Raj Bhatnagar

Orcid: 0000-0001-5222-6800

According to our database1, Raj Bhatnagar authored at least 63 papers between 1985 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
Community Detection in Large Directed Graphs.
Proceedings of the Big Data Analytics - 10th International Conference, 2022

2021
A k-MCST Based Algorithm for Discovering Core-Periphery Structures in Graphs.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2018
Authorship Attribution By Consensus Among Multiple Features.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2016
Core Periphery Structures in Weighted Graphs Using Greedy Growth.
Proceedings of the 2016 IEEE/WIC/ACM International Conference on Web Intelligence, 2016

Interactive Pattern Exploration: Securely Mining Distributed Databases.
Proceedings of the Human Interface and the Management of Information: Information, Design and Interaction, 2016

2015
Author Attribution of Email Messages Using Parse-Tree Features.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2015

Data driven predictive analytics for a spindle's health.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Learning relaxed 3-clusters from pairs of related datasets.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

An efficient map-reduce algorithm for computing formal concepts from binary data.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Design of Algorithms for Big Data Analytics.
Proceedings of the Big Data Analytics - 4th International Conference, 2015

2014
New Algorithm for Clustering Distributed Data Using k-Means.
Comput. Informatics, 2014

A Negotiation Protocol for Optimal Decision Making by Collaborating Agents.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

CBOF: Cohesiveness-Based Outlier Factor A Novel Definition of Outlier-ness.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Graph Clustering Using Mutual K-Nearest Neighbors.
Proceedings of the Active Media Technology - 10th International Conference, 2014

eSelect: Effective Subspace Selection for Detection of Anomalies.
Proceedings of the Active Media Technology - 10th International Conference, 2014

Outlier Analysis Using Lattice of Contiguous Subspaces.
Proceedings of the Active Media Technology - 10th International Conference, 2014

2013
A Biclustering Algorithm to Discover Functional Modules from ENCODE ChIP-Seq Data.
Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2012
Mining low-variance biclusters to discover coregulation modules in sequencing datasets.
Sci. Program., 2012

Clustering algorithm based on mutual K-nearest neighbor relationships.
Stat. Anal. Data Min., 2012

Learning Cost-Sensitive Rules for Non-forced Classification.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011
Similarity measures in formal concept analysis.
Ann. Math. Artif. Intell., 2011

Algorithm for low-variance biclusters to identify coregulation modules in sequencing datasets.
Proceedings of the Tenth International Workshop on Data Mining in Bioinformatics, 2011

A game theoretic framework for heterogenous information network clustering.
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

Discovery of Versatile Temporal Subspace Patterns in 3-D Datasets.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

2010
A novel framework for detecting maximally banded matrices in binary data.
Stat. Anal. Data Min., 2010

Mining Maximally Banded Matrices in Binary Data.
Proceedings of the SIAM International Conference on Data Mining, 2010

An Integrative Scoring Approach to Identify Transcriptional Regulations Controlling Lung Surfactant Homeostasis.
Proceedings of the ICDMW 2010, 2010

Algorithm for Discovering Low-Variance 3-Clusters from Real-Valued Datasets.
Proceedings of the ICDM 2010, 2010

2009
Mining Subspace Clusters from Distributed Data.
Proceedings of the Computer and Information Science 2009 [outstanding papers from the 8th ACIS/IEEE International Conference on Computer and Information Science, 2009

Evaluation of properties in the transition of capability based agent organization.
Web Intell. Agent Syst., 2009

Discovering Substantial Distinctions among Incremental Bi-Clusters.
Proceedings of the SIAM International Conference on Data Mining, 2009

Algorithm for Concept Traversal in Multiple Databases.
Proceedings of the ICTAI 2009, 2009

2008
An Algorithm for Mining Weighted Dense Maximal 1-Complete Regions.
Proceedings of the Data Mining: Foundations and Practice, 2008

A Lattice-Based Model for Recommender Systems.
Proceedings of the 20th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2008), 2008

Detecting significant distinguishing sets among bi-clusters.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

An effective algorithm for mining 3-clusters in vertically partitioned data.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
Agents for Integrating Distributed Data for Complex Computations.
Comput. Informatics, 2007

Covariance matrix computations with federated databases.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Identifying Functional Binding Motifs of Tumor Protein p53 Using Support Vector Machines.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Tracking recurrent concept drift in streaming data using ensemble classifiers.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

An Efficient Constraint-Based Closed Set Mining Algorithm.
Proceedings of the Sixth International Conference on Machine Learning and Applications, 2007

Discovery of Temporal Dependencies between Frequent Patterns in Multivariate Time Series.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2007

Efficient and Scalable Motif Discovery using Graph-based Search.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

Knowledge Sharing Between Agents in a Transitioning Organization.
Proceedings of the Coordination, 2007

2006
Secure algorithm for finding K nearest neighbors in distributed databases.
Proceedings of the 2006 International Conference on Privacy, 2006

Efficiently Mining Maximal 1-complete Regions from Dense Datasets.
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Properties of Capability Based Agent Organization Transition.
Proceedings of the 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, 2006

2005
An Algorithm for Well Structured Subspace Clusters.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

Learning Deterministic Finite Automata to Capture Sequential Patterns.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

A Levelwise Search Algorithm for Interesting Subspace Clusters.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2003
Mining Temporal Databases for Subsequence Patterns.
Proceedings of the Third SIAM International Conference on Data Mining, 2003

Finding Global Paths in Distributed and Mobile Subgraphs.
Proceedings of the MAICS 2003, 2003

Symbol Grounding and Cognitive Architecture.
Proceedings of the MAICS 2003, 2003

Mining high dimensional data for classifier knowledge.
Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Decomposable Algorithms for Computing Minimum Spanning Tree.
Proceedings of the Distributed Computing, 2003

2002
Learning Automata to Capture Temporal Patterns.
Proceedings of the 2002 International Conference on Machine Learning and Applications, 2002

2001
Mining microarray expression data for classifier gene-cores.
Proceedings of the ACM SIGKDD Workshop on Data Mining in Bioinformatics (BIOKDD 2001), 2001

1997
A hybrid system for target classification.
Pattern Recognit. Lett., 1997

Pattern Discovery in Distributed Databases.
Proceedings of the Fourteenth National Conference on Artificial Intelligence and Ninth Innovative Applications of Artificial Intelligence Conference, 1997

1995
Context Hypothesization Using Probabilistic Knowledge.
Fundam. Informaticae, 1995

1994
Exploratory Model Building.
Proceedings of the UAI '94: Proceedings of the Tenth Annual Conference on Uncertainty in Artificial Intelligence, 1994

1993
Structural and Probabilistic Knowledge for Abductive Reasoning.
IEEE Trans. Pattern Anal. Mach. Intell., 1993

1985
Handling Uncertain Information: A Review of Numeric and Non-numeric Methods.
Proceedings of the UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, 1985


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