B. Chandra

According to our database, B. Chandra authored at least 63 papers between 1997 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2021

Assessing the significance of co-occurring terms in Goods and Services Tax in India using co-occurrence graphs and Attention based Deep Learning Models.

Pankaj Dikshit, B. Chandra

Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Automating Questions and Answers of Good and Services Tax system using clustering and embeddings of queries.

Pankaj Dikshit, B. Chandra, M. P. Gupta

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Evaluating Sentiments in Social Media Comments on Tax Transformation in India using Deep Learning.

Pankaj Dikshit, B. Chandra

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020

Geodetic Distance and Dynamic Outlier Exclusion in EM Optimization of Self Exciting Point Process for Homicide Prediction in Chicago.

B. Shanker Jaiswal, B. Chandra, Kolin Paul

Proceedings of the 9th International Congress on Advanced Applied Informatics, 2020

2018

An efficient feature selection technique for gene expression data.

B. Chandra

Proceedings of the 2018 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2018

2017

On improving recurrent neural network for image classification.

B. Chandra, Rajesh Kumar Sharma

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Fault Diagnosis of Internal Combustion Engine Using Empirical Mode Decomposition and Artificial Neural Networks.

Md. Shiblee, Sandeep Kumar Yadav, B. Chandra

Proceedings of the Intelligent Computing Methodologies - 13th International Conference, 2017

2016

Fast learning in Deep Neural Networks.

B. Chandra, Rajesh Kumar Sharma

Neurocomputing, 2016

Deep learning with adaptive learning rate using laplacian score.

B. Chandra, Rajesh Kumar Sharma

Expert Syst. Appl., 2016

On improving the efficiency of complex-valued ELM.

B. Chandra, Rajesh Kumar Sharma

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A Robust Feature Selection Algorithm.

B. Chandra

Proceedings of the 9th International Conference on Developments in eSystems Engineering, 2016

2015

Exploring autoencoders for unsupervised feature selection.

B. Chandra, Rajesh Kumar Sharma

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

2014

A framework of intelligent decision support system for Indian police.

Manish Gupta, B. Chandra, M. P. Gupta

J. Enterp. Inf. Manag., 2014

Classification of gene expression data using Spiking Wavelet Radial Basis Neural Network.

B. Chandra, Kuppili Venkata Naresh Babu

Expert Syst. Appl., 2014

Adaptive Noise Schedule for Denoising Autoencoder.

B. Chandra, Rajesh Kumar Sharma

Proceedings of the Neural Information Processing - 21st International Conference, 2014

Fast learning for big data applications using parameterized multilayer perceptron.

B. Chandra, Rajesh Kumar Sharma

Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013

A novel approach for distance-based semi-supervised clustering using functional link neural network.

B. Chandra, Manish Gupta

Soft Comput., 2013

A Novel Approach for Finding Frequent Itemsets in Data Stream.

B. Chandra, Shalini Bhaskar

Int. J. Intell. Syst., 2013

A new spiking neuron model.

B. Chandra, Kuppili Venkata Naresh Babu

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Novel Approach for Blind Source Separation.

Md. Shiblee, B. Chandra

Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013

Novel Multivariate Time Series Clustering Approach for E-Governance of Crime Data.

B. Chandra, Manish Gupta

Proceedings of the Sixth International Conference on Developments in eSystems Engineering, 2013

2012

A Single Neuron Model for Pattern Classification.

B. Chandra, Kuppili Venkata Naresh Babu

Proceedings of the Neural Information Processing - 19th International Conference, 2012

2011

An efficient statistical feature selection approach for classification of gene expression data.

B. Chandra, Manish Gupta

J. Biomed. Informatics, 2011

Robust approach for estimating probabilities in Naïve-Bayes Classifier for gene expression data.

B. Chandra, Manish Gupta

Expert Syst. Appl., 2011

A new approach for generating efficient sample from market basket data.

B. Chandra, Shalini Bhaskar

Expert Syst. Appl., 2011

Complex generalized-mean neuron model and its applications.

Bipin Kumar Tripathi, B. Chandra, Menakshi Singh, Prem Kumar Kalra

Appl. Soft Comput., 2011

Heterogeneous node split measure for decision tree construction.

B. Chandra, Venkatanareshbabu Kuppili

Proceedings of the IEEE International Conference on Systems, 2011

Patterned Growth algorithm using Hub-Averaging without pre-assigned weights.

B. Chandra, Shalini Bhaskar

Proceedings of the IEEE International Conference on Systems, 2011

A new approach for classification of patterns having categorical attributes.

B. Chandra, Shalini Bhaskar

Proceedings of the IEEE International Conference on Systems, 2011

Quest for efficient option pricing prediction model using machine learning techniques.

B. V. Phani, B. Chandra, Vijay Raghav

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A new algorithm for graph mining.

B. Chandra, Shalini Bhaskar

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

An improved architecture for Probabilistic Neural Networks.

B. Chandra, Kuppili Venkata Naresh Babu

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

A novel approach of finding frequent itemsets in high speed data streams.

