Publications

Index

2020
[78] Dynamic topic modeling of the COVID-19 Twitter narrative among US governors and cabinet executives (, , , ), In arXiv preprint arXiv:2004.11692, . [bibtex] [pdf]
2019
[77] Investigate Transitions into Drug Addiction through Text Mining of Reddit Data (, , , , ), In Proceedings of 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, ACM, . [bibtex] [pdf]
[76] Dirichlet Process Gaussian Mixture for Active Online Name Disambiguation by Particle Filter (, , , ), In Proceedings of ACM Joint Conference on Digital Libraries (JCDL), ACM, . [bibtex] [pdf]
[75] Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins using Frequent Subgraph Mining (, , , ), In IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE, . [bibtex] [pdf]
[74] Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding (, , , ), In Data Science and Engineering, volume 4, . [bibtex] [pdf]
[73]Neural-Brane: An Inductive Approach for Attributed Network Embedding (, , , ), In 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2019, Vancouver, Canada, . [bibtex]
[72] Triangle Completion Time Prediction using Time-conserving Embedding (, ), In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2019, Wurzburg, Germany, September 16-20, 2019, Proceedings, Part I, . [bibtex] [pdf]
[71]Into the Reverie: Exploration of the Dream Market (, , , , , , ), In 2019 IEEE International Conference on Big Data, Los Angeles, CA, USA, . [bibtex]
[70]Network Alignment using Graphlet Signature and High Order Proximity (, , ), In Proc. of Fifth International Conference on Machine Learning, Optimization, and Data Science, LOD 2019, Tuscany, Italy, September 10-13, . [bibtex]
2018
[69] GPU Accelerated Browser for Neuroimaging Genomics (, , , , , , , , , ), In NeuroInformatics, Springer, volume 16, . [bibtex] [pdf]
[68] Representing Graphs as Bag of Vertices and Partitions for Graph Classification (, ), In Data Science and Engineering, . [bibtex] [pdf] [doi]
[67] Android Malware Detection via Graphlet Sampling (, , , , , ), In IEEE Transactions on Mobile Computing, volume , . [bibtex] [pdf] [doi]
[66] Triangle counting in large networks: a review (, ), In Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, Wiley Periodicals, Inc, volume 8, . (e1226) [bibtex] [pdf] [doi]
[65] A Combined Representation Learning Approach for Better Job and Skill Recommendation (, , , , ), In Proceedings of the 27th ACM International Conference on Information and Knowledge Management, ACM, . [bibtex] [pdf] [doi]
[64] Predicting interval time for reciprocal link creation using survival analysis (, , , ), In Social Network Analysis and Mining, Springer, volume 8, . [bibtex] [pdf]
[63] Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications (, , ), In Social Network Analysis and Mining, Springer, volume 8, . [bibtex] [pdf]
[62] Predicting Virality on Networks Using Local Graphlet Frequency Distribution (, , , , ), In In Proc. of BigData Conference, Seattle, WA, December 10-13, . [bibtex] [pdf]
2017
[61] Feature Selection for Classification under Anonymity Constraint (, , , ), In Transactions on Data Privacy, volume 10, . [bibtex] [pdf]
[60] Predicting Zillow Estimation Error Using Linear Regression and Gradient Boosting (, , ), In 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, . [bibtex] [pdf]
[59] CON-S2V: A Generic Framework for Incorporating Extra-Sentential Context into Sen2Vec (, , ), In ECML-PKDD, . [bibtex] [pdf]
[58] Regularized and Retrofitted Models for Learning Sentence Representation with Context (, , , ), In Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM), Singapore, Research Track Full Paper, . [bibtex] [pdf]
[57]How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation (, , ), In The 11th International AAAI Conference on Web and Social Media (ICWSM), . [bibtex]
[56] E-CLoG: Counting Edge-Centric Local Graphlets (, , ), In Proceedings of the 2017 IEEE International Conference on Big Data (Big Data), IEEE Computer Society, . [bibtex] [pdf]
[55] RAVEN: Web-based Smart Home Exploration System Through Interactive Pattern Discovery (, ), In Proceedings of the 2017 IEEE International Conference on Big Data (Big Data), IEEE Computer Society, . [bibtex] [pdf]
[54] A Distributed k-Core Decomposition Algorithm on Spark (, ), In Proceedings of the 2017 IEEE International Conference on Big Data (Big Data), IEEE Computer Society, . [bibtex] [pdf]
[53] Name Disambiguation in Anonymized Graphs using Network Embedding (, ), In Proceedings of the 26th ACM International on Conference on Information and Knowledge Management (CIKM), Singapore, Research Track Full Paper, . [bibtex] [pdf]
