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Learning DOM Trees of Web Pages by Subpath Kernel and Detecting Fake e-Commerce Sites

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What this work says

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

inferredcites →https://doi.org/10.1007/11560586_26openalex-snapshot
A Theoretical Analysis of Alignment and Edit Problems for Trees
inferredcites →https://doi.org/10.1007/3-540-44679-6_37openalex-snapshot
A New Measure of Edit Distance between Labeled Trees
inferredcites →https://doi.org/10.1007/3-540-44888-8_7openalex-snapshot
Analysis of Tree Edit Distance Algorithms
inferredcites →https://doi.org/10.1007/3-540-68530-8_8openalex-snapshot
Computing the Edit-Distance Between Unrooted Ordered Trees
inferredcites →https://doi.org/10.1007/978-1-4612-1128-0openalex-snapshot
Harmonic Analysis on Semigroups
inferredcites →https://doi.org/10.1007/978-3-319-10061-6_22openalex-snapshot
A Comprehensive Study of Tree Kernels
inferredcites →https://doi.org/10.1007/978-3-319-66402-6_22openalex-snapshot
DeltaPhish: Detecting Phishing Webpages in Compromised Websites
inferredcites →https://doi.org/10.1007/978-3-540-73420-8_15openalex-snapshot
An Optimal Decomposition Algorithm for Tree Edit Distance
inferredcites →https://doi.org/10.1007/bf01975866openalex-snapshot
A Constrained Edit Distance Between Unordered Labeled Trees
inferredcites →https://doi.org/10.1007/s10472-015-9467-5openalex-snapshot
A theory of subtree matching and tree kernels based on the edit distance concept
inferredcites →https://doi.org/10.1007/s11416-007-0050-4openalex-snapshot
Usability evaluation of anti-phishing toolbars
inferredcites →https://doi.org/10.1016/0020-0190(92)90136-jopenalex-snapshot
On the editing distance between unordered labeled trees
inferredcites →https://doi.org/10.1016/0031-3203(94)00109-yopenalex-snapshot
Algorithms for the constrained editing distance between ordered labeled trees and related problems
inferredcites →https://doi.org/10.1016/0304-3975(95)80015-8openalex-snapshot
Alignment of trees — an alternative to tree edit
inferredcites →https://doi.org/10.1016/0304-3975(95)80029-9openalex-snapshot
Alignment of trees — an alternative to tree edit
inferredcites →https://doi.org/10.1016/j.procs.2015.06.017openalex-snapshot
PhishShield: A Desktop Application to Detect Phishing Webpages through Heuristic Approach
inferredcites →https://doi.org/10.1016/j.tcs.2004.12.030openalex-snapshot
A survey on tree edit distance and related problems
inferredcites →https://doi.org/10.1016/s0031-3203(99)00199-5openalex-snapshot
Finding similar consensus between trees: an algorithm and a distance hierarchy
inferredcites →https://doi.org/10.1093/biomet/75.2.383openalex-snapshot
A Stagewise Rejective Multiple Test Procedure Based on a Modified Bonferroni Test
inferredcites →https://doi.org/10.1109/access.2019.2892066openalex-snapshot
Phishing Website Detection Based on Multidimensional Features Driven by Deep Learning
inferredcites →https://doi.org/10.1109/icccnt.2018.8494159openalex-snapshot
Comparative Study of the Detection of Malicious URLs Using Shallow and Deep Networks
inferredcites →https://doi.org/10.1109/iccubea.2017.8463818openalex-snapshot
Phishing Sites Detection Based on C4.5 Decision Tree Algorithm
inferredcites →https://doi.org/10.1109/icdcs.2016.10openalex-snapshot
Know Your Phish: Novel Techniques for Detecting Phishing Sites and Their Targets
inferredcites →https://doi.org/10.1109/icin.2018.8401597openalex-snapshot
Classification of URL bitstreams using bag of bytes
inferredcites →https://doi.org/10.1109/isdfs.2018.8355342openalex-snapshot
Phishing web sites features classification based on extreme learning machine
inferredcites →https://doi.org/10.1109/mc.2009.306openalex-snapshot
A Comparison of Tools for Detecting Fake Websites
inferredcites →https://doi.org/10.1109/mic.2006.23openalex-snapshot
An antiphishing strategy based on visual similarity assessment
inferredcites →https://doi.org/10.1109/spin.2018.8474040openalex-snapshot
A Novel Machine Learning Approach to Detect Phishing Websites
inferredcites →https://doi.org/10.1109/tnsm.2014.2377295openalex-snapshot
PhishStorm: Detecting Phishing With Streaming Analytics
inferredcites →https://doi.org/10.1137/0218082openalex-snapshot
Simple Fast Algorithms for the Editing Distance between Trees and Related Problems
inferredcites →https://doi.org/10.1142/9789812770202openalex-snapshot
Bridging the Gap Between Graph Edit Distance and Kernel Machines
inferredcites →https://doi.org/10.1142/s0129054196000051openalex-snapshot
ON THE EDITING DISTANCE BETWEEN UNDIRECTED ACYCLIC GRAPHS
inferredcites →https://doi.org/10.1145/1242572.1242659openalex-snapshot
Cantina
inferredcites →https://doi.org/10.1145/1390156.1390275openalex-snapshot
A generalization of Haussler's convolution kernel
inferredcites →https://doi.org/10.1145/1644015.1644017openalex-snapshot
An optimal decomposition algorithm for tree edit distance
inferredcites →https://doi.org/10.1145/1961189.1961199openalex-snapshot
LIBSVM
inferredcites →https://doi.org/10.1145/322139.322143openalex-snapshot
The Tree-to-Tree Correction Problem
inferredcites →https://doi.org/10.1184/r1/6470321openalex-snapshot
Phinding Phish: Evaluating Anti-Phishing Tools
inferredcites →https://doi.org/10.14778/2095686.2095692openalex-snapshot
RTED
inferredcites →https://doi.org/10.17705/1jais.00399openalex-snapshot
Fake-Website Detection Tools: Identifying Elements that Promote Individuals’ Use and Enhance Their Performance
inferredcites →https://doi.org/10.2307/25750686openalex-snapshot
Detecting Fake Websites: The Contribution of Statistical Learning Theory1
inferredcites →https://doi.org/10.4230/lipics.cpm.2018.22openalex-snapshot
Linear-time algorithms for the subpath kernel
inferredcites →https://doi.org/10.48550/arxiv.1206.4642openalex-snapshot
Fast Computation of Subpath Kernel for Trees
inferredcites →https://doi.org/10.5220/0006721902660275openalex-snapshot
The Mapping Distance – a Generalization of the Edit Distance – and its Application to Trees
inferredcites →https://doi.org/10.5281/zenodo.821731openalex-snapshot
Phishing Websites Detection Based On Web Source Code And Url In The Webpage
inferredcites →https://doi.org/10.7551/mitpress/1120.003.0085openalex-snapshot
Convolution Kernels for Natural Language

