A fast method for discovering critical edge sequences in e-commerce catalogs
type: Item
instance of: scholarly article
title: A fast method for discovering critical edge sequences in e-commerce catalogs
zbMATH Open document ID: 1131.90424
author: Kaushik Dutta
author: Anindya Datta
author: Pinar Keskinocak
author: Krithi Ramamritham
author: Debra VanderMeer
published in: European Journal of Operational Research
publication date: 2007-04-19T00:00:00Z
Mathematics Subject Classification ID: 90B99
Mathematics Subject Classification ID: 68T05
zbMATH DE Number: 5144979
zbMATH Keywords: data mining
zbMATH Keywords: e-commerce
zbMATH Keywords: graph theory
zbMATH Keywords: applied probability
describes a project that uses: SPADE
describes a project that uses: PlanMine
MaRDI profile type: Publication
full work available at URL: j.ejor.2006.06.055
OpenAlex ID: W2022257338
cites work: An architecture to support scalable online personalization on the Web
cites work: Finding the k Shortest Paths
cites work: Q3365926
cites work: SPADE: An efficient algorithm for mining frequent sequences
cites work: Q3046577
cites work: On algorithms for finding the k shortest paths in a network
cites work: Data mining for measuring and improving the success of web sites
cites work: PlanMine: Prediction plan failures using sequence mining
DOI: 10.1016/J.EJOR.2006.06.055
description: scientific article; zbMATH DE number 5144979