Crash Recovery in an Open and Safe Nested Transaction Model. - Sanjay Kumar Madria; S. N. Maheshwari; B. Chandra 001; Bharat K. Bhargava (DEXA, 1997)

Formalization of Linear Hash Structures Using Nested Transactions and I/O Automation Model. - Sanjay Kumar Madria; S. N. Maheshwari; B. Chandra 001 (IADT, 1998)

On the Correctnes of Virtual Partition Algorithm in a Nested Transaction Environment. - Sanjay Kumar Madria; S. N. Maheshwari; B. Chandra 001 (ADBIS, 1999)

An open and safe nested transaction model: concurrency and recovery. - Sanjay Kumar Madria; S. N. Maheshwari; B. Chandra 001; Bharat K. Bhargava (J. Syst. Softw., 2000)

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 001 (Data Knowl. Eng., 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 001; Bharat K. Bhargava (Int. J. Cooperative Inf. Syst., 2001)

Virtual partition algorithm in a nested transaction environment and its correctness. - Sanjay Kumar Madria; S. N. Maheshwari; B. Chandra 001 (Inf. Sci., 2001)

Elegant Decision Tree Algorithm for Classification in Data Mining. - B. Chandra 001; Sati Mazumdar; Vincent C. Arena; Nagender Parimi (WISE Workshops, 2002)

A Concurrency Control Algorithm for an Open and Safe Nested. - Sanjay Kumar Madria; S. N. Maheshwari; B. Chandra 001 (J. Inf. Sci. Eng., 2003)

A New Selection Measure for Classification Using Decision Trees. - B. Chandra 001; Gaurav Saxena (J. Inf. Knowl. Manag., 2004)

Classification and Clustering of Breast Cancer Images. - B. Chandra 001; Sudhir Nath; Arun Malhothra (IJCNN, 2006)

Mining Data for Profitable Trading. - B. Chandra 001; P. Paul Varghese; Ashok Wardhan (DMIN, 2007)

Adaptive Query Interface for Mining Crime Data. - B. Chandra 001; Manish Gupta 005; M. P. Gupta 001 (DNIS, 2007)

A New Association Rule Mining Algorithm. - B. Chandra 001; Gaurav Saxena (ICONIP (2), 2007)

Neural Networks for Identification of Crypto Systems. - B. Chandra 001; P. Paul Varghese; Pramod K. Saxena; Shri Kant (IICAI, 2007)

On Improving Efficiency of SLIQ Decision Tree Algorithm. - B. Chandra 001; P. Paul Varghese (IJCNN, 2007)

Robust Approach for Estimating Probabilities in Naive-Bayes Classifier. - B. Chandra 001; Manish Gupta 005; M. P. Gupta 001 (PReMI, 2007)

New Neuron Model for Blind Source Separation. - Md. Shiblee; B. Chandra 001; Prem Kumar Kalra (ICONIP (2), 2008)

Time Series Prediction with Multilayer Perceptron (MLP): A New Generalized Error Based Approach. - Md. Shiblee; Prem Kumar Kalra; B. Chandra 001 (ICONIP (2), 2008)

The Generalized Product Neuron Model in Complex Domain. - Bipin Kumar Tripathi; B. Chandra 001; Prem Kumar Kalra (ICONIP (2), 2008)

A multivariate time series clustering approach for crime trends prediction. - B. Chandra 001; Manish Gupta 005; M. P. Gupta 001 (SMC, 2008)

A novel approach of cryptanalysis using SOM. - B. Chandra 001; P. Paul Varghese; Pramod K. Saxena; Shri Kant (SMC, 2008)

Learning of new neuron model based on geometric mean with new error metrics. - Md. Shiblee; B. Chandra 001; Prem Kumar Kalra (SMC, 2008)

Fuzzy SLIQ Decision Tree Algorithm. - B. Chandra 001; P. Paul Varghese (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Hybrid Clustering Algorithm. - B. Chandra 001 (SMC, 2009)

Fuzzifying Gini Index based decision trees. - B. Chandra 001; P. Paul Varghese (Expert Syst. Appl., 2009)

Moving towards efficient decision tree construction. - B. Chandra 001; P. Paul Varghese (Inf. Sci., 2009)

Generalized Power Mean Neuron Model. - Md. Shiblee; B. Chandra 001; Prem Kumar Kalra (WKDD, 2010)

Learning of geometric mean neuron model using resilient propagation algorithm. - Md. Shiblee; B. Chandra 001; Prem Kumar Kalra (Expert Syst. Appl., 2010)

A new node splitting measure for decision tree construction. - B. Chandra 001; Ravi Kothari; Pallath Paul (Pattern Recognit., 2010)

A novel approach of finding frequent itemsets in high speed data streams. - B. Chandra 001; Shalini Bhaskar (FSKD, 2011)

