Staff Portal
Murtada Mohammed Hamad (Professor)

PhD in Exploration and Data Warehouse
Lecturer
Computer Science - Computer Sciences and IT
dr.mortadha61@uoanbar.edu.iq


Biography

Personal Information:

- Name : Murtadha Muhammad Hamad AI-Heeti.

- Place and Date of Birth :  Hadeetha -1961 .

- Sex : Male.

-Marital status : Married .

-Home Address : Iraq - Anbar -Ramadi - 5 Kilos quarter .

-Work Address : University of Anbar -College of Computer .

Areas of interest: - The field of data warehouse and data mining.

-Scientific Title : Professor .

-E-Mail: dr.mortadha61@gmail. Com       

Qualifications:

- B.Sc. in computers - College of Science - University of Mosul -1982 - 1983.

-High Diploma in educational Computer-Institute of training and research for computer and electronic systems - 1988

-M.Sc. in computer sciences - University of Baghdad – 1991.

-PhD in computer sciences - University of technology - Institute of informatics for higher studies -2004.   

Publication

1. "Design and Implementation of educational package for a Pascal Language Learning". Proceedings of the fifth Scientific Research Conference of the Council of Scientific Research.  7-11 October 1889., Baghdad, Iraq.

2. "A technique for two dimensional pattern matching", Journal of the Science of Al-Basrah, Vol. 11, No.2, 1991, Al-Basrh University, Iraq.

3. "A technique to recognize erroneous or missing patterns. Computer Magazine", No.26,1996, National Computer Center.

4. "Study into the work of the robotic arm using the AutoCAD", Al-Anbar Journal, No.2, 1999. Al-  Anbar University.

5. "Data Cleansing technique in Data warehouse", Jornal of Al- Rafidain University College for sciences, No. 13, 2003.

6. "A analytical study for Data warehouse topologies", Conference of National Computer Center, February 2003, National Computer Center, Baghdad, Iraq.

7. "Data mining and statistical methods for scanning categorical data", Journal of Al-Anbar University for Pure science, Vol.1, No. 2, 2007.

8. "Bitmap Index: A Data Structure for Fast File Retrieval", Journal of Al-Anbar University for Pure science, Vol. 2, No.1, 2008.

9. "Efficiency of some Classification methods adopted in Clinical reminder systems in cases of Mixed data", Journal of Al-Anbar University for Pure science, Vol. 2, No. 1, 2008.

10. "OLAP" Techniques for Approximation and Mining Query Answering", Al-Rafiden Journal of Computer Sciences Mosul University, Vol 7, No, 2, 2010.

11. "Design and Implementation of E-University using DW concepts", Journal of Al-Anbar University for Pure science, Vol. 3, 1, 2010.

12. "Implementation of Distributed Data Warehouse Based on Hierarchy Properties", The International Arab conference on Information technology(ACIT), December,2010, Benghazi, Libya. 

13." Data Cube Compression Technique in Data Warehouse System", The International Arab conference on Information technology(ACIT), December,2010, Benghazi, Libya.

14." Quality Assurance Evaluation Software Using Mathematical Models", International Journal of Advances in Engineering & Technology (IJAET),. Vol. 1, Issue 5, pp. 236-247, Nov 2011.

15. "The Role of the Analytical Method of the Data in the Development of Institutional Work", The third Conference of the Computer Science & Mathematics, university of Al-Qadisiya, 19-20 April 2011.

16. " Quality Assurance Evaluation for Higher Education Institution using Statistical Models", International Journal of Database Management Systems (IJDMS), Vol.3, No.3, August 2011.011, Volume 3, Number 3 t2011, Volume 3, Number 3 2011, Volume 3, Number 3, August 2011, Volume 3, Number 3

17."AN Enhanced technique to Clean Data in the Data Warehouse", DeSe ,4th International Conference Developments in systems Engineering, DUBAI,2011.

