M. Narasimha Murty

171 papers A* 11A 3B 16C 6Misc 1Journal 84Unranked 40

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Learning Dynamic Representations in Large Language Models for Evolving Data Streams. ICPR (5) Ashish Srivastava, Shalabh Bhatnagar, M. Narasimha Murty, Jagannathan Ramanujam
2021	—	`conf`	A Deep Hybrid Pooling Architecture for Graph Classification with Hierarchical Attention. PAKDD (1) Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
2021	J	`jnl`	Decentralised Approach for Multi Agent Path Finding. CoRR Shyni Thomas, M. Narasimha Murty
2021	J	`jnl`	Higher-Order Relations Skew Link Prediction in Graphs. CoRR Govind Sharma, Aditya Challa, Paarth Gupta, M. Narasimha Murty
2021	J	`jnl`	The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs. CoRR Govind Sharma, Swyam Prakash Singh, V. Susheela Devi, M. Narasimha Murty
2020	A*	`conf`	C3MM: Clique-Closure based Hyperlink Prediction. IJCAI Govind Sharma, Prasanna Patil, M. Narasimha Murty
2020	—	`conf`	GAMMA: A Graph and Multi-view Memory Attention Mechanism for Top-N Heterogeneous Recommendation. PAKDD (1) Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2020	—	`conf`	GRAM-SMOT: Top-N Personalized Bundle Recommendation via Graph Attention Mechanism and Submodular Optimization. ECML/PKDD (3) M. Vijaikumar, Shirish K. Shevade, M. Narasimha Murty
2020	—	`conf`	Hypergraph Attention Isomorphism Network by Learning Line Graph Expansion. IEEE BigData Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty
2020	A	`conf`	Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. ECAI Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty
2020	J	`jnl`	Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description. CoRR Sambaran Bandyopadhyay, Saley Vishal Vivek, M. Narasimha Murty
2020	J	`jnl`	Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs. CoRR Sambaran Bandyopadhyay, Kishalay Das, M. Narasimha Murty
2020	J	`jnl`	Multi Agent Path Finding with Awareness for Spatially Extended Agents. CoRR Shyni Thomas, Dipti Deodhare, M. Narasimha Murty
2020	—	`conf`	Negative Sampling for Hyperlink Prediction in Networks. PAKDD (2) Prasanna Patil, Govind Sharma, M. Narasimha Murty
2020	—	`conf`	Neural Cross-Domain Collaborative Filtering with Shared Entities. ECML/PKDD (1) Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2020	A	`conf`	Outlier Resistant Unsupervised Deep Architectures for Attributed Network Embedding. WSDM Sambaran Bandyopadhyay, Lokesh N, Saley Vishal Vivek, M. Narasimha Murty
2020	J	`jnl`	Robust Hierarchical Graph Classification with Subgraph Attention. CoRR Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
2020	—	`conf`	Self-supervised Hierarchical Graph Neural Network for Graph Representation. IEEE BigData Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
2020	J	`jnl`	Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization. CoRR Sambaran Bandyopadhyay, Manasvi Aggarwal, M. Narasimha Murty
2019	J	`jnl`	Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks. CoRR Sambaran Bandyopadhyay, Anirban Biswas, M. Narasimha Murty, Ramasuri Narayanam
2019	J	`jnl`	Neural Cross-Domain Collaborative Filtering with Shared Entities. CoRR Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2019	A*	`conf`	Outlier Aware Network Embedding for Attributed Networks. AAAI Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty
2019	—	`book`	Outlier Detection: Techniques and Applications - A Data Mining Perspective N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2019	—	`conf`	SoRecGAT: Leveraging Graph Attention Mechanism for Top-N Social Recommendation. ECML/PKDD (1) Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2019	—	`conf`	TagEmbedSVD: Leveraging Tag Embeddings for Cross-Domain Collaborative Filtering. PReMI (2) Vijaikumar M, Shirish K. Shevade, M. Narasimha Murty
2018	B	`conf`	A Generic Axiomatic Characterization for Measuring Influence in Social Networks. ICPR Sambaran Bandyopadhyay, Ramasuri Narayanam, M. Narasimha Murty
2018	J	`jnl`	FSCNMF: Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks. CoRR Sambaran Bandyopadhyay, Harsh Kara, Aswin Kannan, M. Narasimha Murty
2018	A	`conf`	Fusing Diversity in Recommendations in Heterogeneous Information Networks. WSDM Sharad Nandanwar, Aayush Moroney, M. Narasimha Murty
2018	J	`jnl`	Outlier Aware Network Embedding for Attributed Networks. CoRR Sambaran Bandyopadhyay, Lokesh Nagalapatti, M. Narasimha Murty
2018	A*	`conf`	Overlap-Robust Decision Boundary Learning for Within-Network Classification. AAAI Sharad Nandanwar, M. Narasimha Murty
2018	J	`jnl`	SaC2Vec: Information Network Representation with Structure and Content. CoRR Sambaran Bandyopadhyay, Harsh Kara, Anirban Biswas, M. Narasimha Murty
2017	J	`jnl`	A Generic Axiomatic Characterization of Centrality Measures in Social Network. CoRR Sambaran Bandyopadhyay, M. Narasimha Murty, Ramasuri Narayanam
2016	B	`conf`	Axioms to characterize efficient incremental clustering. ICPR Sambaran Bandyopadhyay, M. Narasimha Murty
2016	J	`jnl`	Classification by majority voting in feature partitions. Int. J. Inf. Decis. Sci. Hari Seetha, M. Narasimha Murty, R. Saravanan
2016	J	`jnl`	Detecting outliers in categorical data through rough clustering. Nat. Comput. N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2016	J	`jnl`	Finding Influential Institutions in Bibliographic Information Networks. CoRR Anubhav Gupta, M. Narasimha Murty
2016	A*	`conf`	Structural Neighborhood Based Classification of Nodes in a Network. KDD Sharad Nandanwar, M. Narasimha Murty
2015	—	`conf`	Autoregressive Model for Users' Retweeting Profiles. SocInfo Soniya Rangnani, V. Susheela Devi, M. Narasimha Murty
2015	J	`jnl`	Effective feature selection technique for text classification. Int. J. Data Min. Model. Manag. Hari Seetha, M. Narasimha Murty, R. Saravanan
2015	J	`jnl`	Extended Conflict-Based Search for the Convoy Movement Problem. IEEE Intell. Syst. Shyni Thomas, Dipti Deodhare, M. Narasimha Murty
2015	—	`book`	Introduction to Pattern Recognition and Machine Learning M. Narasimha Murty, V. Susheela Devi
2014	J	`jnl`	A ranking-based algorithm for detection of outliers in categorical data. Int. J. Hybrid Intell. Syst. N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2014	B	`conf`	Average Overlap for Clustering Incomplete Data Using Symmetric Non-negative Matrix Factorization. ICPR Sneha Chaudhari, M. Narasimha Murty
2014	—	`conf`	Characterizing Temporal Anomalies in Evolving Networks. PAKDD (1) N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2014	—	`ed.`	Multi-disciplinary Trends in Artificial Intelligence - 8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014. Proceedings MIWAI M. Narasimha Murty, Xiangjian He, Chillarige Raghavendra Rao, Paul Weng
2013	J	`jnl`	Combining heterogeneous classifiers for relational databases. Pattern Recognit. Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
2013	—	`book`	Compression Schemes for Mining Large Datasets - A Machine Learning Perspective T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya
2013	J	`jnl`	Novel Biobjective Clustering (BiGC) Based on Cooperative Game Theory. IEEE Trans. Knowl. Data Eng. Vikas K. Garg, Y. Narahari, M. Narasimha Murty
2013	B	`conf`	Optimizing F-measure with non-convex loss and sparse linear classifiers. IJCNN Punya Murthy Chinta, Balamurugan P., Shirish K. Shevade, M. Narasimha Murty
2013	—	`ed.`	Pattern Recognition and Machine Intelligence - 5th International Conference, PReMI 2013, Kolkata, India, December 10-14, 2013. Proceedings PReMI Pradipta Maji, Ashish Ghosh, M. Narasimha Murty, Kuntal Ghosh, Sankar K. Pal
2013	J	`jnl`	Tasklets: enabling end user programming of web widgets. Int. J. Web Eng. Technol. Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
2013	—	`conf`	Using Discriminative Phrases for Text Categorization. ICONIP (2) Sreya Dey, M. Narasimha Murty
2012	—	`conf`	A Regularized Linear Classifier for Effective Text Classification. ICONIP (2) Sharad Nandanwar, M. Narasimha Murty
2012	C	`conf`	An algorithm for mining outliers in categorical data through ranking. HIS N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2012	—	`conf`	Discriminative Feature Analysis and Selection for Document Classification. ICONIP (1) Punya Murthy Chinta, M. Narasimha Murty
2012	B	`conf`	Efficient classification using phrases generated by topic models. ICPR Deepak Gujraniya, M. Narasimha Murty
2012	—	`conf`	Feature Selection for Unsupervised Learning. ICONIP (3) Jyoti Ranjan Adhikary, M. Narasimha Murty
2012	—	`conf`	Hybrid Online Non-negative Matrix Factorization for Clustering of Documents. ICONIP (1) Vinod Jadhao, M. Narasimha Murty
2012	J	`jnl`	Maximum Entropy with Maximum J-Divergence Discrimination for Text Classification CoRR D. M. V. Satya Sriram, Gaurav Pandey, Debarghya Ghoshdastidar, Ambedkar Dukkipati, M. Narasimha Murty
2012	—	`conf`	Obtaining Single Document Summaries Using Latent Dirichlet Allocation. ICONIP (4) Karthik Nagesh, M. Narasimha Murty
2012	B	`conf`	On the relation between K-means and PLSA. ICPR Arghya Roy Chaudhuri, M. Narasimha Murty
2012	C	`conf`	Unsupervised feature selection for outlier detection in categorical data using mutual information. HIS N. N. R. Ranga Suri, M. Narasimha Murty, Gopalasamy Athithan
2011	J	`jnl`	A fast quasi-Newton method for semi-supervised SVM. Pattern Recognit. I. Sathish Reddy, Shirish K. Shevade, M. Narasimha Murty
2011	B	`conf`	Mining Sentiments from Songs Using Latent Dirichlet Allocation. IDA Govind Sharma, M. Narasimha Murty
2011	—	`book`	Pattern Recognition - An Algorithmic Approach. M. Narasimha Murty, V. Susheela Devi
2010	B	`conf`	A Practical Heterogeneous Classifier for Relational Databases. ICPR Geetha Manjunath, M. Narasimha Murty, Dinkar Sitaram
2010	—	`conf`	EPIC: Efficient Integration of Partitional Clustering Algorithms for Classification. SEAL Vikas K. Garg, M. Narasimha Murty
2010	B	`conf`	Maximum Entropy Model Based Classification with Feature Selection. ICPR Ambedkar Dukkipati, Abhay Kumar Yadav, M. Narasimha Murty
2010	—	`conf`	Multiagent Based Large Data Clustering Scheme for Data Mining Applications. AMT T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya
2010	—	`conf`	On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. PAKDD (1) R. Arun, V. Suresh, C. E. Veni Madhavan, M. Narasimha Murty
2010	J	`jnl`	Two-level k-means clustering algorithm for k-tau relationship establishment and linear-time classification. Pattern Recognit. Radha Chitta, M. Narasimha Murty
2009	J	`jnl`	Feature subspace SVMs (FS-SVMs) for high dimensional handwritten digit recognition. Int. J. Data Min. Model. Manag. Vikas K. Garg, M. Narasimha Murty