An improved architecture for Probabilistic Neural Networks. - B. Chandra 001; Kuppili Venkata Naresh Babu (IJCNN, 2011)

A new algorithm for graph mining. - B. Chandra 001; Shalini Bhaskar (IJCNN, 2011)

Quest for efficient option pricing prediction model using machine learning techniques. - B. V. Phani; B. Chandra 001; Vijay Raghav (IJCNN, 2011)

A new approach for classification of patterns having categorical attributes. - B. Chandra 001; Shalini Bhaskar (SMC, 2011)

Patterned Growth algorithm using Hub-Averaging without pre-assigned weights. - B. Chandra 001; Shalini Bhaskar (SMC, 2011)

Heterogeneous node split measure for decision tree construction. - B. Chandra 001; Venkatanareshbabu Kuppili (SMC, 2011)

Complex generalized-mean neuron model and its applications. - Bipin Kumar Tripathi; B. Chandra 001; Menakshi Singh; Prem Kumar Kalra (Appl. Soft Comput., 2011)

A new approach for generating efficient sample from market basket data. - B. Chandra 001; Shalini Bhaskar (Expert Syst. Appl., 2011)

Robust approach for estimating probabilities in Naïve-Bayes Classifier for gene expression data. - B. Chandra 001; Manish Gupta 005 (Expert Syst. Appl., 2011)

An efficient statistical feature selection approach for classification of gene expression data. - B. Chandra 001; Manish Gupta 005 (J. Biomed. Informatics, 2011)

A Single Neuron Model for Pattern Classification. - B. Chandra 001; Kuppili Venkata Naresh Babu (ICONIP (4), 2012)

Novel Multivariate Time Series Clustering Approach for E-Governance of Crime Data. - B. Chandra 001; Manish Gupta 005 (DeSE, 2013)

Novel Approach for Blind Source Separation. - Md. Shiblee; B. Chandra 001 (DeSE, 2013)

A new spiking neuron model. - B. Chandra 001; Kuppili Venkata Naresh Babu (IJCNN, 2013)

A Novel Approach for Finding Frequent Itemsets in Data Stream. - B. Chandra 001; Shalini Bhaskar (Int. J. Intell. Syst., 2013)

A novel approach for distance-based semi-supervised clustering using functional link neural network. - B. Chandra 001; Manish Gupta 005 (Soft Comput., 2013)

Fast learning for big data applications using parameterized multilayer perceptron. - B. Chandra 001; Rajesh Kumar Sharma 002 (IEEE BigData, 2014)

Adaptive Noise Schedule for Denoising Autoencoder. - B. Chandra 001; Rajesh Kumar Sharma 002 (ICONIP (1), 2014)

Classification of gene expression data using Spiking Wavelet Radial Basis Neural Network. - B. Chandra 001; Kuppili Venkata Naresh Babu (Expert Syst. Appl., 2014)

A framework of intelligent decision support system for Indian police. - Manish Gupta 005; B. Chandra 001; M. P. Gupta 001 (J. Enterp. Inf. Manag., 2014)

Exploring autoencoders for unsupervised feature selection. - B. Chandra 001; Rajesh Kumar Sharma 002 (IJCNN, 2015)

A Robust Feature Selection Algorithm. - B. Chandra 001 (DeSE, 2016)

On improving the efficiency of complex-valued ELM. - B. Chandra 001; Rajesh Kumar Sharma 002 (IJCNN, 2016)

Deep learning with adaptive learning rate using laplacian score. - B. Chandra 001; Rajesh Kumar Sharma 002 (Expert Syst. Appl., 2016)

Fast learning in Deep Neural Networks. - B. Chandra 001; Rajesh Kumar Sharma 002 (Neurocomputing, 2016)

Fault Diagnosis of Internal Combustion Engine Using Empirical Mode Decomposition and Artificial Neural Networks. - Md. Shiblee; Sandeep Kumar Yadav; B. Chandra 001 (ICIC (3), 2017)

On improving recurrent neural network for image classification. - B. Chandra 001; Rajesh Kumar Sharma 002 (IJCNN, 2017)

An efficient feature selection technique for gene expression data. - B. Chandra 001 (CIBCB, 2018)

Geodetic Distance and Dynamic Outlier Exclusion in EM Optimization of Self Exciting Point Process for Homicide Prediction in Chicago. - B. Shanker Jaiswal; B. Chandra 001; Kolin Paul (IIAI-AAI, 2020)

Evaluating Sentiments in Social Media Comments on Tax Transformation in India using Deep Learning. - Pankaj Dikshit; B. Chandra 001 (ICMLA, 2021)

Automating Questions and Answers of Good and Services Tax system using clustering and embeddings of queries. - Pankaj Dikshit; B. Chandra 001; M. P. Gupta 001 (ICMLA, 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 001 (SMC, 2021)