M. Narasimha Murty

Affiliations:
  • ERNET, India


According to our database1, M. Narasimha Murty authored at least 169 papers between 1980 and 2021.

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

Timeline

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Bibliography

2021
Higher-Order Relations Skew Link Prediction in Graphs.
CoRR, 2021

The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs.
CoRR, 2021

Decentralised Approach for Multi Agent Path Finding.
CoRR, 2021

A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021

2020
Multi Agent Path Finding with Awareness for Spatially Extended Agents.
CoRR, 2020

Robust Hierarchical Graph Classification with Subgraph Attention.
CoRR, 2020

Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization.
CoRR, 2020

Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs.
CoRR, 2020

Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Neural Cross-Domain Collaborative Filtering with Shared Entities.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Negative Sampling for Hyperlink Prediction in Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

C3MM: Clique-Closure based Hyperlink Prediction.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Self-supervised Hierarchical Graph Neural Network for Graph Representation.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Outlier Detection: Techniques and Applications - A Data Mining Perspective
Intelligent Systems Reference Library 155, Springer, ISBN: 978-3-030-05125-9, 2019

Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks.
CoRR, 2019

TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering.
Proceedings of the Pattern Recognition and Machine Intelligence, 2019

SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Outlier Aware Network Embedding for Attributed Networks.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
SaC2Vec: Information Network Representation with Structure and Content.
CoRR, 2018

FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks.
CoRR, 2018

Fusing Diversity in Recommendations in Heterogeneous Information Networks.
Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, 2018

A Generic Axiomatic Characterization for Measuring Influence in Social Networks.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

DivGroup: A Diversified Approach to Divide Collection of Patterns into Uniform Groups.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Overlap-Robust Decision Boundary Learning for Within-Network Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A Generic Axiomatic Characterization of Centrality Measures in Social Network.
CoRR, 2017

Grouping Students for Maximizing Learning from Peers.
Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016
Detecting outliers in categorical data through rough clustering.
Nat. Comput., 2016

Classification by majority voting in feature partitions.
Int. J. Inf. Decis. Sci., 2016

Finding Influential Institutions in Bibliographic Information Networks.
CoRR, 2016

Structural Neighborhood Based Classification of Nodes in a Network.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Axioms to characterize efficient incremental clustering.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Effective feature selection technique for text classification.
Int. J. Data Min. Model. Manag., 2015

Extended Conflict-Based Search for the Convoy Movement Problem.
IEEE Intell. Syst., 2015

Autoregressive Model for Users' Retweeting Profiles.
Proceedings of the Social Informatics - 7th International Conference, 2015

2014
A ranking-based algorithm for detection of outliers in categorical data.
Int. J. Hybrid Intell. Syst., 2014

Characterizing Temporal Anomalies in Evolving Networks.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

2013
Compression Schemes for Mining Large Datasets - A Machine Learning Perspective
Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-1-4471-5606-2, 2013

Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory.
IEEE Trans. Knowl. Data Eng., 2013

Combining heterogeneous classifiers for relational databases.
Pattern Recognit., 2013

Tasklets: enabling end user programming of web widgets.
Int. J. Web Eng. Technol., 2013

A Rough Clustering Algorithm for Mining Outliers in Categorical Data.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Mining Anomalous Sub-graphs in Graph Data Using Non-negative Matrix Factorization.
Proceedings of the Pattern Recognition and Machine Intelligence, 2013

Classification and Outlier Detection Based on Topic Based Pattern Synthesis.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Optimizing F-measure with non-convex loss and sparse linear classifiers.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Using Discriminative Phrases for Text Categorization.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

2012
Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification
CoRR, 2012

Efficient classification using phrases generated by topic models.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

On the relation between K-means and PLSA.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

A Regularized Linear Classifier for Effective Text Classification.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Obtaining Single Document Summaries Using Latent Dirichlet Allocation.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Hybrid Online Non-negative Matrix Factorization for Clustering of Documents.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Discriminative Feature Analysis and Selection for Document Classification.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Feature Selection for Unsupervised Learning.
Proceedings of the Neural Information Processing - 19th International Conference, 2012

Unsupervised feature selection for outlier detection in categorical data using mutual information.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

An algorithm for mining outliers in categorical data through ranking.
Proceedings of the 12th International Conference on Hybrid Intelligent Systems, 2012

2011
Pattern Recognition - An Algorithmic Approach.
Undergraduate Topics in Computer Science, Springer, ISBN: 978-0-85729-495-1, 2011