2009	—	`ch.`	Multiagent Systems for Large Data Clustering. Data Mining and Multi-agent Integration T. Ravindra Babu, M. Narasimha Murty, S. V. Subrahmanya
2009	—	`ch.`	Pattern Synthesis for Nonparametric Pattern Recognition. Encyclopedia of Data Warehousing and Mining P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2009	—	`conf`	RACK: RApid clustering using K-means algorithm. CASE Vikas K. Garg, M. Narasimha Murty
2009	—	`ch.`	Scalable Non-Parametric Methods for Large Data Sets. Encyclopedia of Data Warehousing and Mining V. Suresh Babu, P. Viswanath, M. Narasimha Murty
2009	—	`conf`	Speeding up AdaBoost Classifier with Random Projection. ICAPR Biswajit Paul, Gopalasamy Athithan, M. Narasimha Murty
2008	—	`ch.`	Clustering Based on Genetic Algorithms. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases M. Narasimha Murty, Rashmin Babaria, Chiranjib Bhattacharyya
2008	—	`conf`	Stream-Close: Fast Mining of Closed Frequent Itemsets in High Speed Data Streams. ICDM Workshops B. N. Ranganath, M. Narasimha Murty
2007	—	`conf`	A Cooperative Game Theoretic Approach to Prototype Selection. PKDD Ramasuri Narayanam, V. Santosh Srinivas, M. Narasimha Murty
2007	—	`conf`	A Unified Approach to Encoding and Classification Using Bimodal Projection-Based Features. ICCTA Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty
2007	A*	`conf`	A fast linear separability test by projection of positive points on subspaces. ICML A. P. Yogananda, M. Narasimha Murty, Lakshmi Gopal
2007	J	`jnl`	Classification of run-length encoded binary data. Pattern Recognit. T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
2007	—	`conf`	Cluster Based Training for Scaling Non-linear Support Vector Machines. ICCTA S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2007	—	`conf`	Core Vector Clustering. IICAI Seshikanth Varma, S. Asharaf, M. Narasimha Murty
2007	A*	`conf`	Focused crawling with scalable ordinal regression solvers. ICML Rashmin Babaria, J. Saketha Nath, S. Krishnan, K. R. Sivaramakrishnan, Chiranjib Bhattacharyya, M. Narasimha Murty
2007	J	`jnl`	Gelfand-Yaglom-Perez theorem for generalized relative entropy functionals. Inf. Sci. Ambedkar Dukkipati, Shalabh Bhatnagar, M. Narasimha Murty
2007	—	`conf`	Hybrid Approaches for Clustering. PReMI Laxmi Kankanala, M. Narasimha Murty
2007	A*	`conf`	Multiclass core vector machine. ICML S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2007	—	`conf`	Rough Core Vector Clustering. PReMI Seshikanth Varma, S. Asharaf, M. Narasimha Murty
2006	B	`conf`	Bimodal Projection-based Features for Pattern Classification. IJCNN Dipti Deodhare, M. Vidyasagar, M. Narasimha Murty
2006	A*	`conf`	Cluster Based Core Vector Machine. ICDM Asharaf S., M. Narasimha Murty, Shirish K. Shevade
2006	A*	`conf`	Clustering based large margin classification: a scalable approach using SOCP formulation. KDD J. Saketha Nath, Chiranjib Bhattacharyya, M. Narasimha Murty
2006	J	`jnl`	Efficient bottom-up hybrid hierarchical clustering techniques for protein sequence classification. Pattern Recognit. P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2006	J	`jnl`	Efficient median based clustering and classification techniques for protein sequences. Pattern Anal. Appl. P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2006	J	`jnl`	On Measure Theoretic definitions of Generalized Information Measures and Maximum Entropy Prescriptions CoRR Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2006	J	`jnl`	Partition based pattern synthesis technique with efficient algorithms for nearest neighbor classification. Pattern Recognit. Lett. P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2006	J	`jnl`	Rough set based incremental clustering of interval data. Pattern Recognit. Lett. S. Asharaf, M. Narasimha Murty, Shirish K. Shevade
