Browsing Journal Articles by Author "Krishnamoorthy, Srikumar"

Now showing items 1-10 of 10

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...

    • 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 ...