A fast quasi-Newton method for semi-supervised SVM.
Pattern Recognit., 2011

Mining Sentiments from Songs Using Latent Dirichlet Allocation.
Proceedings of the Advances in Intelligent Data Analysis X - 10th International Symposium, 2011

2010
Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification.
Pattern Recognit., 2010

EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification.
Proceedings of the Simulated Evolution and Learning - 8th International Conference, 2010

On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

A Practical Heterogeneous Classifier for Relational Databases.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Maximum Entropy Model Based Classification with Feature Selection.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Multiagent Based Large Data Clustering Scheme for Data Mining Applications.
Proceedings of the Active Media Technology, 6th International Conference, 2010

2009
Pattern Synthesis for Nonparametric Pattern Recognition.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Scalable Non-Parametric Methods for Large Data Sets.
Proceedings of the Encyclopedia of Data Warehousing and Mining, Second Edition (4 Volumes), 2009

Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition.
Int. J. Data Min. Model. Manag., 2009

Speeding up AdaBoost Classifier with Random Projection.
Proceedings of the Seventh International Conference on Advances in Pattern Recognition, 2009

RACK: RApid clustering using K-means algorithm.
Proceedings of the IEEE Conference on Automation Science and Engineering, 2009

Multiagent Systems for Large Data Clustering.
Proceedings of the Data Mining and Multi-agent Integration, 2009

2008
Clustering Based on Genetic Algorithms.
Proceedings of the Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases, 2008

Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

2007
Classification of run-length encoded binary data.
Pattern Recognit., 2007

Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals.
Inf. Sci., 2007

Rough Core Vector Clustering.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

Hybrid Approaches for Clustering.
Proceedings of the Pattern Recognition and Machine Intelligence, 2007

A Cooperative Game Theoretic Approach to Prototype Selection.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Core Vector Clustering.
Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

A fast linear separability test by projection of positive points on subspaces.
Proceedings of the Machine Learning, 2007

Focused crawling with scalable ordinal regression solvers.
Proceedings of the Machine Learning, 2007

Multiclass core vector machine.
Proceedings of the Machine Learning, 2007

A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

Cluster Based Training for Scaling Non-linear Support Vector Machines.
Proceedings of the 2007 International Conference on Computing: Theory and Applications (ICCTA 2007), 2007

2006
Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification.
Pattern Recognit. Lett., 2006

Rough set based incremental clustering of interval data.
Pattern Recognit. Lett., 2006

Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification.
Pattern Recognit., 2006

Efficient median based clustering and classification techniques for protein sequences.
Pattern Anal. Appl., 2006

On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions
CoRR, 2006

Clustering based large margin classification: a scalable approach using SOCP formulation.
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006

Bimodal Projection-based Features for Pattern Classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

Scalable non-linear Support Vector Machine using hierarchical clustering.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Cluster Based Core Vector Machine.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005
Overlap pattern synthesis with an efficient nearest neighbor classifier.
Pattern Recognit., 2005

Rough support vector clustering.
Pattern Recognit., 2005

Efficient pattern synthesis for nearest neighbour classifier.
Pattern Recognit., 2005

Uniqueness of Nonextensive entropy under Renyi's Recipe
CoRR, 2005

An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

An Efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique for Partitioning Large Data Sets.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

On Simultaneous Selection of Prototypes and Features in Large Data.
Proceedings of the Pattern Recognition and Machine Intelligence, 2005

Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework.
Proceedings of the 2005 IEEE International Symposium on Information Theory, 2005

Analysis of Leader based Clustering Algorithms for Pattern Classification.
Proceedings of the 2nd Indian International Conference on Artificial Intelligence, 2005

Information theoretic justification of Boltzmann selection and its generalization to Tsallis case.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2004
Leaders - Subleaders: An efficient hierarchical clustering algorithm for large data sets.
Pattern Recognit. Lett., 2004

Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification.
Inf. Fusion, 2004

An Efficient Hierarchical Clustering Algorithm for Protein Sequences.
Int. J. Comput. Sci. Appl., 2004

A rough fuzzy approach to web usage categorization.
Fuzzy Sets Syst., 2004

Generalized Evolutionary Algorithm based on Tsallis Statistics
CoRR, 2004

A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

An Efficient Technique for Protein Sequence Clustering and Classification.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Hybrid Learning Scheme for Data Mining Applications.
Proceedings of the 4th International Conference on Hybrid Intelligent Systems (HIS 2004), 2004

Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2004

2003
Citation prediction using time series approach KDD Cup 2003 (task 1).
SIGKDD Explor., 2003

Tree structure for efficient data mining using rough sets.
Pattern Recognit. Lett., 2003

