Data Science

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An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores

Placement of items on the shelf space of retail stores signifcantly impacts the revenue of the retailer. Given the prevalence and popularity of medium-to-large-size retail stores, several research efforts have been made towards facilitating item/itemset placement in retail stores for improving retailer revenue. However, they do not consider the issue of urgency of sale of individual items....
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Retail Analytics for Product Placement in Brick-and-mortar stores

It is a well-established fact in the retail industry that the sale of items, and consequently, retailer revenue are significantly impacted by the method followed for item placement on the retail store shelves. In this scenario, if the decisions concerning the placement of products are carried out in an ad hoc manner by means of...
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Retail Analytics for Product Placement in Brick-and-mortar stores

Authors: Parul Chaudhary, Anirban Mondal & Polepalli Krishna Reddy
Venue: International Journal of Data Science and Analytics
Link: https://link.springer.com/article/10.1007/s41060-020-00221-5
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An analytical model for information gathering and propagation in social networks using random graphs

Authors: Samant Saurabh, Sanjay Madria, Anirban Mondal, Ashok Singh Sairam, Saurabh Mishra
Venue: Data & Knowledge Engineering 2020
Link: https://www.sciencedirect.com/science/article/abs/pii/S0169023X19303441
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A Flexible and Efficient Indexing Scheme for Placement of Top-Utility Itemsets for Different Slot Sizes

Authors: Parul Chaudhary, Anirban Mondal, Polepalli Krishna Reddy
Venue: International Conference on Big Data Analytics (BDA) 2017
Link: https://link.springer.com/chapter/10.1007%2F978-3-319-72413-3_18
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An Urgency-Aware and Revenue-Based Itemset Placement Framework for Retail Stores

Authors: Raghav Mittal, Anirban Mondal, Parul Chaudhary, P. Krishna Reddy
Venue: International Conference on Database and Expert Systems Applications (DEXA) 2021
Link: https://link.springer.com/chapter/10.1007%2F978-3-030-86475-0_5
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Cost-Effective Air Quality Monitoring with Decision Support

(Funded by Mphasis Labs at Ashoka and 3CS) PI: Anirban Mondal (Ashoka University, India); Girish Agrawal (O.P. Jindal Global University) and P. Krishna Reddy, Professor, IIIT Hyderabad The goal of this project is to provide a visual tool both for the public, and for administrators and planners charged with improving air quality. The tool will...
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