[78] | Dynamic topic modeling of the COVID-19 Twitter narrative among US governors and cabinet executives (Hao Sha, Mohammad Al Hasan, George Mohler, P Jeffrey Brantingham), In arXiv preprint arXiv:2004.11692, 2020. |
[77] | Investigate Transitions into Drug Addiction through Text Mining of Reddit Data (John Lu, Sumati Sridhar, Ritika Pandey, Mohammad Al Hasan, George Moher), In Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, 2019. |
[76] | Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter (Baichuan Zhang, Murat Dundar, Vachik S. Dave, Mohammad Al Hasan), In Proceedings of ACM Joint Conference on Digital Libraries (JCDL), ACM, 2019. |
[75] | Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins using Frequent Subgraph Mining (Tanay Kumar Saha, Ataur Katebi, wajdi Dhifli, Mohammad Al Hasan), In IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE, 2019. |
[74] | Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding (Vachik Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan), In Data Science and Engineering, volume 4, 2019. |
[73] | Neural-Brane: An Inductive Approach for Attributed Network Embedding (Vachik Dave, Baichuan Zhang, Pin-Yu Chen, Mohammad Al Hasan), In 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, Vancouver, Canada, 2019. |
[72] | Triangle Completion Time Prediction using Time-conserving Embedding (Vachik Dave, Mohammad Al Hasan), In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019, Proceedings, Part I, 2019. |
[71] | Into the Reverie: Exploration of the Dream Market (Theo Car, Jun Zhuang, Dwight Sablan, Emma LaRue, Yubao Wu, Mohammad Al Hasan, George Mohler), In 2019 IEEE International Conference on Big Data, Los Angeles, CA, USA, 2019. |
[70] | Network Alignment using Graphlet Signature and High Order Proximity (Aljohara Fahad Almulhim, Vachik Dave, Mohammad Al Hasan), In Proc. of Fifth International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, Tuscany, Italy, September 10-13, 2019. |
[69] | GPU Accelerated Browser for Neuroimaging Genomics (Bob Zigon, Huang Li, Xiaohui Yao, Shiaofen Fang, Mohammad Al Hasan, Jingwen Yan, Mooore, Jason H., Andrew J. Saykin, Li Shen), In NeuroInformatics, Springer, volume 16, 2018. |
[68] | Representing Graphs as Bag of Vertices and Partitions for Graph Classification (Mansurul Bhuiyan, Mohammad Al Hasan), In Data Science and Engineering, 2018. |
[67] | Android Malware Detection via Graphlet Sampling (Tianchong Gao, Wei Peng, Devkishen Sisodia, Tanay Kumar Saha, Feng Li, Mohammad Al Hasan), In IEEE Transactions on Mobile Computing, volume , 2018. |
[66] | Triangle counting in large networks: a review (Mohammad Al Hasan, Vachik Dave), In Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Wiley Periodicals, Inc, volume 8, 2018. (e1226) |
[65] | A Combined Representation Learning Approach for Better Job and Skill Recommendation (Vachik S. Dave, Baichuan Zhang, Mohammad Al Hasan, Khalifeh AlJadda, Mohammed Korayem), In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, ACM, 2018. |
[64] | Predicting interval time for reciprocal link creation using survival analysis (Vachik S. Dave, Mohammad Al Hasan, Baichuan Zhang, Chandan K Reddy), In Social Network Analysis and Mining, Springer, volume 8, 2018. |
[63] | Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications (Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan), In Social Network Analysis and Mining, Springer, volume 8, 2018. |
[62] | Predicting Virality on Networks Using Local Graphlet Frequency Distribution (Andrew Baas, Frances Hung, Hao Sha, Mohammad Al Hasan, George Mohler), In In Proc. of BigData Conference, Seattle, WA, December 10-13, 2018. |
[61] | Feature Selection for Classification under Anonymity Constraint (Baichuan Zhang, Noman Mohammed, Vachik Dave, Mohammad Al Hasan), In Transactions on Data Privacy, volume 10, 2017. |
[60] | Predicting Zillow Estimation Error Using Linear Regression and Gradient Boosting (Darshan Sangani, Kelby Erickson, Mohammad Al Hasan), In 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017. |