18. "Performance Testing Technique for Applied Programs", CCIT' 2012, 2nd Conference on Computer and Information Technology, organized by the College of computer – University of Anbar, with the sponsorship of the IEEE Section of Iraq, 4-5 April ,2012, Ramadi, Iraq.

19." The Role of Metadata for Effective Data Warehouse", 2nd Conference on Computer and Information Technology, organized by the College of computer – University of Anbar, with the sponsorship of the IEEE Section of Iraq, 4-5 April ,2012, Ramadi, Iraq.

20. "Developing DSS for Huge Data Based on Cleaning Techniques", IACe-T, 3rd International Arab Conference on e-Technology, Jordan 25-27 April 2012.

21. "EVALUATION OF BITMAP INDEX USING PROTOTYPE DATA WAREHOUSE ", International   Journal of Computers & Technology Volume 2 No.2 April    2012.

22. "Design and Implementation of OLAP System for Distributed Data Warehouse", 5th Scientific Conference in Information technology, University of Mosul,19-20/Dec./2012.

23. "Design and Implementation Materialized Views Tools in Data Warehouse", Journal of the College of Basic Education", Baghdad, Vol. 19, No. 81, 2013.

24." Data Pre-processing for knowledge discovery", Journal of Tikrit University Journal of Pure Science, Vol. 18, No. 3, 2013.

25." Knowledge-driven decision support system based on knowledge warehouse and data mining for market management", Global Journal of Management and Business Research Marketing, Volume 13, Issue 10, Version 1.0, Year 2013. Global Journals Inc. (USA).

26." Using Fuzzy Logic Technique to Eliminate the Duplicates in Large Database", Journal of University of Human Development, Vol.1, No.4, September,2015.

27. " Design and implementation of an Electronic Classroom to teach the curriculum at the University of Anbar / Iraq ", 3rd International Conference on Information and Communication Technologies for Education and Training, Khartoum, Sudan, March 12-14, 2016.

28."Role of Materialized View Maintenance with On-line Analytical Processing", Scientific Journal of the Karbala University, Fourth Scientific Conference of the College of Science,2016.

29." A Dynamic Warehouse Design Based on Simulated Annealing Algorithm", Journal of Advanced Computer Science and Technology Research, Vol.6 No.1, March 2016, 1-8.

30." Using Q-Gram and Fuzzy Logic Algorithms for Removing Data Warehouse Duplications", Computer Science and Telecommunication Engineering International Conference 2016 (CSTE2016) in Kuala Lumpur, Malaysia on 19-20 November 2016.

31." Removing Duplicate Records from Data Warehouse by Q-gram and Neural Network", International Journal of Engineering and Technology (IJET), Vol 8 No 5 Oct-Nov 2016.

32. "INDEXES' OPTIMAL SELECTION FOR DATA WAREHOUSE QUALITY" ,The International Journal of Computer Science and Information Security (IJCSIS), December 2016.

33. "    A Comparative Study of the Deletion of duplicated Records Using Smart and Statistical Methods in the Data Warehouse", The  International  Arab  conference  on  Information  technology(ACIT), December,2017, Safax University, Tunisia.

34. "Materialized Views Optimal Selection for Data Warehouse  Quality", Journal of Engineering and Applied Sciences, Year: 2017  Volume: 12 | Issue: 22 Page No: 5997-6005.

  35. "Duplicate detection and elimination in xml data for a data Warehouse", International Journal of Engineering & Technology Website: www.sciencepubco.com/index.php/IJET , 2018.

36.       “INDEXES’ OPTIMAL SELECTION FOR DATA WAREHOUSE QUALITY” , International Journal of Computer Science and Information Security (IJCSIS), Vol. 15, No. 2, February 2017.

37.      “A Hybrid Approach Materialized Views and Index for Data Warehouse Quality”,REVISTA AUS 26-2.

38.      “Data Webhouse for Monitoring the Use of Enterprise Information System”, EDAS Conference and Journal Management System, 978-1-7281-3021-7/19/$31.00©2019 IEEE Explorer . from 7th to 10th October 2019 at Kazan Federal University, Kazan, Russia.

