On the public citation graph

Generating Dynamic Higher-Order Markov Models in Web Usage Mining

0 signed · 45 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/3-540-44934-5openalex-snapshot
Web Usage Analysis and User Profiling
inferredcites →https://doi.org/10.1007/3-540-44934-5_6openalex-snapshot
Data Mining of User Navigation Patterns
inferredcites →https://doi.org/10.1016/s0004-3702(99)00098-3openalex-snapshot
Towards adaptive Web sites: Conceptual framework and case study
inferredcites →https://doi.org/10.1016/s0169-7552(98)00106-8openalex-snapshot
Using path profiles to predict HTTP requests
inferredcites →https://doi.org/10.1016/s1389-1286(00)00044-xopenalex-snapshot
Link prediction and path analysis using Markov chains
inferredcites →https://doi.org/10.1109/mc.2003.1185219openalex-snapshot
A popularity-based prediction model for web prefetching
inferredcites →https://doi.org/10.1109/mcise.2002.1046594openalex-snapshot
A new Markov model for Web access prediction
inferredcites →https://doi.org/10.1137/1.9781611972719.4openalex-snapshot
Selective Markov Models for Predicting Web-Page Accesses
inferredcites →https://doi.org/10.1142/s0219622003000768openalex-snapshot
Computing the Entropy of User Navigation in the Web
inferredcites →https://doi.org/10.1142/s0219622004001021openalex-snapshot
AN AVERAGE LINEAR TIME ALGORITHM FOR WEB USAGE MINING
inferredcites →https://doi.org/10.1145/513338.513381openalex-snapshot
Using Markov models for web site link prediction
inferredcites →https://doi.org/10.1145/513378.513381openalex-snapshot
Using Markov models for web site link prediction
inferredcites →https://doi.org/10.1201/9780203507223.ch15openalex-snapshot
Web Usage Mining and Personalization
inferredcites →https://doi.org/10.1287/ijoc.15.2.171.14445openalex-snapshot
A Framework for the Evaluation of Session Reconstruction Heuristics in Web-Usage Analysis
inferredcites →https://doi.org/10.2307/415888openalex-snapshot
Statistical language learning . By Eugene Charniak. Cambridge, MA: MIT Press, 1993. Pp. xiii, 170.
inferredcites →https://doi.org/10.48550/arxiv.cs/0406032openalex-snapshot
A Dynamic Clustering-Based Markov Model for Web Usage Mining

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/11766254_39openalex-snapshot
Mining Interest Navigation Patterns Based on Hybrid Markov Model
inferred← citeshttps://doi.org/10.1007/11892960_92openalex-snapshot
DAWN – A System for Context-Based Link Recommendation in Web Navigation
inferred← citeshttps://doi.org/10.1007/978-3-319-69644-7_17openalex-snapshot
Predicting Web User’s Behavior: An Absorbing Markov Chain Approach
inferred← citeshttps://doi.org/10.1007/978-3-642-33326-2_4openalex-snapshot
Web Usage Mining: Discovering Usage Patterns for Web Applications
inferred← citeshttps://doi.org/10.1007/978-981-15-2513-1_8openalex-snapshot
Web Page Recommendations Based on User Session Graph
inferred← citeshttps://doi.org/10.1007/s00500-006-0115-1openalex-snapshot
Testing the Predictive Power of Variable History Web Usage
inferred← citeshttps://doi.org/10.1016/j.datak.2011.11.005openalex-snapshot
Discovering better navigation sequences for the session construction problem
inferred← citeshttps://doi.org/10.1109/cesys.2016.7889983openalex-snapshot
A novel approach to provide Web page recommendation using domain knowledge and web usage knowledge
inferred← citeshttps://doi.org/10.1109/csicc.2009.5349657openalex-snapshot
Dynamic and memory efficient web page prediction model using LZ78 and LZW algorithms
inferred← citeshttps://doi.org/10.1109/iccci.2016.7479983openalex-snapshot
Web Page Personalization and link prediction using generalized inverted index and flame clustering
inferred← citeshttps://doi.org/10.1109/iccic.2010.5705732openalex-snapshot
Analysis of Markov model on different web Prefetching and caching schemes
inferred← citeshttps://doi.org/10.1109/icdmw.2013.35openalex-snapshot
Empirical Discovery of Potential Value Leaks in Processes by Means of Formal Concept Analysis
inferred← citeshttps://doi.org/10.1109/icetet.2010.56openalex-snapshot
Generating a New Model for Predicting the Next Accessed Web Page in Web Usage Mining
inferred← citeshttps://doi.org/10.1109/ictai.2006.103openalex-snapshot
Sequence Mining Without Sequences: A New Way for Privacy Preserving
inferred← citeshttps://doi.org/10.1109/tkde.2007.1012openalex-snapshot
Evaluating Variable-Length Markov Chain Models for Analysis of User Web Navigation Sessions
inferred← citeshttps://doi.org/10.1109/tkde.2013.78openalex-snapshot
Web-Page Recommendation Based on Web Usage and Domain Knowledge
inferred← citeshttps://doi.org/10.1142/s0219622007002368openalex-snapshot
COMPARISON OF INTERESTINGNESS MEASURES FOR WEB USAGE MINING: AN EMPIRICAL STUDY
inferred← citeshttps://doi.org/10.1142/s0219622014500643openalex-snapshot
Semantically Enriched Variable Length Markov Chain Model for Analysis of User Web Navigation Sessions
inferred← citeshttps://doi.org/10.1145/1097047.1097050openalex-snapshot
Web path recommendations based on page ranking and Markov models
inferred← citeshttps://doi.org/10.1145/1526709.1526732openalex-snapshot
Smart Miner
inferred← citeshttps://doi.org/10.21275/v4i12.nov151843openalex-snapshot
Survey Paper on Website Recommendation System Using Browser History and Domain Knowledge
inferred← citeshttps://doi.org/10.3233/ida-2008-12303openalex-snapshot
Modeling dynamic substate chains among massive states
inferred← citeshttps://doi.org/10.37648/ijrst.v11i02.003openalex-snapshot
Recommendation of a Webpage by using Web Mining Technique
inferred← citeshttps://doi.org/10.4018/978-1-60566-010-3.ch310openalex-snapshot
Variable Length Markov Chains for Web Usage Mining
inferred← citeshttps://doi.org/10.4018/jcit.2017010101openalex-snapshot
An Empirical Analysis of Web Navigation Prediction Techniques
inferred← citeshttps://doi.org/10.48550/arxiv.1606.08328openalex-snapshot
Maps of sparse Markov chains efficiently reveal community structure in network flows with memory
inferred← citeshttps://doi.org/10.5121/ijci.2015.4101openalex-snapshot
Evaluation of Models for Predicting User’s Next Request in Web Usage Mining
inferred← citeshttps://doi.org/10.5121/ijdkp.2011.1201openalex-snapshot
Analysis of Users’ Web Navigation Behavior using GRPA with Variable Length Markov Chains
inferred← citeshttps://doi.org/10.5772/8379openalex-snapshot
Skipping-Based Collaborative Recommendations inspired from Statistical Language Modeling
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.