Mohammad Al Hasan

According to our database1, Mohammad Al Hasan
  • authored at least 75 papers between 2005 and 2018.
  • has a "Dijkstra number"2 of four.

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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

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 Non-Exhaustive Classification for Active Online Name Disambiguation.
CoRR, 2017

Name Entity Disambiguation in Anonymized Graphs using Link Analysis: A Network Embedding based Solution.
CoRR, 2017

Con-S2V: A Generic Framework for Incorporating Extra-Sentential 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 k-core decomposition algorithm on spark.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

E-CLoG: Counting edge-centric local graphlets.
Proceedings of the 2017 IEEE International Conference on Big Data, BigData 2017, 2017

RAVEN: Web-based 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 Non-Exhaustive 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

Dis-S2V: 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 Time-Dependent 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 Non-Exhaustive 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

FS3: A sampling based method for top-k 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

Batch-mode active learning for technology-assisted 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 top-k 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

FS3: A sampling based method for top-k frequent subgraph mining.
Proceedings of the 2014 IEEE International Conference on Big Data, 2014

FSM-H: 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

Auto-constructing dataflow models from system execution traces.
Proceedings of the 16th IEEE International Symposium on Object/Component/Service-Oriented Real-Time 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 multi-cores.
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 sampling-based 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 E-commerce 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 Multi-core.
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 shape-based 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 Shape-Based 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


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