[59] | CON-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec (Tanay Kumar Saha, Shafiq Joty, Mohammad Al Hasan), In ECML-PKDD, 2017. |
[58] | Regularized and Retrofitted Models for Learning Sentence Representation with Context (Tanay Kumar Saha, Shafiq Joty, Naeemul Hassan, Mohammad Al Hasan), In Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM), Singapore, Research Track Full Paper, 2017. |
[57] | How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation (Vachik Dave, Mohammad Al Hasan, Chandan Reddy), In The 11th International AAAI Conference on Web and Social Media (ICWSM), 2017. |
[56] | E-CLoG: Counting Edge-Centric Local Graphlets (Vachik Dave, Nesreen Ahmed, Mohammad Al Hasan), In Proceedings of the 2017 IEEE International Conference on Big Data (Big Data), IEEE Computer Society, 2017. |
[55] | RAVEN: Web-based Smart Home Exploration System Through Interactive Pattern Discovery (Mansurul Alam Bhuiyan, Mohammad Al Hasan), In Proceedings of the 2017 IEEE International Conference on Big Data (Big Data), IEEE Computer Society, 2017. |
[54] | A Distributed k-Core Decomposition Algorithm on Spark (Aritra Mandal, Mohammad Al Hasan), In Proceedings of the 2017 IEEE International Conference on Big Data (Big Data), IEEE Computer Society, 2017. |
[53] | Name Disambiguation in Anonymized Graphs using Network Embedding (Baichuan Zhang, Mohammad Al Hasan), In Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM), Singapore, Research Track Full Paper, 2017. |
[52] | Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs (Baichuan Zhang, Sutanay Choudhury, Mohammad Al Hasan, Xia Ning, Khushbu Agarwal, Sumit Purohit, Paola Gabriela Pesntez Cabrera), In SDM Workshop on Mining Networks and Graphs (MNG 2016), 2016. |
[51] | Bayesian Non-Exhaustive Classification - A Case Study: Online Name Disambiguation Using Temporal Record Streams (Baichuan Zhang, Murat Dundar, Mohammad Al Hasan), In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM), Indianapolis, Indiana, Research Track Full Paper, 2016. |
[50] | Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins using Frequent Subgraph Mining Method (Tanay Kumar Saha, Ataur Katebi, Mohammad Al Hasan), In 15th International Workshop on Data Mining in Bioinformatics (BIOKDD'16), 2016. |
[49] | Link Prediction in Dynamic Networks Using Graphlet (Mahmudur Rahman, Mohammad Al Hasan), In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I, 2016. |
[48] | Methods and Applications of Network Sampling (Mohammad Al Hasan), Chapter in Optimization Challenges in Complex, Networked and Risky Systems (Aparna Gupta, Agostino Capponi, eds.), 2016. |
[47] | Incremental Method for Spectral Clustering of Increasing Orders (Pin-Yu Chen, Baichuan Zhang, Mohammad Al Hasan, Alfred O Hero), In KDD Workshop on Mining and Learning with Graphs (MLG 2016) (Selected for contributed talk (2 out of 29)), 2016. |
[46] | Interactive knowledge discovery from hidden data through sampling of frequent patterns (Mansurul Alam Bhuiyan, Mohammad Al Hasan), In Statistical Analysis and Data Mining: The ASA Data Science Journal, 2016. |
[45] | PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery (Mansurul Alam Bhuiyan, Mohammad Al Hasan), In Proceedings of the 2016 IEEE International Conference on Big Data (Big Data), IEEE Computer Society, 2016. |
[44] | Waiting to be Sold: Prediction of Time-Dependent House Selling Probability (Mansurul Alam Bhuiyan, Mohammad Al Hasan), In IEEE DSAA: Third International Conference on Data Science and Advanced Analytics, 2016. |
[43] | Batch-mode active learning for technology-assisted review (Tanay Kumar Saha, Mohammad Al Hasan, Chandler Burgess, Md Ahsan Habib, Jeff Johnson), In Big Data (Big Data), 2015 IEEE International Conference on, 2015. |
[42] | An Iterative MapReduce Based Frequent Subgraph Mining Algorithm (Mansurul Alam Bhuiyan, Mohammad Al Hasan), In IEEE Trans. Knowl. Data Eng., volume 27, 2015. |