2006	—	`conf`	Scalable non-linear Support Vector Machine using hierarchical clustering. ICPR (1) S. Asharaf, M. Narasimha Murty
2005	—	`conf`	An Efficient Hybrid Hierarchical Agglomerative Clustering (HHAC) Technique for Partitioning Large Data Sets. PReMI P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2005	—	`conf`	An Efficient Parzen-Window Based Network Intrusion Detector Using a Pattern Synthesis Technique. PReMI P. Viswanath, M. Narasimha Murty, Satish Kambala
2005	—	`conf`	Analysis of Leader based Clustering Algorithms for Pattern Classification. IICAI P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2005	J	`jnl`	Efficient pattern synthesis for nearest neighbour classifier. Pattern Recognit. Monu Agrawal, Neha Gupta, R. Shreelekshmi, M. Narasimha Murty
2005	B	`conf`	Information theoretic justification of Boltzmann selection and its generalization to Tsallis case. Congress on Evolutionary Computation Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2005	—	`conf`	On Simultaneous Selection of Prototypes and Features in Large Data. PReMI T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
2005	J	`jnl`	Overlap pattern synthesis with an efficient nearest neighbor classifier. Pattern Recognit. P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2005	J	`jnl`	Rough support vector clustering. Pattern Recognit. S. Asharaf, Shirish K. Shevade, M. Narasimha Murty
2005	J	`jnl`	Uniqueness of Nonextensive entropy under Renyi's Recipe CoRR Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004	—	`conf`	A Pattern Synthesis Technique with an Efficient Nearest Neighbor Classifier for Binary Pattern Recognition. ICPR (4) P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2004	J	`jnl`	A rough fuzzy approach to web usage categorization. Fuzzy Sets Syst. S. Asharaf, M. Narasimha Murty
2004	C	`conf`	Adaptive Boosting with Leader based Learners for Classification of Large Handwritten Data. HIS T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
2004	J	`jnl`	An Efficient Hierarchical Clustering Algorithm for Protein Sequences. Int. J. Comput. Sci. Appl. P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2004	—	`conf`	An Efficient Technique for Protein Sequence Clustering and Classification. ICPR (2) P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2004	J	`jnl`	Cauchy Annealing Schedule: An Annealing Schedule for Boltzmann Selection Scheme in Evolutionary Algorithms CoRR Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004	B	`conf`	Cauchy annealing schedule: an annealing schedule for Boltzmann selection scheme in evolutionary algorithms. IEEE Congress on Evolutionary Computation Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004	J	`jnl`	Fusion of multiple approximate nearest neighbor classifiers for fast and efficient classification. Inf. Fusion P. Viswanath, M. Narasimha Murty, Shalabh Bhatnagar
2004	J	`jnl`	Generalized Evolutionary Algorithm based on Tsallis Statistics CoRR Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2004	C	`conf`	Hybrid Learning Scheme for Data Mining Applications. HIS T. Ravindra Babu, M. Narasimha Murty, Vijay K. Agrawal
2004	J	`jnl`	Leaders - Subleaders: An efficient hierarchical clustering algorithm for large data sets. Pattern Recognit. Lett. P. A. Vijaya, M. Narasimha Murty, D. K. Subramanian