39.      “Data Quality Management for Big Data  Applications ”, EDAS Conference and Journal Management System, 978-1-7281-3021-7/19/$31.00©2019 IEEE Explorer . from 7th to 10th October 2019 at Kazan Federal University, Kazan, Russia.

40.      " A Technique for Discovering Similarities between Texts Based on Extracting Features  from the Text",J. of university of anbar for pure science : Vol.31 : No.1 : 2019.

41.      “Intelligent  decision support system: Application on university”, Al-Maaref University College,Vol.28 :No.1 : 2019.

42. "Deep Image Mining for Convolution Neural Network" , International Conference on Engineering and Computing (ICEEComp2020), Malaysia ,14–15 March 2020.

43.      "Encryption Data Webhouse of Enterprise Information  System", International Journal of Technical Innovation in Modern Engineering & Science (IJTIMES). Volume 06, Issue 03, March 2020.

44. Data quality management for big data applications",  ering, DeSE, 2019, October-2019, pp. 357–362, 9073586Proceedings - International Conference on Developments in eSystems Engine.

45. "A Survey Paper on Image Mining Techniques and Classification Brain Tumor", Journal of Physics:  Conference Series, ICMAICT 2020, IOP Publishing, 1804 (2021) 012110, doi:10.1088/1742-6596/1804/1/012110.

46. "Big Data Management Using Hadoop",  Journal of Physics: Conference Seriesthis link is disabled, 2021, 1804(1), 012109.

47. "A Comparative Study of Indexing Techniques Effect in Big Data System Storage Optimization", Proceedings - 2nd Al-Noor International Conference for Science and Technology, NICST 2020, 2020, pp. 18–21, 9280309

48. "  Simulated Hadoop with Unstructured Data for Big Data Integrity ",Solid State Technology ,Volume: 63 Issue: 6, Publication Year: 2020.

49. " Sentiment Analysis of Restaurant Reviews in Social Media using Naïve Bayes ",APPLICATIONS OF MODELLING AND SIMULATION, eISSN 2600-8084 VOL 5, 2021, 166-172.

50. "Credit Card Fraud Detection in Financial Transactions Using Data Mining Techniques", 7th International Conference on Contemporary Information Technology and Mathematics, ICCITM 2021, 2021, pp. 160–166.

51."A Comprehensive Survey of Fraud Detection Methods in Credit Card Based on Data Mining Techniques",The first virtual international conference of sciences (VICS 2021). 26 May 2021, Anbar, Iraq. Publication in the American Institute of Physics: AIP Conference Proceedings indexed by Scopus (Elsevier – Web of Science).

52. " Building and Analysis of COVID-19 Database for Defining the Most Important Symptoms of Diagnosis", Design Engineering,  ISSN: 0011-9342 | Year 2021, Issue: 8 | Pages: 14693-14702.

53. "Text Classification Using Convolutional Neural Networks ", Fusion: Practice and Applications Vol. 07, No. 01, PP. 53- 65, 2022,ASPG(American Scientific Publishing Group). Doi :https://doi.org/10.54216/FPA.070105.

54. "Improved k-Means Clustering Algorithm for Big Data Based on Distributed SmartphoneNeural Engine Processor ", Electronics 2022, 11, 883. https://doi.org/10.3390/electronics11060883, https://www.mdpi.com/journal/ electronics.

55. "Fractal Dimension Estimating Methods for Data Analyzing: Survey ",JOURNAL OF OPTOELECTRONICS LASER ISSN:1005-0086, Volume 41 Issue 4, 2022. DOI: 10050086.2022.04.25.

56. "FUZZY-LOGIC SYSTEM: AS AN ASSISTANT FOR CLASSIFICATION BY MULTI-FRACTAL  DIMENSION MODEL MEASURES ", JOURNAL OF HARBIN INSTITUTE OF TECHNOLOGY ISSN: 0367-6234 Vol. 54 Iss. 8 2022. DOI: 10.11720/JHIT.54082022.12.

