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Research Group Details


Data Mining Research Group (DMR)

About Us

The Data Mining Research Group (DMR) of Department of Computer Science and Engineering, University of Dhaka conducts high quality researches on Data Mining and Machine Learning with the help of dedicated faculties along with talented students and fellows. The research interests of this group includes Data Mining and Knowledge Discovery, Machine Learning, Stream Data Management, Web Mining, Correlation Analysis, Database Management, Information Retrieval, etc.

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  1. Dr. Chowdhury Farhan Ahmed (2011 - Present)
  2. Md. Samiullah (2013 - Present)
  3. Anna Fariha (2014 - Present)

Research Fellow

    PhD Student

      MPhil Student

        MS Student

        1. Rutba Aman (2016 - Present)
        2. Amit Mandal (2014 - Present)
        3. Maliha Mourin (2014 - Present)
        4. Saikat Bose (2014 - Present)
        5. Tahira Alam (2014 - Present)
        6. Sabit Anwar Zahin (2014 - Present)
        7. Mahmudur Rahman (2014 - Present)
        8. Naimul Hoque (2014 - Present)

        BSc Student



            MS Student

            1. Quazi Marufur Rahman (2014 - 2015)
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            2. Maliha Momtaz (2014 - 2016)
            3. Manziba Akanda (2007 - 2009)
            4. Md. Sazzad Hissain Khan (2008 - 2010)

            BSc Student

            1. Amit Mandal (2014 - 2015)
            2. Mehedi Hasan (2014 - 2015)
            3. Nitish Ranjan Bhowmik (2015 - 2016)
            4. Kazi Mazbah Uddin (2015 - 2016)
            5. Md. Shariful Islam (2009 - 2010)

            1. Akiz Uddin Ahmed, Chowdhury Farhan Ahmed, Md. Samiullah, Nahim Adnan, Carson Kaisang Leung: Mining interesting patterns from uncertain databases. Information Sciences [Elsevier]. 354: 60-85 (2016)
            2. A. U. Ahmed, Chowdhury Farhan Ahmed, M. Samiullah, N. Adnan, C. K. –S. Leung: Mining Interesting Patterns from Uncertain Databases. Information Sciences [Elsevier]. 354: 60-85 (2016)
            3. A. Fariha, Chowdhury Farhan Ahmed, C. K. –S. Leung, M. Samiullah, S. Pervin, L. Cao: A New Framework for Mining Frequent Interaction Patterns from Meeting Databases. Engineering Applications of Artificial Intelligence (Elsevier). 45: 103 - 118 (2015)
            4. Amit Mandal, Mehedi Hasan, Anna Fariha, Chowdhury Farhan Ahmed: GSCS - Graph Stream Classification with Side Information. APWeb. 389-400 (2015)[PDF]
            5. A. K. Chanda, S. Saha, M. A. Nishi, M. Samiullah, Chowdhury Farhan Ahmed: An Efficient Approach to Mine Flexible Periodic Patterns in Time Series Databases. Engineering Applications of Artificial Intelligence (Elsevier). 44: 46 - 63 (2015)
            6. Chowdhury Farhan Ahmed, N. Lachiche, C. Charnay, S. El Jelali, A. Braud: Flexible Propositionalization of Continuous Attributes in Relational Data Mining. Expert Systems with Applications (Elsevier). 42(21): 7698 - 7709 (2015)
            7. Chowdhury Farhan Ahmed, N. Lachiche, C. Charnay, A. Braud: Reframing Continuous Input Attributes. The IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI-2014), Limassol, Cyprus. 31-38 (2014)
            8. M. Samiullah, Chowdhury Farhan Ahmed, A. Fariha, A. U. Ahmed: Efficient Graph Classification in Shifted Datasets Using Weighted Correlated Feature Selection”, In ECML-PKDD Workshop (LMCE), Nancy, France, 2014. . In ECML-PKDD Workshop (LMCE). (2014)
            9. Chowdhury Farhan Ahmed, C. Charnay, N. Lachiche, A. Braud: Reframing on Relational Data. The 24th International Conference on Inductive Logic Programming (ILP-2014), Nancy, France. (2014)
            10. T. Hashem, Chowdhury Farhan Ahmed, M. Samiullah, S. Akther, B. –S. Jeong, S. Jeon: An Efficient Approach for Mining Cross-Level Closed Itemsets and Minimal Association Rules using Closed Itemset Lattices. Expert Systems with Applications (Elsevier). 41,Issue 6: 2914 - 2938 (2014)
            11. Chowdhury Farhan Ahmed, N. Lachiche, C. Charnay, A. Braud: Dataset Shift in a Real-Life Dataset. In ECML-PKDD Workshop (LMCE). (2014)
            12. M. Samiullah, Chowdhury Farhan Ahmed, A. Fariha, M. R. Islam, N. Lachiche: Mining Frequent Correlated Graphs with a New Measure. Expert Systems with Applications (Elsevier). 41(4(2)): 1847 - 1863 (2014)
            13. M. A. Nishi, Chowdhury Farhan Ahmed, M. Samiullah, B. –S. Jeong: Effective periodic pattern mining in time series databases. Expert Systems with Applications (Elsevier). 40(8): 3015–3027 (2013)
            14. M.R. Karim, Chowdhury Farhan Ahmed, B. –S. Jeong, H. –J. Choi: An Efficient Distributed Programming Model for Mining Useful Patterns in Big Datasets. IETE Technical Review. 30(1): 53-63 (2013)
            15. A. Fariha, Chowdhury Farhan Ahmed, C. K. –S. Leung, S M Abdullah, L. Cao: Mining Frequent Patterns from Human Interactions in Meetings Using Directed Acyclic Graphs. The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Springer-Verlag LNCS (LNAI) 7818(1), Gold Coast, Australia. 38-49 (2013)
            16. M. Samiullah, Chowdhury Farhan Ahmed, M. A. Nishi, A. Fariha, S M Abdullah, M. R. Islam: Correlation Mining in Graph Databases with a New Measure. The 15th International Asia-Pacific Web Conference (APWeb), Springer-Verlag LNCS 7808, Sydney, Australia. 88-95 (2013)
            17. A. Fariha, S. Islam , Chowdhury Farhan Ahmed, B. –S. Jeong: An Algorithm towards Indexing Evolving Graph Databases . GSTF International Journal on Computing. 2(2): 8-14 (2012)
            18. S. Islam, A. Fariha, Chowdhury Farhan Ahmed, B. –S. Jeong: EGDIM - Evolving Graph Database Indexing Method. The 6th International Conference on Ubiquitous Information Management and Communication (ICUIMC), Article No. 56, doi>10.1145/2184751.2184820, Kuala Lumpur, Malaysia,. (2012)
            19. T. S. Zaman, N. Islam, Chowdhury Farhan Ahmed, B. –S. Jeong: iWAP: A Single Pass Approach for Web Access Sequential Pattern Mining. GSTF International Journal on Computing. 2(1): 61-67 (2012)

            Funded Projects

            Unfunded Projects