B. Chandra, Shalini Bhaskar

Proceedings of the Eighth International Conference on Fuzzy Systems and Knowledge Discovery, 2011

2010

A new node splitting measure for decision tree construction.

B. Chandra, Ravi Kothari, Pallath Paul

Pattern Recognit., 2010

Learning of geometric mean neuron model using resilient propagation algorithm.

Md. Shiblee, B. Chandra, Prem Kumar Kalra

Expert Syst. Appl., 2010

Generalized Power Mean Neuron Model.

Md. Shiblee, B. Chandra, Prem Kumar Kalra

Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, 2010

2009

Moving towards efficient decision tree construction.

B. Chandra, P. Paul Varghese

Inf. Sci., 2009

Fuzzifying Gini Index based decision trees.

B. Chandra, P. Paul Varghese

Expert Syst. Appl., 2009

Hybrid Clustering Algorithm.

B. Chandra

Proceedings of the IEEE International Conference on Systems, 2009

2008

Fuzzy SLIQ Decision Tree Algorithm.

B. Chandra, P. Paul Varghese

IEEE Trans. Syst. Man Cybern. Part B, 2008

Learning of new neuron model based on geometric mean with new error metrics.

Md. Shiblee, B. Chandra, Prem Kumar Kalra

Proceedings of the IEEE International Conference on Systems, 2008

A novel approach of cryptanalysis using SOM.

B. Chandra, P. Paul Varghese, Pramod K. Saxena, Shri Kant

Proceedings of the IEEE International Conference on Systems, 2008

A multivariate time series clustering approach for crime trends prediction.

B. Chandra, Manish Gupta, M. P. Gupta

Proceedings of the IEEE International Conference on Systems, 2008

The Generalized Product Neuron Model in Complex Domain.

Bipin Kumar Tripathi, B. Chandra, Prem Kumar Kalra

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach.

Md. Shiblee, Prem Kumar Kalra, B. Chandra

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

New Neuron Model for Blind Source Separation.

Md. Shiblee, B. Chandra, Prem Kumar Kalra

Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

2007

Robust Approach for Estimating Probabilities in Naive-Bayes Classifier.

B. Chandra, Manish Gupta, M. P. Gupta

Proceedings of the Pattern Recognition and Machine Intelligence, 2007

On Improving Efficiency of SLIQ Decision Tree Algorithm.

B. Chandra, P. Paul Varghese

Proceedings of the International Joint Conference on Neural Networks, 2007

Neural Networks for Identification of Crypto Systems.

B. Chandra, P. Paul Varghese, Pramod K. Saxena, Shri Kant

Proceedings of the 3rd Indian International Conference on Artificial Intelligence, 2007

A New Association Rule Mining Algorithm.

B. Chandra, Gaurav Saxena

Proceedings of the Neural Information Processing, 14th International Conference, 2007

Adaptive Query Interface for Mining Crime Data.

B. Chandra, Manish Gupta, M. P. Gupta

Proceedings of the Databases in Networked Information Systems, 5th International Workshop, 2007

Mining Data for Profitable Trading.

B. Chandra, P. Paul Varghese, Ashok Wardhan

Proceedings of the 2007 International Conference on Data Mining, 2007

2006

Classification and Clustering of Breast Cancer Images.

B. Chandra, Sudhir Nath, Arun Malhothra

Proceedings of the International Joint Conference on Neural Networks, 2006

2004

A New Selection Measure for Classification Using Decision Trees.

B. Chandra, Gaurav Saxena

J. Inf. Knowl. Manag., 2004

2003

A Concurrency Control Algorithm for an Open and Safe Nested.

Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra

J. Inf. Sci. Eng., 2003

2002

Elegant Decision Tree Algorithm for Classification in Data Mining.

B. Chandra, Sati Mazumdar, Vincent C. Arena, Nagender Parimi

Proceedings of the 3rd International Conference on Web Information Systems Engineering Workshops, 2002

2001

Virtual partition algorithm in a nested transaction environment and its correctness.

Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra

Inf. Sci., 2001

Formalization and Proof of Correctness of the Crash Recovery Algorithm for an Open and Safe Nested Transaction Model.

Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra, Bharat K. Bhargava

Int. J. Cooperative Inf. Syst., 2001

Formalization and correctness of a concurrent linear hash structure algorithm using nested transactions and I/O automata.

Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra

Data Knowl. Eng., 2001

2000

An open and safe nested transaction model: concurrency and recovery.

Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra, Bharat K. Bhargava

J. Syst. Softw., 2000

1999

On the Correctnes of Virtual Partition Algorithm in a Nested Transaction Environment.

Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra

Proceedings of the Advances in Databases and Information Systems, 1999

1998

Formalization of Linear Hash Structures Using Nested Transactions and I/O Automation Model.

Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra

Proceedings of the Third International Conference on Integrated Design and Process Technology, IDPT, 1998

1997

Crash Recovery in an Open and Safe Nested Transaction Model.

Sanjay Kumar Madria, S. N. Maheshwari, B. Chandra, Bharat K. Bhargava

Proceedings of the Database and Expert Systems Applications, 8th International Conference, 1997