57. "Big Data Applications Based on Web Mining Techniques and Recommender Systems: Survey ",2nd International Conference for Engineering Sciences and Information Technology (ESIT 2022), College of Engineering /University of Anbar, Iraq, Aug 17th – 18th 2022.

58. "Improving the Quality of Big Data using Machine Learning and Artificial Intelligence Techniques ",2nd International Conference for Engineering Sciences and Information Technology (ESIT 2022), College of Engineering /University of Anbar, Iraq, Aug 17th – 18th 2022.

59. " Improving Large Data Quality Through Machine Learning and Artificial Intelligence Techniques: A Review", 3rd  International Conference on Smart Cities and Sustainable Planning, 26-27 April 2022,Baghdad , Iraq.

60. "  A Review of Marketing Recommendation Systems ", AIP Conference Proceedings. 09-Aug-2022 20:21 GMT.

61. "Building a product  Recommender systems with sales Data of Marketing  ", The  2nd International Conference of Mathematics, Applied Sciences, Information and Communication Technology.

62. Doreyed M. Ahmed Al-KerbolyMurtadha M. HamadOmar A. Dawood, " Improving educational big data based on web mining and association rules ", AIP Conf. Proc. 3015, 020005 (2023), https://doi.org/10.1063/5.0188857.

63. M.A. Salih M.M. Hamad W.M. Jasim, "APPLICATION OF FUZZY LOGIC TECHNIQUES IN MEDICAL DIAGNOSIS " ,International Journal on “Technical and Physical Problems of Engineering” (IJTPE) Published by International Organization of IOTPE, December 2023 Issue 57 Volume 15 Number 4 Pages 107-115.

64. M.A. Salih M.M. Hamad W.M. Jasim," OPTIMIZATION FEATURE SELECTION TECHNIQUES FOR BIG DATA USING MULTI PHASE PARTICLE SWARM OPTIMIZATION ALGORITHM", International Journal on “Technical and Physical Problems of Engineering” (IJTPE) Published by International Organization of IOTPE, September 2023 Issue 56 Volume 15 Number 3 Pages 188-196.

65. Fouad H. Awad and Murtadha M. Hamad "Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression"MDPI, Life 2023, 13(3), 691.

66. Ammar Abbood MohammedMurtadha M. Hamad, " Recommender Systems and Machine Learning Techniques for Large Educational Data: A Survey", Published in: 2023 16th International Conference on Developments in eSystems Engineering (DeSE)

67. Wasan Abd MajeedMurtadha M. Hamad, " Outlier for High Dimensional Data A Review" , Published in: 2023 16th International Conference on Developments in eSystems Engineering (DeSE)

68. Fouad H. Awad, Murtadha M. Hamad "Big Data Clustering Techniques Challenges and Perspectives: Review" Informatica 47 (2023) 203–218.

69.  Wasan Abd MajeedMurtadha M. Hamad, " Exploring High-Dimensional Outlier Detection: A Comprehensive Study on Methods and Applications Using PCA and k-NN Algorithm", 2024 21st International Multi-Conference on Systems, Signals and Devices, SSD 2024, 2024, pp. 699–704.

70. M. M. Hamad, "Demystifying Bone Mineral Density Assessment with Deep Learning: A Comprehensive Survey,21st International Multi-Conference on Systems, Signals & Devices (SSD'2024).

71. H. R. Ibraheem and M. M. Hamad, "Integrating Fuzzy Set Theory with Association Rule Mining for Advanced E-Commerce Recommendations," Iraqi Journal for Computer Science and Mathematics, vol. 5, pp. 1–20, 2024. doi: 10.52866/2788-7421.1217.

72. H. R. Ibraheem and M. M. Hamad, "GANFARM: A Novel Approach to Credit Card Fraud Detection Using Generative Adversarial Networks and Fuzzy Association Rules Mining," in Proceedings of the 2nd Joint International Conference on Mathematics, Statistics and Engineering, August 13, 2024.

