1 citations · 1 across the 3 of their papers we have counts for
3 papers
Fraud Analytics Using Machine-learning & Engineering on Big Data (FAME) for Telecom
Sudarson Roy Pratihar, Subhadip Paul, Pranab Kumar Dash +1
Telecom industries lose globally 46.3 Billion USD due to fraud. Data mining and machine learning techniques (apart from rules oriented approach) have been used in past, but efficie…
Detecting Concept Drift in the Presence of Sparsity -- A Case Study of Automated Change Risk Assessment System
Vishwas Choudhary, Binay Gupta, Anirban Chatterjee +3
Missing values, widely called as \textit{sparsity} in literature, is a common characteristic of many real-world datasets. Many imputation methods have been proposed to address this…
Drift-Adjusted And Arbitrated Ensemble Framework For Time Series Forecasting
Anirban Chatterjee, Subhadip Paul, Uddipto Dutta +1
Time Series Forecasting is at the core of many practical applications such as sales forecasting for business, rainfall forecasting for agriculture and many others. Though this prob…