An adaptive rough fuzzy single pass algorithm for clustering large data sets.
Pattern Recognit., 2003

Knowledge-based association rule mining using AND-OR taxonomies.
Knowl. Based Syst., 2003

SimpleSVM.
Proceedings of the Machine Learning, 2003

Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
An incremental prototype set building technique.
Pattern Recognit., 2002

Adapting Question Answering Techniques to the Web.
Proceedings of the 2002 Language Engineering Conference (LEC 2002), 2002

Geometric SVM: A Fast and Intuitive SVM Algorithm.
Proceedings of the 16th International Conference on Pattern Recognition, 2002

Jigsawing : A Method to Create Virtual Examples in OCR data.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

Selection by parts: 'selection in two episodes' in evolutionary algorithms.
Proceedings of the 2002 Congress on Evolutionary Computation, 2002

2001
Bootstrapping for efficient handwritten digit recognition.
Pattern Recognit., 2001

Rule prepending and post-pruning approach to incremental learning of decision lists.
Pattern Recognit., 2001

Comparison of genetic algorithm based prototype selection schemes.
Pattern Recognit., 2001

Efficient clustering of large data sets.
Pattern Recognit., 2001

An incremental data mining algorithm for compact realization of prototypes.
Pattern Recognit., 2001

Multi-dimensional semantic clustering of large databases for association rule mining.
Pattern Recognit., 2001

Use of Multi-category Proximal SVM for Data Set Reduction.
Proceedings of the Hybrid Information Systems, 2001

2000
A stochastic connectionist approach for global optimization with application to pattern clustering.
IEEE Trans. Syst. Man Cybern. Part B, 2000

Kohonen's SOM with cache.
Pattern Recognit., 2000

Scalable, Distributed and Dynamic Mining of Association Rules.
Proceedings of the High Performance Computing, 2000

On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection.
Proceedings of the Real-World Applications of Evolutionary Computing, 2000

1999
Genetic K-means algorithm.
IEEE Trans. Syst. Man Cybern. Part B, 1999

Off-line signature verification using genetically optimized weighted features.
Pattern Recognit., 1999

Data Clustering: A Review.
ACM Comput. Surv., 1999

1997
Growing subspace pattern recognition methods and their neural-network models.
IEEE Trans. Neural Networks, 1997

Hebbian learning subspace method: A new approach.
Pattern Recognit., 1997

1996
Extended subspace methods of pattern recognition.
Pattern Recognit. Lett., 1996

1995
A genetic approach for selection of (near-) optimal subsets of principal components for discrimination.
Pattern Recognit. Lett., 1995

Optimal thresholding using multi-state stochastic connectionist approach.
Pattern Recognit. Lett., 1995

Knowledge-based clustering scheme for collection management and retrieval of library books.
Pattern Recognit., 1995

1994
Clustering with evolution strategies.
Pattern Recognit., 1994

Knowledge-based clustering approach for data abstraction.
Knowl. Based Syst., 1994

A deductive clustering approach.
J. Exp. Theor. Artif. Intell., 1994

1993
A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm.
Pattern Recognit. Lett., 1993

Belief revision - an axiomatic approach.
J. Intell. Robotic Syst., 1993

1991
A knowledge-based clustering algorithm.
Pattern Recognit. Lett., 1991

Clustering algorithms for library comparison.
Pattern Recognit., 1991

A new data structure HC-expression for learning from examples.
Pattern Recognit., 1991

Incremental learning from examples using HC-expressions.
Pattern Recognit., 1991

Model-theoretic approach to clustering.
Knowl. Based Syst., 1991

1990
A divisive scheme for constructing minimal spanning trees in coordinate space.
Pattern Recognit. Lett., 1990

A comparison between conceptual clustering and conventional clustering.
Pattern Recognit., 1990

A knowledge-based approach to pattern generation.
Pattern Recognit., 1990

The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment.
Proceedings of the Algorithmic Learning Theory, First International Workshop, 1990

1989
Structural aspects of semantic-directed clusters.
Pattern Recognit., 1989

Knowledge-based learning using Conceptual Transformers.
J. Intell. Robotic Syst., 1989

A logical model for decision-making.
Proceedings of the IEEE International Conference on Systems, 1989

1987
A knowledge-based clustering scheme.
Pattern Recognit. Lett., 1987

Pattern Clustering: An Artificial Intelligence Approach.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987

1981
A hybrid clustering procedure for concentric and chain-like clusters.
Int. J. Parallel Program., 1981

1980
A computationally efficient technique for data-clustering.
Pattern Recognit., 1980


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