Mohammad Al Hasan
According to our database^{1},
Mohammad Al Hasan
authored at least 80 papers
between 2005 and 2018.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis OtherLinks
Homepage:

at cs.iupui.edu
On csauthors.net:
Bibliography
2018
Triangle counting in large networks: a review.
Wiley Interdisc. Rew.: Data Mining and Knowledge Discovery, 2018
Predicting interval time for reciprocal link creation using survival analysis.
Social Netw. Analys. Mining, 2018
Incremental eigenpair computation for graph Laplacian matrices: theory and applications.
Social Netw. Analys. Mining, 2018
GPU Accelerated Browser for Neuroimaging Genomics.
Neuroinformatics, 2018
Representing Graphs as Bag of Vertices and Partitions for Graph Classification.
Data Science and Engineering, 2018
NeuralBrane: Neural Bayesian Personalized Ranking for Attributed Network Embedding.
CoRR, 2018
Models for Capturing Temporal Smoothness in Evolving Networks for Learning Latent Representation of Nodes.
CoRR, 2018
DyLink2Vec: Effective Feature Representation for Link Prediction in Dynamic Networks.
CoRR, 2018
Incremental Eigenpair Computation for Graph Laplacian Matrices: Theory and Applications.
CoRR, 2018
2017
Feature Selection for Classification under Anonymity Constraint.
Transactions on Data Privacy, 2017
Bayesian NonExhaustive Classification for Active Online Name Disambiguation.
CoRR, 2017
Name Entity Disambiguation in Anonymized Graphs using Link Analysis: A Network Embedding based Solution.
CoRR, 2017
ConS2V: A Generic Framework for Incorporating ExtraSentential Context into Sen2Vec.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Predicting Zillow Estimation Error Using Linear Regression and Gradient Boosting.
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017
How Fast Will You Get a Response? Predicting Interval Time for Reciprocal Link Creation.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017
Name Disambiguation in Anonymized Graphs using Network Embedding.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
Regularized and Retrofitted models for Learning Sentence Representation with Context.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017
A distributed kcore decomposition algorithm on spark.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017
ECLoG: Counting edgecentric local graphlets.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017
RAVEN: Webbased smart home exploration system through interactive pattern discovery.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017
2016
Interactive knowledge discovery from hidden data through sampling of frequent patterns.
Statistical Analysis and Data Mining, 2016
Bayesian NonExhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams.
CoRR, 2016
Trust from the past: Bayesian Personalized Ranking based Link Prediction in Knowledge Graphs.
CoRR, 2016
DisS2V: Discourse Informed Sen2Vec.
CoRR, 2016
TopCom: Index for Shortest Distance Query in Directed Graph.
CoRR, 2016
PRIIME: A Generic Framework for Interactive Personalized Interesting Pattern Discovery.
CoRR, 2016
Link Prediction in Dynamic Networks Using Graphlet.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2016
Waiting to Be Sold: Prediction of TimeDependent House Selling Probability.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
ACTS: Extracting Android App topologiCal signature through graphleT Sampling.
Proceedings of the 2016 IEEE Conference on Communications and Network Security, 2016
Bayesian NonExhaustive Classification A Case Study: Online Name Disambiguation using Temporal Record Streams.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016
Interactive personalized interesting pattern discovery.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016
PRIIME: A generic framework for interactive personalized interesting pattern discovery.
Proceedings of the 2016 IEEE International Conference on Big Data, 2016
2015
An Iterative MapReduce Based Frequent Subgraph Mining Algorithm.
IEEE Trans. Knowl. Data Eng., 2015
Name disambiguation from link data in a collaboration graph using temporal and topological features.
Social Netw. Analys. Mining, 2015
FS^{3}: A sampling based method for topk frequent subgraph mining.
Statistical Analysis and Data Mining, 2015
Feature Selection for Classification under Anonymity Constraint.
CoRR, 2015
Incremental Method for Spectral Clustering of Increasing Orders.
CoRR, 2015
TopCom: Index for Shortest Distance Query in Directed Graph.
