Now showing items 21-27 of 27

    • 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 ...
    • Pruning strategies for mining high utility itemsets 

      Krishnamoorthy, Srikumar (Elsevier, 2015)
      High utility itemset mining problem involves the use of internal and external utilities of items (such as profits, margins) to discover interesting patterns from a given transactional database. It is an extension of the ...
    • Segmenting and targeting in e-commerce using data mining 

      Kumar S., Ashwin; Sriram, N; Vinod, Prasad M (Indian Institute of Management Ahmedabad, 2014)
      Data mining is the practice of examining the existing database to generate new information.Itprovides useful information for the decision makers.With a spurt in e-commerce players like Amazon, Flipkart, OLX, Infibeam in ...
    • Sentiment analysis of financial news articles using performance indicators 

      Krishnamoorthy, Srikumar (Springer, 2017-11-24)
      Mining financial text documents and understanding the sentiments of individualinvestors, institutions and markets is an important and challenging problem in the literature.Current approaches to mine sentiments from financial ...
    • Streaming data: New models and methods with applications in the transportation industry 

      Putatunda, Sayan (Indian Institute of Management Ahmedabad, 2017)
      Streaming data or data streams can be defined as an infinite and continuous inflow of data coming at a very high pace. Streaming Data comes with its set of challenges viz. one-time pass, infinite data, a very high speed ...
    • A two-stage integer programming model considering transaction equivalence for privacy preservation 

      Krishnamoorthy, Srikumar (Elsevier, 2022-08-17)
      Preserving privacy is one of the fundamental requirements of firms that share data with their business partners for building advanced data mining models. Firms often aim to protect the disclosure of sensitive knowledge or ...
    • An utility-based storage assignment strategy for e-commerce warehouse management 

      Krishnamoorthy, Srikumar; Roy, Debjit (2019 International Conference on Data Mining Workshops (ICDMW), 2019)
      Order picking is one of the most labor intensive and time consuming parts of e-commerce warehouse order management. An effective solution to the item storage assignment problem can significantly improve the efficiency of ...