Journal Papers/Book Chapters

• FS^3: A Sampling Based Method for Top-k Frequent Subgraph Mining , Tanay Kumar Saha, and Mohammad Al Hasan. in Statistical Analysis and Data Mining, Volume 8, issue 4, pages 245-261, August 2015, Wiley Publishing Inc (author copy pdf)


• An Iterative MapReduce based Frequent Subgraph Mining Algorithm, Mansurul A Bhuiyan, and Mohammad Al Hasan. in IEEE Transactions on Knowledge and Data Engineering, Volume 27, Issue 3, Pages 608-620 (pdf)


• Graft: An Efficient Graphlet Counting Method for Large Graph Analysis, Mahmudur Rahman, Mansurl Alam Bhuiyan, Mohammad Al Hasan. in IEEE Transactions on Knowledge and Data Engineering , Volume 26, Issue 10, Pages 2466-2478 (pdf)


• Guise: a uniform sampler for constructing frequency histogram of graphlets , Mahmudur Rahman, Mansurl Alam Bhuiyan, Mahmuda Rahman, Mohammad Al Hasan. in Knowledge and Informaton Systems (2014), Volume 38, Issue 3, pp 511-536, DOI: 10.1007/s10115-013-0673-3 (author copy pdf)


• A Survey of Link Prediction in Social Networks, Mohammad Al Hasan, and Mohammed J. Zaki. in Social Network Data Analytics, pp 243-275, 2011, Springer


• SimClus: An effective Algorithm for Clustering with a Lower Bound on Similarity , Mohammad Al Hasan, Saeed Salem, Mohammed Zaki, George E. Plopper. in Knowledge and Informaton Systems (2011), 28 (3), 665-685


• Quantification of Spatial Parameters in 3D Cellular Constructs Using Graph Theory, Amanda Waite Lund, Cagatay C. Bilgin, Mohammad Al Hasan, Lindsey M. McKeen, Jan P. Stegemann, Bulent Yener, Mohammed Zaki, George E. Plopper. in Journal of Biomedicine and Biotechnology (accepted)


• Robust Partitional Clustering by Outlier and Density Insensitive Seeding, Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, and Mohammed Zaki in Pattern Recognition Letters, 30(11), 994-1002


• SPARCL: An Effective and Efficient Algorithm for Mining Arbitrary Shape-based Clusters, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed Zaki in Knowledge and Information Systems Journal, 21(2), 201-229


• Optimal Placement of Stereo Sensors, Mohammad Al Hasan,Krishna K. Ramachandran, and John E. Mitchell in Optimization Letters, vol 2(1), 2008, pp. 99-111


• Context shapes: Efficient complementary shape matching for protein-protein docking, Zujun Shentu, Mohammad Al Hasan, Chris Bystroff, and Mohammed J. Zaki in PROTEINS: Structure, Function, and Bioinformatics, vol 70(3), 2008, pp. 1056-1073


• ORIGAMI: A Novel and Effective Approach for Mining Representative Graph Patterns, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed J. Zaki in Statistical Analysis and Data Mining, vol 1(2), 2008, pp. 67-84


• Summarization in Pattern Mining, Mohammad Al Hasan in Encyclopedia of Data Warehousing and Mining, (2nd Ed) , Information Science Reference, 2008


• An Integrated, Generic Approach to Pattern Mining: Data Mining Template Library , Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed J. Zaki in Data Mining and Knowledge Dicsovery Journal, 17(3), 2008, pp. 457-495

Conference/Workshop Papers

• Trust from the past: Bayesian Personalized Ranking based Link Preediction in Knowledge Graphs Baichuan Zhang, Sutanay Chowdhury, Mohammad Al Hasan Xia Ning, Khushbu Agarwal, Sumit Purohit, and Paola Pesantez Cabrera in SIAM Data Mining Workshops, 2016, Miami, FL, USA


• Batch-Mode Active Learning for Technology-Assisted Review Tanay Saha and Mohammad Al Hasan, Chandler Burgess, Md Ahsan Habib, and Jeff Johnson in IEEE Big Data, 2015, Santa Clara, CA, USA


• FS^3: A Sampling based method for top-k Frequent Subgraph Mining Tanay Saha and Mohammad Al Hasan, in IEEE Big Data Workshops: Scalable Machine Learning: Theory and Applications, 2014, Washington DC, USA