[41] | Name disambiguation from link data in a collaboration graph using temporal and topological features (Tanay Kumar Saha, Baichuan Zhang, Mohammad Al Hasan), In Social Netw. Analys. Mining, volume 5, 2015. |
[40] | FS^3: A sampling based method for top-k frequent subgraph mining (Tanay Kumar Saha, Mohammad Al Hasan), In Statistical Analysis and Data Mining, volume 8, 2015. |
[39] | TopCom: Index for Shortest Distance Query in Directed Graph (Vachik Dave, Mohammad Al Hasan), In Database and Expert Systems Applications - 26th International Conference, DEXA 2015, Valencia, Spain, September 1-4, 2015, Proceedings, Part I, 2015. |
[38] | Finding Network Motifs Using MCMC Sampling (Tanay Kumar Saha, Mohammad Al Hasan), In Complex Networks VI - Proceedings of the 6th Workshop on Complex Networks CompleNet 2015, New York City, USA, March 25-27, 2015, 2015. |
[37] | Graft: An Efficient Graphlet Counting Method for Large Graph Analysis (Mahmudur Rahman, Mansurul Alam Bhuiyan, Mohammad Al Hasan), In IEEE Trans. Knowl. Data Eng., volume 26, 2014. |
[36] | GUISE: a uniform sampler for constructing frequency histogram of graphlets (Mahmudur Rahman, Mansurul Alam Bhuiyan, Mahmuda Rahman, Mohammad Al Hasan), In Knowl. Inf. Syst., volume 38, 2014. |
[35] | Sampling Triples from Restricted Networks using MCMC Strategy (Mahmudur Rahman, Mohammad Al Hasan), In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014, 2014. |
[34] | FS^3: A sampling based method for top-k frequent subgraph mining (Tanay Kumar Saha, Mohammad Al Hasan), In 2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014, 2014. |
[33] | FSM-H: Frequent Subgraph Mining Algorithm in Hadoop (Mansurul Alam Bhuiyan, Mohammad Al Hasan), In 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27 - July 2, 2014, 2014. |
[32] | Name disambiguation from link data in a collaboration graph (Baichuan Zhang, Tanay Kumar Saha, Mohammad Al Hasan), In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014, 2014. |
[31] | Frequent Pattern Mining Algorithms: A Survey (Charu C. Aggarwal, Mansurul Alam Bhuiyan, Mohammad Al Hasan), Chapter in Frequent Pattern Mining, 2014. |
[30] | Discrete Sequence Clustering (Mohammad Al Hasan), Chapter in Data Classification: Algorithms and Applications, 2014. |
[29] | Auto-constructing dataflow models from system execution traces (Manjula Peiris, Mohammad Al Hasan, James H. Hill), In 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013, Paderborn, Germany, June 19-21, 2013, 2013. |
[28] | Characterization of the dynamics and interactions of domain names and name server (Mansurul Alam Bhuiyan, Aziz Mohaisen, Yannis Labrou, Mohammad Al Hasan), In IEEE Conference on Communications and Network Security, CNS 2013, National Harbor, MD, USA, October 14-16, 2013, 2013. |
[27] | On segmentation of eCommerce queries (Nish Parikh, Prasad Sriram, Mohammad Al Hasan), In 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, 2013. |
[26] | Approximate triangle counting algorithms on multi-cores (Mahmudur Rahman, Mohammad Al Hasan), In Proceedings of the 2013 IEEE International Conference on Big Data, 6-9 October 2013, Santa Clara, CA, USA, 2013. |
[25] | Clustering Biological Data (Chandan K. Reddy, Mohammad Al Hasan, Mohammed J. Zaki), Chapter in Data Clustering: Algorithms and Applications, 2013. |
[24] | GUISE: Uniform Sampling of Graphlets for Large Graph Analysis (Mansurul Alam Bhuiyan, Mahmudur Rahman, Mahmuda Rahman, Mohammad Al Hasan), In 12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012, 2012. |
[23] | GRAFT: an approximate graphlet counting algorithm for large graph analysis (Mahmudur Rahman, Mansurul Alam Bhuiyan, Mohammad Al Hasan), In 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, 2012. |
[22] | Interactive pattern mining on hidden data: a sampling-based solution (Mansurul Alam Bhuiyan, Snehasis Mukhopadhyay, Mohammad Al Hasan), In 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, 2012. |
[21] | SimClus: an effective algorithm for clustering with a lower bound on similarity (Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki), In Knowl. Inf. Syst., volume 28, 2011. |