Lectures


No. Subjects Lectures Stage File Video
1 Data Mining Review for Essentials of Data Mining Fourth
2 Data Mining What Is Data Mining? Fourth
3 Data Mining Classification: Definition Fourth
4 Data Mining Classification: Applications Fourth
5 Data Mining Association Rule Discovery: Definition Fourth
6 Data Mining Data Mining and Induction Principle Fourth
7 Data Mining Data Mining: A KDD Process Fourth
8 Data Mining Data Mining vs. Statistical Analysis Fourth
9 Data Mining Example of DBMS, OLAP and Data Mining: Weather Dat Fourth
10 Data Mining Major Issues in Data Warehousing and Mining Fourth
11 Data Mining ATTRIBUTES Fourth
12 Data Mining DATA: ALGEBRAIC VIEW Fourth
13 Data Mining References First

Academic certificates

- Bachelor of Science in Computer Science (Scientific Computing) - College of Science - University of Mosul - 1982-1983.
- Higher Diploma in Educational Computing - Research and Development Institute - National Center for Computer Science - 1988.
- Master of Science in Computer Science - College of Science - University of Baghdad - 1991.
- Doctor of Philosophy in Computer Science - University of Technology - Institute of Informatics for Graduate Studies - 2004.
- Professor of Computer Science since 2015.

Supervision

No.

Thesis or Dissertation Title

Department

Year

1

Bitmap Index Design and Evaluation

Computer Science

2007–2008

2

OLAP Techniques for Approximation and Mining Query Answering

Computer Science

2007–2008

3

Design and Implementation of e-University Enhancement by Using Data Warehouse Capability

Computer Science

2007–2008

4

Data Cube Compression Technique in Data Warehouse System

Computer Science

2008–2009

5

Implementation of Secure Distributed Data Warehouse

Computer Science

2008–2009

6

Performance Testing Techniques for Applied Programs

Computer Science

2008–2009

7

Developing DSS for Huge Data Based on Cleaning Techniques

Computer Science

2009–2010

8

Evaluating Quality Assurance Based on Statistical and Mathematical Models

Computer Science

2009–2010

9

Data Warehouse Implementation Based on Quality Requirements

Computer Science

2010–2011

10

Design and Implementation of OLAP System for Distributed Data Warehouse

Computer Science

2010–2011

11

Design and Implementation of Materialized Views Tool for Data Warehouse Structure

Computer Science

2011–2012

12

Applying the Concept of Knowledge Warehouse in Enterprise Resource Management

Computer Science

2011–2012

13

A Dynamic Warehouse Design Using Simulation Modeling Approach

Computer Science

2012–2013

14

Duplicate Elimination Using Hybrid Methods for a Data Warehouse

Computer Science

2013–2014

15

Optimal Selection of Materialized Views and Indexes for Quality Data Warehouse

Computer Science

2014–2015

16

A Hybrid Dynamic Approach for Knowledge-Derived DSS

Computer Science

2016–2017

17

Duplicate Detection and Elimination in Hierarchical Data Warehouse

Computer Science

2016–2017

18

A Data Webhouse to Monitor the Use of Enterprise Information System

Computer Science

2017–2018

19

Data Quality Management for Big Data Applications

Computer Science

2017–2018

20

Simulated Hadoop with Unstructured Data for Big Data Integrity

Computer Science

2018–2019

21

Data Mining Techniques for Knowledge Discovery in Digital Images

Computer Science

2018–2019

22

Integrating OLAP and Recommender Systems for User Considerations in a Multidimensional Framework

Computer Science

2019–2020

23

Fraud Detection in Credit Card Financial Transactions Using Data Mining Techniques

Computer Science

2020–2021

24

Recommender Systems for Niche Local Market

Computer Science

2020–2021

25

Developing Scalable Data Warehouse with Big Data Requirements

Computer Science

2020–2021

26

Big Data Predictive Analysis of COVID-19 Based on Data Mining and Fuzzy Logic Techniques