2003	J	`jnl`	An adaptive rough fuzzy single pass algorithm for clustering large data sets. Pattern Recognit. S. Asharaf, M. Narasimha Murty
2003	J	`jnl`	Citation prediction using time series approach KDD Cup 2003 (task 1). SIGKDD Explor. J. N. Manjunatha, K. R. Sivaramakrishnan, Raghavendra Kumar Pandey, M. Narasimha Murty
2003	J	`jnl`	Knowledge-based association rule mining using AND-OR taxonomies. Knowl. Based Syst. D. K. Subramanian, V. S. Ananthanarayana, M. Narasimha Murty
2003	B	`conf`	Quotient evolutionary space: abstraction of evolutionary process w.r.t macroscopic properties. IEEE Congress on Evolutionary Computation Ambedkar Dukkipati, M. Narasimha Murty, Shalabh Bhatnagar
2003	A*	`conf`	SimpleSVM. ICML S. V. N. Vishwanathan, Alexander J. Smola, M. Narasimha Murty
2003	J	`jnl`	Tree structure for efficient data mining using rough sets. Pattern Recognit. Lett. V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2002	—	`conf`	Adapting Question Answering Techniques to the Web. Language Engineering Conference Jignashu Parikh, M. Narasimha Murty
2002	J	`jnl`	An incremental prototype set building technique. Pattern Recognit. V. Susheela Devi, M. Narasimha Murty
2002	—	`conf`	Geometric SVM: A Fast and Intuitive SVM Algorithm. ICPR (2) S. V. N. Vishwanathan, M. Narasimha Murty
2002	C	`conf`	Jigsawing : A Method to Create Virtual Examples in OCR data. HIS S. V. N. Vishwanathan, M. Narasimha Murty
2002	B	`conf`	Selection by parts: 'selection in two episodes' in evolutionary algorithms. IEEE Congress on Evolutionary Computation Ambedkar Dukkipati, M. Narasimha Murty
2001	J	`jnl`	An incremental data mining algorithm for compact realization of prototypes. Pattern Recognit. V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001	J	`jnl`	Bootstrapping for efficient handwritten digit recognition. Pattern Recognit. V. Vijaya Saradhi, M. Narasimha Murty
2001	J	`jnl`	Comparison of genetic algorithm based prototype selection schemes. Pattern Recognit. T. Ravindra Babu, M. Narasimha Murty
2001	J	`jnl`	Efficient clustering of large data sets. Pattern Recognit. V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001	J	`jnl`	Multi-dimensional semantic clustering of large databases for association rule mining. Pattern Recognit. V. S. Ananthanarayana, M. Narasimha Murty, D. K. Subramanian
2001	J	`jnl`	Rule prepending and post-pruning approach to incremental learning of decision lists. Pattern Recognit. K. R. K. Murthy, S. Sathiya Keerthi, M. Narasimha Murty
2001	C	`conf`	Use of Multi-category Proximal SVM for Data Set Reduction. HIS S. V. N. Vishwanathan, M. Narasimha Murty
2000	J	`jnl`	A stochastic connectionist approach for global optimization with application to pattern clustering. IEEE Trans. Syst. Man Cybern. Part B G. Phanendra Babu, M. Narasimha Murty, S. Sathiya Keerthi
2000	J	`jnl`	Kohonen's SOM with cache. Pattern Recognit. S. V. N. Vishwanathan, M. Narasimha Murty
2000	—	`conf`	On the Scalability of Genetic Algorithms to Very Large-Scale Feature Selection. EvoWorkshops Andreas Moser, M. Narasimha Murty
2000	Misc	`conf`	Scalable, Distributed and Dynamic Mining of Association Rules. HiPC V. S. Ananthanarayana, D. K. Subramanian, M. Narasimha Murty
1999	J	`jnl`	Data Clustering: A Review. ACM Comput. Surv. Anil K. Jain, M. Narasimha Murty, Patrick J. Flynn
1999	J	`jnl`	Genetic K-means algorithm. IEEE Trans. Syst. Man Cybern. Part B Krishna Kummamuru, M. Narasimha Murty
1999	J	`jnl`	Off-line signature verification using genetically optimized weighted features. Pattern Recognit. V. E. Ramesh, M. Narasimha Murty
