
Model $1,350.00 $675.00 $800.00 $1,600.00 $800.00 $2,100.00 $920.00 $940.00 $340.00 $825.00 $660.00 $1,720.00 $12,730.00

7DATA MINING REPORT
Conclusion
The project was developed for defining the implication of the activities and utilizing the
functional alignment methods. The implication had been effective for using the professional and
development models. The data mining was helpful for developing the integral part of
modification and alignment of useful implication. The improved and successful implication had
result in listing the probability of new information development. The Non-Obvious Relationship
Awareness (NORA) had been implied for easing the utilization of the functional development
and processes. The data mining technologies had been implied for easing the data modification
and alignment of the functional development process. The data mining had been aligned for
effective implication of the useful functions and utilization.

8DATA MINING REPORT
Bibliography
Aldeen, Y., Salleh, M., and Razzaque, M., 2015, “A comprehensive review on privacy
preserving data mining”, SpringerPlus, 4(1), p.694
https://docs.microsoft.com/en-us/sql/relational-databases/security/encryption/develop-
using-always-encrypted-with-net-framework-data-provider
Chaffey, D., 2015 Digital Business and E-Commerce Management: Strategy, Implementation
and Practice 6th Ed. Pearson Harlow U.K.
Cormode, G., Procopiuc, C, Srivastava, D., Shen, E., Yu, T., 2013, "Empirical privacy and
empirical utility of anonymized data", IEEE 29th International Conference on Data
Engineering Workshops (ICDEW), pp. 77-82.
Magdy, W., Darwish, K., and Weber, I. (2015), “# FailedRevolutions: Using Twitter to study the
antecedents of ISIS support”, arXiv preprint arXiv:1503.02401
Prasad, V., Ramdevputram A., 2015, "Identifying the Networks of Criminals Using Management
Information System", International Journal of Innovations & Advancement in Computer
Science,vol.4, Special Issues, pp. 144-148. Object Management Group, 2017, Business
Process Model and Notation. Available online at:http://www.bpmn.org/
Stein, S., Hamilton, B., Peterson, T., Guyer, C., 2016, Develop using Always Encrypted
with .NETFramework Data Provider. [Online] Available at:
Xu, L., Jiang, C., Wang, J., Yuan, J., and Ren, Y., 2014, “Information Security in Big Data:
Privacy and Data Mining”, IEEE Access, vol. 2, pp.1149-1176.