2016
[52] Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs (, , , , , , ), In SDM Workshop on Mining Networks and Graphs (MNG 2016), . [bibtex] [pdf]
[51] Bayesian Non-Exhaustive Classification - A Case Study: Online Name Disambiguation Using Temporal Record Streams (, , ), In Proceedings of the 25th ACM International on Conference on Information and Knowledge Management (CIKM), Indianapolis, Indiana, Research Track Full Paper, . [bibtex] [pdf]
[50] Discovery of Functional Motifs from the Interface Region of Oligomeric Proteins using Frequent Subgraph Mining Method (, , ), In 15th International Workshop on Data Mining in Bioinformatics (BIOKDD'16), . [bibtex] [pdf]
[49] Link Prediction in Dynamic Networks Using Graphlet (, ), In Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part I, . [bibtex] [pdf] [doi]
[48] Methods and Applications of Network Sampling (), Chapter in Optimization Challenges in Complex, Networked and Risky Systems (Aparna Gupta, Agostino Capponi, eds.), . [bibtex] [pdf] [doi]
[47] Incremental Method for Spectral Clustering of Increasing Orders (, , , ), In KDD Workshop on Mining and Learning with Graphs (MLG 2016) (Selected for contributed talk (2 out of 29)), . [bibtex] [pdf]
[46] Interactive knowledge discovery from hidden data through sampling of frequent patterns (, ), In Statistical Analysis and Data Mining: The ASA Data Science Journal, . [bibtex] [pdf]
[45] PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery (, ), In Proceedings of the 2016 IEEE International Conference on Big Data (Big Data), IEEE Computer Society, . [bibtex] [pdf]
[44] Waiting to be Sold: Prediction of Time-Dependent House Selling Probability (, ), In IEEE DSAA: Third International Conference on Data Science and Advanced Analytics, . [bibtex] [pdf]
2015
[43] Batch-mode active learning for technology-assisted review (, , , , ), In Big Data (Big Data), 2015 IEEE International Conference on, . [bibtex] [pdf]
[42] An Iterative MapReduce Based Frequent Subgraph Mining Algorithm (, ), In IEEE Trans. Knowl. Data Eng., volume 27, . [bibtex] [pdf] [doi]
[41] Name disambiguation from link data in a collaboration graph using temporal and topological features (, , ), In Social Netw. Analys. Mining, volume 5, . [bibtex] [pdf] [doi]
[40] FS^3: A sampling based method for top-k frequent subgraph mining (, ), In Statistical Analysis and Data Mining, volume 8, . [bibtex] [pdf] [doi]
[39] TopCom: Index for Shortest Distance Query in Directed Graph (, ), In Database and Expert Systems Applications - 26th International Conference, DEXA 2015, Valencia, Spain, September 1-4, 2015, Proceedings, Part I, . [bibtex] [pdf] [doi]
[38] Finding Network Motifs Using MCMC Sampling (, ), In Complex Networks VI - Proceedings of the 6th Workshop on Complex Networks CompleNet 2015, New York City, USA, March 25-27, 2015, . [bibtex] [pdf] [doi]
2014
[37] Graft: An Efficient Graphlet Counting Method for Large Graph Analysis (, , ), In IEEE Trans. Knowl. Data Eng., volume 26, . [bibtex] [pdf] [doi]
[36] GUISE: a uniform sampler for constructing frequency histogram of graphlets (, , , ), In Knowl. Inf. Syst., volume 38, . [bibtex] [pdf] [doi]
[35] Sampling Triples from Restricted Networks using MCMC Strategy (, ), In Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014, . [bibtex] [pdf] [doi]
[34] FS^3: A sampling based method for top-k frequent subgraph mining (, ), In 2014 IEEE International Conference on Big Data, Big Data 2014, Washington, DC, USA, October 27-30, 2014, . [bibtex] [pdf] [doi]
[33] FSM-H: Frequent Subgraph Mining Algorithm in Hadoop (, ), In 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27 - July 2, 2014, . [bibtex] [pdf] [doi]
[32] Name disambiguation from link data in a collaboration graph (, , ), In 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014, . [bibtex] [pdf] [doi]
[31] Frequent Pattern Mining Algorithms: A Survey (, , ), Chapter in Frequent Pattern Mining, . [bibtex] [pdf] [doi]
[30] Discrete Sequence Clustering (), Chapter in Data Classification: Algorithms and Applications, . [bibtex] [pdf]
2013
[29] Auto-constructing dataflow models from system execution traces (, , ), In 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing, ISORC 2013, Paderborn, Germany, June 19-21, 2013, . [bibtex] [pdf] [doi]
[28] Characterization of the dynamics and interactions of domain names and name server (, , , ), In IEEE Conference on Communications and Network Security, CNS 2013, National Harbor, MD, USA, October 14-16, 2013, . [bibtex] [pdf] [doi]