• Sampling triples from restricted networks using MCMC strategy, Mahmudur Rahman, and Mohammad Al Hasan, in CIKM 2014, Shanghai, China


• Name Disambiguation from link data in a collaboration graph, Baichuan Zhang, Tanay Kumar Saha, and Mohammad Al Hasan, in ASONAM 2014, Beijing, China


• Approximate triangle counting algorithms on Multi-cores, Mahmudur Rahman and Mohammad Al Hasan, in IEEE Big Data Workshops: Scalable Machine Learning: Theory and Applications, 2013, San Jose, USA


• On Segmentation of e-Commerce queries, Nish Parikh, Prasad Sriram, and Mohammad Al Hasan, in CIKM 2013, San Francisco, USA


• GUISE: Uniform Sampling of Graphlets for Large Graph Analysis, Mansurul Alam Bhuiyan, Mahmudur Rahman, Mahmuda Rahman and Mohammad Al Hasan, in ICDM 2012, Brussels, Belgium


• Interactive Pattern Mining on Hidden Data: A Sampling-based Solution , Mansurul Alam Bhuiyan, Snehasis Mukhopadhyay, and Mohammad Al Hasan, in CIKM 2012, Hawaii, US


• Graft: an Approximate Graphlet Counting Algorithm for Large Graph Analysis , Mahmudur Rahman, Mansurul Alam Bhuiyan, and Mohammad Al Hasan, in CIKM 2012, Hawaii, US


• Query Suggeston for E-commerce Sites, Mohammad Al Hasan, Nish Parikh, Gyanit Singh, and Neel Sundaresan in WSDM 2011, Hong Kong


• SONNET: Efficient Approximate Nearest Neighbor using Multi-Core, Mohammad Al Hasan, Hilmi Yildirim and Abhirup Chakrabarty in ICDM 2010, Sydney, Australia


• Output Space Sampling for Graph Patterns, Mohammad Al Hasan, and Mohammed J. Zaki in VLDB 2009, Lyon, France


• COA: Finding Novel Patents through Text Analysis, Mohammad Al Hasan,W. Scott Spangler, Thomas Griffin, and Alfredo Alba in SIGKDD 2009, Paris, France


• MUSK: Uniform Sampling of k Maximal Patterns, Mohammad Al Hasan and Mohammed J. Zaki in Proceedings of SIAM International Conference on Data Mining, Sparks, NV, 2009


• Clustering with Lower Bound on Similarity, Mohammad Al Hasan, Saeed Salem, Benjarath Pupakdi and Mohammed J. Zaki in Proceedings of Pacific-Asia Conference on Knowledge Discovery and Data Mining, Thailand, 2009 (Best Paper Award)


• SPARCL: Efficient and Effective Shape-based Clustering, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, and Mohammed J. Zaki in Proceedings of IEEE International Conference on Data Mining, Pisa, Italy, 2008 (full paper acceptance rate = 9.67%)


• ORIGAMI: Mining Representative Orthogonal Graph Patterns, Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jeremy Besson, and Mohammed J. Zaki in Proceedings of IEEE International Conference on Data Mining, Omaha, NE, 2007, pp 153. (full paper acceptance rate = 7.5%)


• Assessing Patent Value through Advanced Text Analytics, Mohammad Al Hasan, W. Scott Spangler in Eleventh International Conference of Artificial Intelligence and Law, 2007. A longer version is also published as IBM Research, Technical Report no-RJ10402, 2007.


• Link Prediction using Supervised Learning, Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Mohammed Zaki in SIAM Workshop on Link Analysis, Counterterrorism and Security with SIAM Data Mining Conference, Bethesda, MD,2006


• DMTL: A generic Data Mining Template Library, Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Nagender Parimi, Mohammed Zaki in Workshop on Library-Centric Software Design(LCSD05) with Object-Oriented Programming, Systems, Languages and Applications, San Diego, CA, 2005.


• Towards Generic Pattern Mining, Mohammed Zaki, Nilanjana De, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem in International Conference on Formal Concept Analysis (ICFCA'05), France, 2005. A shorter version of this paper is published as invited paper in Pattern Recognition and Machine Intelligence (PReMI '05)