1997	J	`jnl`	Growing subspace pattern recognition methods and their neural-network models. IEEE Trans. Neural Networks M. Prakash, M. Narasimha Murty
1997	J	`jnl`	Hebbian learning subspace method: A new approach. Pattern Recognit. M. Prakash, M. Narasimha Murty
1996	J	`jnl`	Extended subspace methods of pattern recognition. Pattern Recognit. Lett. M. Prakash, M. Narasimha Murty
1995	J	`jnl`	A genetic approach for selection of (near-) optimal subsets of principal components for discrimination. Pattern Recognit. Lett. M. Prakash, M. Narasimha Murty
1995	J	`jnl`	Knowledge-based clustering scheme for collection management and retrieval of library books. Pattern Recognit. M. Narasimha Murty, Anil K. Jain
1995	J	`jnl`	Optimal thresholding using multi-state stochastic connectionist approach. Pattern Recognit. Lett. G. Phanendra Babu, M. Narasimha Murty
1994	J	`jnl`	A deductive clustering approach. J. Exp. Theor. Artif. Intell. V. Sridhar, M. Narasimha Murty
1994	J	`jnl`	Clustering with evolution strategies. Pattern Recognit. G. Phanendra Babu, M. Narasimha Murty
1994	J	`jnl`	Knowledge-based clustering approach for data abstraction. Knowl. Based Syst. V. Sridhar, M. Narasimha Murty
1993	J	`jnl`	A near-optimal initial seed value selection in K-means means algorithm using a genetic algorithm. Pattern Recognit. Lett. G. Phanendra Babu, M. Narasimha Murty
1993	J	`jnl`	Belief revision - an axiomatic approach. J. Intell. Robotic Syst. V. Sridhar, M. Narasimha Murty
1991	J	`jnl`	A knowledge-based clustering algorithm. Pattern Recognit. Lett. V. Sridhar, M. Narasimha Murty
1991	J	`jnl`	A new data structure HC-expression for learning from examples. Pattern Recognit. Suresh S. Chitoor, M. Narasimha Murty, Malini K. Bhandaru
1991	J	`jnl`	Clustering algorithms for library comparison. Pattern Recognit. V. Sridhar, M. Narasimha Murty
1991	J	`jnl`	Incremental learning from examples using HC-expressions. Pattern Recognit. Malini K. Bhandaru, M. Narasimha Murty
1991	J	`jnl`	Model-theoretic approach to clustering. Knowl. Based Syst. V. Sridhar, M. Narasimha Murty
1990	J	`jnl`	A comparison between conceptual clustering and conventional clustering. Pattern Recognit. Anurag Srivastava, M. Narasimha Murty
1990	J	`jnl`	A divisive scheme for constructing minimal spanning trees in coordinate space. Pattern Recognit. Lett. Sabyasachy Choudhury, M. Narasimha Murty
1990	J	`jnl`	A knowledge-based approach to pattern generation. Pattern Recognit. B. Shekar, M. Narasimha Murty, G. Krishna
1990	B	`conf`	The Function-Acquisition Paradigm in a Knowledge-Based Concept-Synthesis Environment. ALT B. Shekar, M. Narasimha Murty, G. Krishna
1989	B	`conf`	A logical model for decision-making. SMC V. Sridhar, M. Narasimha Murty, G. Krishna
1989	J	`jnl`	Knowledge-based learning using Conceptual Transformers. J. Intell. Robotic Syst. B. Shekar, M. Narasimha Murty, G. Krishna
1989	J	`jnl`	Structural aspects of semantic-directed clusters. Pattern Recognit. B. Shekar, M. Narasimha Murty, G. Krishna
1987	J	`jnl`	A knowledge-based clustering scheme. Pattern Recognit. Lett. B. Shekar, M. Narasimha Murty, G. Krishna
1987	A*	`conf`	Pattern Clustering: An Artificial Intelligence Approach. IJCAI B. Shekar, M. Narasimha Murty, G. Krishna
1981	J	`jnl`	A hybrid clustering procedure for concentric and chain-like clusters. Int. J. Parallel Program. M. Narasimha Murty, G. Krishna
1980	J	`jnl`	A computationally efficient technique for data-clustering. Pattern Recognit. M. Narasimha Murty, G. Krishna