[27] On segmentation of eCommerce queries (, , ), In 22nd ACM International Conference on Information and Knowledge Management, CIKM'13, San Francisco, CA, USA, October 27 - November 1, 2013, . [bibtex] [pdf] [doi]
[26] Approximate triangle counting algorithms on multi-cores (, ), In Proceedings of the 2013 IEEE International Conference on Big Data, 6-9 October 2013, Santa Clara, CA, USA, . [bibtex] [pdf] [doi]
[25]Clustering Biological Data (, , ), Chapter in Data Clustering: Algorithms and Applications, . [bibtex]
2012
[24] GUISE: Uniform Sampling of Graphlets for Large Graph Analysis (, , , ), In 12th IEEE International Conference on Data Mining, ICDM 2012, Brussels, Belgium, December 10-13, 2012, . [bibtex] [pdf] [doi]
[23] GRAFT: an approximate graphlet counting algorithm for large graph analysis (, , ), In 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, . [bibtex] [pdf] [doi]
[22] Interactive pattern mining on hidden data: a sampling-based solution (, , ), In 21st ACM International Conference on Information and Knowledge Management, CIKM'12, Maui, HI, USA, October 29 - November 02, 2012, . [bibtex] [pdf] [doi]
2011
[21] SimClus: an effective algorithm for clustering with a lower bound on similarity (, , ), In Knowl. Inf. Syst., volume 28, . [bibtex] [pdf] [doi]
[20] Query suggestion for E-commerce sites (, , , ), In Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011, . [bibtex] [pdf] [doi]
[19] A Survey of Link Prediction in Social Networks (, ), Chapter in Social Network Data Analytics, . [bibtex] [pdf] [doi]
2010
[18] Mining interesting subgraphs by output space sampling (), In SIGKDD Explorations, volume 12, . [bibtex] [pdf] [doi]
[17] SONNET: Efficient Approximate Nearest Neighbor Using Multi-core (, , ), In ICDM 2010, The 10th IEEE International Conference on Data Mining, Sydney, Australia, 14-17 December 2010, . [bibtex] [pdf] [doi]
2009
[16] Summarization in Pattern Mining (), Chapter in Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), . [bibtex] [pdf]
[15] Output Space Sampling for Graph Patterns (, ), In PVLDB, volume 2, . [bibtex] [pdf]
[14] Robust partitional clustering by outlier and density insensitive seeding (, , , ), In Pattern Recognition Letters, volume 30, . [bibtex] [pdf] [doi]
[13] SPARCL: an effective and efficient algorithm for mining arbitrary shape-based clusters (, , , ), In Knowl. Inf. Syst., volume 21, . [bibtex] [pdf] [doi]
[12] MUSK: Uniform Sampling of k Maximal Patterns (, ), In Proceedings of the SIAM International Conference on Data Mining, SDM 2009, April 30 - May 2, 2009, Sparks, Nevada, USA, . [bibtex] [pdf] [doi]
[11] Clustering with Lower Bound on Similarity (, , , ), In Advances in Knowledge Discovery and Data Mining, 13th Pacific-Asia Conference, PAKDD 2009, Bangkok, Thailand, April 27-30, 2009, Proceedings (Best Paper Award), . [bibtex] [pdf] [doi]
[10] COA: finding novel patents through text analysis (, , , ), In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28 - July 1, 2009, . [bibtex] [pdf] [doi]
2008
[9] ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns (, , , , ), In Statistical Analysis and Data Mining, volume 1, . [bibtex] [pdf] [doi]
[8] Optimal placement of stereo sensors (, , ), In Optimization Letters, volume 2, . [bibtex] [pdf] [doi]
[7] An integrated, generic approach to pattern mining: data mining template library (, , , ), In Data Min. Knowl. Discov., volume 17, . [bibtex] [pdf] [doi]
[6] SPARCL: Efficient and Effective Shape-Based Clustering (, , , ), In Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), December 15-19, 2008, Pisa, Italy, . [bibtex] [pdf] [doi]
2007
[5] ORIGAMI: Mining Representative Orthogonal Graph Patterns (, , , , ), In Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), October 28-31, 2007, Omaha, Nebraska, USA, . [bibtex] [pdf] [doi]
[4] Assessing patent value through advanced text analysis (, ), In The Eleventh International Conference on Artificial Intelligence and Law, Proceedings of the Conference, June 4-8, 2007, Stanford Law School, Stanford, California, USA, . [bibtex] [pdf] [doi]
2006
[3]Link prediction using supervised learning (, , , ), In In Proc. of SDM 06 workshop on Link Analysis, Counterterrorism and Security, . [bibtex]
2005
[2] Towards Generic Pattern Mining (, , , , , , , , ), In Pattern Recognition and Machine Intelligence, First International Conference, PReMI 2005, Kolkata, India, December 20-22, 2005, Proceedings, . [bibtex] [pdf] [doi]
[1] Towards Generic Pattern Mining (, , , , , , , , ), In Formal Concept Analysis, Third International Conference, ICFCA 2005, Lens, France, February 14-18, 2005, Proceedings, . [bibtex] [pdf] [doi]