Browsing by Author "Krishnamoorthy, Srikumar"
Now showing items 1-20 of 26
-
Analysis of corporate sustainability reports using text mining
Kumar, Rakesh; Sarkar, Rahul (Indian Institute of Management Ahmedabad, 2019)The entire concept of sustainability came into focus when companies realized that the survival of the human race is dependent on continued health and viability of the earth’s life support system. The most widely used ... -
Aspect based sentiment analysis of hotels and its business applications
Yadhav, Kanakarajulu Suneel Kumar; K, Chandra Sekhar; S, Hemanth Kumar (Indian Institute of Management Ahmedabad, 2017)With the rapid increase in internet usage, customers found online sources as excellent platforms for providing their opinions / reviews / feedback and these data is growing over time by serving as wonderful source for ... -
Categorization and ranking of Web reviews in Telecom Sector
Kumar V, Anil; K, Parthiban (Indian Institute of Management, Ahmedabad, 2015) -
Designing a Customer Loyalty Programme for a Fast Growing Hyper Market in India (A) *
Krishnamoorthy, Srikumar (Indian Institute of Management Ahmedabad, 2019-02-04)Fast Growing Hyper Market (FGHM), a hypermarket format retailer in India, grew from one to seven hypermarket stores in a span of last two years, achieving a healthy market share of 20% in 2014. The company planned to expand ... -
Designing a Customer Loyalty Programme for a Fast Growing Hyper Market in India (A): A Teaching Note*
Krishnamoorthy, Srikumar (Indian Institute of Management Ahmedabad, 2019-02-04) -
Designing a Customer Loyalty Programme for a Fast Growing Hyper Market in India (B)*
Krishnamoorthy, Srikumar (Indian Institute of Management Ahmedabad, 2019-02-04)Fast Growing Hyper Market (FGHM), a hypermarket format retailer in India, grew from one to seven hypermarket stores in a span of last two years, achieving a healthy market share of 20% in 2014. The company planned to expand ... -
Designing a Customer Loyalty Programme for a Fast Growing Hyper Market in India (C)
Krishnamoorthy, Srikumar (Indian Institute of Management Ahmedabad, 2019-02-04)Fast Growing Hyper Market (FGHM), a hypermarket format retailer in India, grew from one to seven hypermarket stores in a span of last two years, achieving a healthy market share of 20% in 2014. The company planned to expand ... -
Designing a Customer Loyalty Programme for a Fast Growing Hyper Market in India ©: A Teaching Note*
Krishnamoorthy, Srikumar (Indian Institute of Management Ahmedabad, 2019-02-04) -
Efficient mining of high utility itemsets with multiple minimum utility thresholds
Krishnamoorthy, Srikumar (Elsevier, 2018-01)Mining high utility itemsets is considered to be one of the important and challenging problems in the data mining literature. The problem offers greater flexibility to a decision maker in using item utilities such as ... -
Efficiently mining high utility itemsets with negative unit profits
Krishnamoorthy, Srikumar (Elsevier, 2018-04)A High Utility Itemset (HUI) mining is an important problem in the data mining literature that considers utilities of items (such as profits and margins) to discover interesting patterns from transactional databases. Several ... -
Essays on machine learning for enhanced decision support in e-Commerce
Kandula, Shanthan (Indian Institute of Management Ahmedabad, 2023)"E-commerce is proliferating, consequently, the need to make informed decisions. Many ecommerce platforms have adopted data-driven solutions in various applications, such as product recommendation and fraud detection. This ... -
HMiner: efficiently mining high utility itemsets
Krishnamoorthy, Srikumar (Elsevier, 2017-12-30)High utility itemset mining problem uses the notion of utilities to discover interesting and actionable patterns. Several data structures and heuristic methods have been proposed in the literature to efficiently mine ... -
Introduction to Data Analysis Using Rapidminer Data Mining Software
Krishnamoorthy, Srikumar (Indian Institute of Management, Ahmedabad, 2013) -
Linguistic features for review helpfulness prediction
Krishnamoorthy, Srikumar (Elsevier, 2015)Online reviews play a critical role in customer’s purchase decision making process on the web. The reviews are often ranked based on user helpfulness votes to minimize the review information overload problem. This paper ... -
Managerial Decision Problems Using Association Rules
Krishnamoorthy, Srikumar (Indian Institute of Management, Ahmedabad, 2014)This note describes the basic concepts of association rule mining and is primarily intended for participants of the postgraduate or executive management programs. The key steps in the association rule mining process and ... -
A method for retail product selection using data mining
Krishnamoorthy, Srikumar (Indian Institute of Management , Ahmedabad, 2014)Product assortment planning is considered as one of the important problems in the retail business. Traditional approaches to product selection in the assortment are largely based on individual product popularity or margins. ... -
Mining top-k high utility item sets with effective threshold raising strategies
Krishnamoorthy, Srikumar (ScienceDirect, 2019)Top-K High Utility Itemset (HUI) mining problem offers greater flexibility to a decision maker in specifying her/his notion of item utility and the desired number of patterns. It obviates the need for a decision maker to ... -
Novel features for review helpfulness prediction
Krishnamoorthy, Srikumar (Indian Institute of Management , Ahmedabad, 2014)Online reviews play a critical role in customer's purchase decision making process on the web. The online reviews are often ranked based on user helpfulness votes to minimize the review information overload problem. This ... -
Predicting helpfulness of online customer reviews
Krishnamoorthy, Srikumar (Indian Institute of Management , Ahmedabad, 2014)Helpfulness of online reviews plays an important role in customer purchase decision making process. However, the review helpfulness prediction problem is considered to be quite challenging and hard. This paper aims to ... -
A prescriptive analytics framework for efficient E-commerce order delivery
Kandula, Shanthan; Krishnamoorthy, Srikumar; Roy, Debjit (Elsevier, 2021-04-30)Achieving timely last-mile order delivery is often the most challenging part of an e-commerce order fulfillment. Effective management of last-mile operations can result in significant cost savings and lead to increased ...