Computer Science

2020–2021

27

Multi-Dimensional Fractal Analysis for Optimal Knowledge Discovery

Computer Science

2020–2021

28

Improving Large Data Quality through Machine Learning and Artificial Intelligence Techniques

Computer Science

2021–2022

29

A Robust Big Data System Based on Machine Learning

Computer Science

2021–2022

30

A Hybrid Integrated Model for Big Data Applications Based on Web Mining Techniques and Recommender Systems

Computer Science

2021–2022

31

A Hybrid Integrated Model for Big Data Applications Based on Association Rules and Fuzzy Logic

Computer Science

2022

32

Recommender Systems and Machine Learning Techniques for Large Educational Data

Computer Science

2022

33

Privacy-Preserving Outlier Detection for High-Dimensional Data

Computer Science

2022

34

Deep Learning and Fuzzy Logic Techniques for Bone Density Scan (DEXA Scan) Diagnosis

Computer Science

2023

35

Integrating Machine Learning Techniques and Recommender Systems in a Multidimensional Framework for Market Analysis

Computer Science

2023

36

Integrating Deep Clustering and Recommender Systems for Large Data Analytics

Computer Science

2024

37

Knowledge Management in Association Rule Mining for Marketing Decision

Computer Science

2024

Other

Experience :

-Taught subjects specialized in programming languages and their application for 25 years: 1991 - 1997 in college of engineering, and 1998 - 2016 in college of computers.

- Taught computer courses for graduate students in different departments of the university

- Examined and evaluated many M.Sc. and PhD theses in subjects related to computers application in more than one university.

- prepared a number of manuals in computers, some of which are adopted as syllabus in University of Anbar.

- Supervised and prepared a number of specialized courses in different fields of computers for different levels periodically.

- Supervised and prepared a number of specialized symposiums in computers held in University in Anbar

- Supervised and prepared information systems in different fields, in accordance with the needs of the institutions and companies for such systems .

- Read specialized in computers and issued a number of conferences specialized in computers and issued a number of papers in authentic periodicals specialized in computers.

Occupations:

- Head of Computers center in University of Anbar / 1993 - 1995.

- Head of Computers and statistics unit in College of engineering / University of Anbar / 1996 - 1998.

- Dean assistant for Scientific Affairs and Higher studies / College of Computers / University of Anbar / 2001- 2003.

- Head of Department of Computer Science / College of Computers / University of Anbar / 2004-2008.

- Dean assistant for Scientific Affairs and Higher studies / College of Computers / University of Anbar / 2008- 2009.

- Dean for College of Computers / University of Anbar / 2010- 2015.

The Positions (Employment):

- Manager (Director) of Electronic Computer Center at University of Anbar for the period (4993-1995).

- Manager of the Unit of Accounts and statistics in the college of Engineering-University of Anbar (1996-1998.

- Rapporteur of the Department of Mechanical Engineering of the college of Engineering-University of Anbar (1995-1998).

- Head of the Department of the systems of Data of the college of computer (1999-2001).

- Assistant Dean for the Scientific affairs and higher studies-college of computer- University of Anbar for the period (2001-2004).

- Head of the Department of computers science/college of computer, University of Anbar for the period (2004-2009).

- Assistant Dean for the scientific affairs and higher studies-college f science- University of Anbar for the Period (2009-2010).

- Dean of the college of computer since April 2010 till July 2015.

The Present Position (Employment):

- I work as a teacher to teach undergraduate students, and also I work as a teacher and supervisor of postgraduate students at the college of computer.

Achievements and Activities:

- Realizing a cooperative agreement between the college of computer of the University of Anbar and the college of Information and Technology of UKM University of Malaysia and cooperation agreement which concerns the curricula of the apartment of systems with Liverpool University of Britain.

- College of computer attained the second rank among the University when I was the dean according to the ministerial evaluation of achievement in 2013.

- Attaining honoring from the University for being the distinguished professor in the college for more than one year.

- Achieving the supervisor of electronic projects among them: the electronic class, the electronic gate and others.