Proceedings of the Database and Expert Systems Applications, 2015
Finding Network Motifs Using MCMC Sampling.
Proceedings of the Complex Networks VI, 2015
Batchmode active learning for technologyassisted review.
Proceedings of the 2015 IEEE International Conference on Big Data, 2015
2014
Graft: An Efficient Graphlet Counting Method for Large Graph Analysis.
IEEE Trans. Knowl. Data Eng., 2014
GUISE: a uniform sampler for constructing frequency histogram of graphlets.
Knowl. Inf. Syst., 2014
Name Disambiguation from link data in a collaboration graph.
CoRR, 2014
FS^3: A Sampling based method for topk Frequent Subgraph Mining.
CoRR, 2014
Sampling Triples from Restricted Networks using MCMC Strategy.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014
FS^{3}: A sampling based method for topk frequent subgraph mining.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014
FSMH: Frequent Subgraph Mining Algorithm in Hadoop.
Proceedings of the 2014 IEEE International Congress on Big Data, Anchorage, AK, USA, June 27, 2014
Name disambiguation from link data in a collaboration graph.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014
Frequent Pattern Mining Algorithms: A Survey.
Proceedings of the Frequent Pattern Mining, 2014
Discrete Sequence Clustering.
Proceedings of the Data Classification: Algorithms and Applications, 2014
2013
MIRAGE: An Iterative MapReduce based FrequentSubgraph Mining Algorithm.
CoRR, 2013
Autoconstructing dataflow models from system execution traces.
Proceedings of the 16th IEEE International Symposium on Object/Component/ServiceOriented RealTime Distributed Computing, 2013
Characterization of the dynamics and interactions of domain names and name server.
Proceedings of the IEEE Conference on Communications and Network Security, 2013
On segmentation of eCommerce queries.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013
Approximate triangle counting algorithms on multicores.
Proceedings of the 2013 IEEE International Conference on Big Data, 2013
Clustering Biological Data.
Data Clustering: Algorithms and Applications, 2013
2012
Biological knowledge discovery and data mining.
Scientific Programming, 2012
GUISE: Uniform Sampling of Graphlets for Large Graph Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
GRAFT: an approximate graphlet counting algorithm for large graph analysis.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
Interactive pattern mining on hidden data: a samplingbased solution.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
SimClus: an effective algorithm for clustering with a lower bound on similarity.
Knowl. Inf. Syst., 2011
Query suggestion for Ecommerce sites.
Proceedings of the Forth International Conference on Web Search and Web Data Mining, 2011
A Survey of Link Prediction in Social Networks.
Proceedings of the Social Network Data Analytics, 2011
2010
Mining interesting subgraphs by output space sampling.
SIGKDD Explorations, 2010
SONNET: Efficient Approximate Nearest Neighbor Using Multicore.
Proceedings of the ICDM 2010, 2010
2009
Summarization in Pattern Mining.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009
Output Space Sampling for Graph Patterns.
PVLDB, 2009
Robust partitional clustering by outlier and density insensitive seeding.
Pattern Recognition Letters, 2009
SPARCL: an effective and efficient algorithm for mining arbitrary shapebased clusters.
Knowl. Inf. Syst., 2009
MUSK: Uniform Sampling of k Maximal Patterns.
Proceedings of the SIAM International Conference on Data Mining, 2009
Clustering with Lower Bound on Similarity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009
COA: finding novel patents through text analysis.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
2008
ORIGAMI: A Novel and Effective Approach for Mining Representative Orthogonal Graph Patterns.
Statistical Analysis and Data Mining, 2008
Optimal placement of stereo sensors.
Optimization Letters, 2008
An integrated, generic approach to pattern mining: data mining template library.
Data Min. Knowl. Discov., 2008
SPARCL: Efficient and Effective ShapeBased Clustering.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
ORIGAMI: Mining Representative Orthogonal Graph Patterns.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007
Assessing patent value through advanced text analysis.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Law, 2007
2005
Towards Generic Pattern Mining.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005
Towards Generic Pattern Mining.
Proceedings of the Formal Concept Analysis, Third International Conference, 2005