What points at this work

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

inferred← citeshttps://doi.org/10.1016/j.ipm.2022.103132openalex-snapshot
Expressing uncertainty in information systems analytics research: A demonstration of Bayesian analysis applied to binary classification problems
inferred← citeshttps://doi.org/10.1109/iscaie51753.2021.9431807openalex-snapshot
Quick Response Code Validation and Phishing Detection Tool
inferred← citeshttps://doi.org/10.1109/syscon53073.2023.10131063openalex-snapshot
Counterfeit Detection in the e-Commerce Industry Using Machine Learning: A Review
inferred← citeshttps://doi.org/10.1145/3475716.3484187openalex-snapshot
Web Application Testing
inferred← citeshttps://doi.org/10.1145/3793302.3793361openalex-snapshot
Evaluating the Use of LLMs for Automated DOM-Level Resolution of Web Performance Issues
inferred← citeshttps://doi.org/10.15587/1729-4061.2022.265961openalex-snapshot
Analysis of the structure of web resources using the object model
inferred← citeshttps://doi.org/10.26599/bdma.2023.9020023openalex-snapshot
E-Commerce Fraud Detection Based on Machine Learning Techniques: Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/app14020919openalex-snapshot
Experimental Evaluation of Possible Feature Combinations for the Detection of Fraudulent Online Shops
inferred← citeshttps://doi.org/10.3390/make5010012openalex-snapshot
Special Issue “Selected Papers from CD-MAKE 2020 and ARES 2020”
inferred← citeshttps://doi.org/10.48550/arxiv.2108.13322openalex-snapshot
Web Application Testing: Using Tree Kernels to Detect Near-duplicate States in Automated Model Inference
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