- Member of the Journal of Anbar for Pure Sciences for ten years (2006 - 2016).) 2018-Now).

 

Year

Department

Thesis Title

No.

2007-2008

Computer Science

Bitmap Index Design and Evaluation

1

2007-20082

Computer Science

OLAP Techniques for Approximation and Mining Query Answering

2

2007-2008

Computer Science

Design and Implementation of e-University Enhancement by Using Data Warehouse Capability

3

2008-2009

Computer Science

Data cube compression technique in data warehouse system

4

2008-2009

Computer Science

Implementation of secure distributed data warehouse

5

2008-2009

Computer Science

Performance testing techniques for applied programs

6

2009-2010

Computer Science

Developing DSS for Huge Data Based on Cleaning Techniques

7

2009-2010

Computer Science

Evaluating Quality Assurance Based on Statistical and Mathematical Models

8

2010-2011

Computer Science

Data Warehouse Implementation Based on Quality Requirements

9

2010-2011

Computer Science

Design and Implementation of OLAP System for Distributed Data Warehouse

10

2011-2012

Computer Science

Design and Implementation of Materialized Views Tool for Data Warehouse Structure

11

2011-2012

Computer Science

Applying the Concept of Knowledge Warehouse in Enterprise Resource Management

12

2012-2013

Computer Science

A Dynamic Warehouse Design Using Simulation Modelling Approach

13

2013-2014

Computer Science

Duplicate Elimination using Hybrid methods for a Data Warehouse

14

2014-2015

Computer Science

Optimal Selection of Materialized Views and Indexes for Quality Data Warehouse

15

2016-2017

Computer Science

A Hybrid Dynamic Approach For Knowledge Derived DSS

16

2016-2017

Computer Science

Duplicated Detection and Elimination in Hierarchical  Data Warehouse

17

2017-2018

Computer Science

A data Webhouse to Monitor the use of Enterprise Information System

18

2017-2018

Computer Science

Data Quality Management for Big Data Applications

19

2018-2019

Computer Science

Simulated Hadoop with unstructured data for Big Data Integrity

20

2018-2019

Computer Science

Data Mining Techniques for Knowledge Discovery  in   Digital Images

21

2020-2019

Computer Science

Integrating OLAP and Recommender Systems for user considerations in multidimensional framework.

  1.  

2021-2020

Computer Science

Fraud Detection in Credit Card Financial Transactions Using Data Mining Techniques

  1.  

2021-2020

Computer Science

 Recommender Systems for Niche Local Market

  1.  

2021-2020

Computer Science

Developing Scalable Data warehouse with Big Data Requirements

  1.  

2021-2020

Computer Science

Big Data Predictive Analysis of COVID-19 based on Data Mining and Fuzzy Logic Techniques

  1.  

2021-2020

Computer Science

Multi-Dimensional  Fractal analysis for Optimal Knowledge Discovery

  1.  

2022-2021

Computer Science

Improving Large Data Quality through  Machine Learning and Artificial Intelligence Techniques

  1.  

2022-2021

Computer Science

A Robust Big Data based on Machine Learning

  1.  

2022-2021

Computer Science

A Hybrid Integrated Model for Big Data Applications Based on Web Mining Techniques and Recommender Systems

  1.  

2022

Computer Science

A Hybrid Integrated Model for Big Data Applications Based on Association Rules and Fuzzy Logic.

  1.  
2022 Computer Science Recommender Systems and Machine Learning Techniques for Large Educational Data 32
2022 Computer Science Privacy Preserving Outlier Detection for High Dimensional Data 33
2023 Computer Science

Deep Learning and Fuzzy Logic Techniques for Bone Density

Scan (DEXA Scan) Diagnosis
34
2023 Computer Science

Integrating Machine Learning Techniques and Recommender Systems in Multidimensional   Framework for Market Analysis

35
2024 Computer Science

Integrating Deep Clustering and recommendation systems for large data analytics

36
2024 Computer Science

Knowledge Management in Association Rule Mining  for Marketing Decision

37