[20] | Query suggestion for E-commerce sites (Mohammad Al Hasan, Nish Parikh, Gyanit Singh, Neel Sundaresan), In Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011, 2011. |
[19] | A Survey of Link Prediction in Social Networks (Mohammad Al Hasan, Mohammed J. Zaki), Chapter in Social Network Data Analytics, 2011. |
[18] | Mining interesting subgraphs by output space sampling (Mohammad Al Hasan), In SIGKDD Explorations, volume 12, 2010. |
[17] | SONNET: Efficient Approximate Nearest Neighbor Using Multi-core (Mohammad Al Hasan, Hilmi Yildirim, Abhirup Chakraborty), In ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010, 2010. |
[16] | Summarization in Pattern Mining (Mohammad Al Hasan), Chapter in Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009. |
[15] | Output Space Sampling for Graph Patterns (Mohammad Al Hasan, Mohammed J. Zaki), In PVLDB, volume 2, 2009. |
[14] | Robust partitional clustering by outlier and density insensitive seeding (Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Mohammed J. Zaki), In Pattern Recognition Letters, volume 30, 2009. |
[13] | SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters (Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki), In Knowl. Inf. Syst., volume 21, 2009. |
[12] | MUSK: Uniform Sampling of k Maximal Patterns (Mohammad Al Hasan, Mohammed Javeed Zaki), In Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA, 2009. |
[11] | Clustering with Lower Bound on Similarity (Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi, Mohammed J. Zaki), In Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings (Best Paper Award), 2009. |
[10] | COA: finding novel patents through text analysis (Mohammad Al Hasan, W. Scott Spangler, Thomas D. Griffin, Alfredo Alba), In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, 2009. |
[9] | ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns (Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Jérémy Besson, Mohammed J. Zaki), In Statistical Analysis and Data Mining, volume 1, 2008. |
[8] | Optimal placement of stereo sensors (Mohammad Al Hasan, Krishna K. Ramachandran, John E. Mitchell), In Optimization Letters, volume 2, 2008. |
[7] | An integrated, generic approach to pattern mining: data mining template library (Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed Javeed Zaki), In Data Min. Knowl. Discov., volume 17, 2008. |
[6] | SPARCL: Efficient and Effective Shape-Based Clustering (Vineet Chaoji, Mohammad Al Hasan, Saeed Salem, Mohammed J. Zaki), In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, 2008. |
[5] | ORIGAMI: Mining Representative Orthogonal Graph Patterns (Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Jérémy Besson, Mohammed Javeed Zaki), In Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA, 2007. |
[4] | Assessing patent value through advanced text analysis (Mohammad Al Hasan, W. Scott Spangler), In The Eleventh International Conference on Artificial Intelligence and Law, Proceedings of the Conference, June 4-8, 2007, Stanford Law School, Stanford, California, USA, 2007. |
[3] | Link prediction using supervised learning (Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, Mohammed Zaki), In In Proc. of SDM 06 workshop on Link Analysis, Counterterrorism and Security, 2006. |
[2] | Towards Generic Pattern Mining (Mohammed Javeed Zaki, Nilanjana De, Feng Gao, Nagender Parimi, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem), In Pattern Recognition and Machine Intelligence, First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005, Proceedings, 2005. |
[1] | Towards Generic Pattern Mining (Mohammed Javeed Zaki, Nagender Parimi, Nilanjana De, Feng Gao, Benjarath Phoophakdee, Joe Urban, Vineet Chaoji, Mohammad Al Hasan, Saeed Salem), In Formal Concept Analysis, Third International Conference, ICFCA 2005, Lens, France, February 14-18, 2005, Proceedings, 2005. |
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