Fast discovery of association rules
Advances in knowledge discovery and data mining
Authentication via keystroke dynamics
Proceedings of the 4th ACM conference on Computer and communications security
Information mining platforms: an infrastructure for KDD rapid deployment
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Learning users' interests by unobtrusively observing their normal behavior
Proceedings of the 5th international conference on Intelligent user interfaces
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
Expert-Driven Validation of Rule-Based User Models in Personalization Applications
Data Mining and Knowledge Discovery
Signature-Based Methods for Data Streams
Data Mining and Knowledge Discovery
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
Data Mining and Knowledge Discovery
Fast Algorithms for Online Generation of Profile Association Rules
IEEE Transactions on Knowledge and Data Engineering
Client-side monitoring for web mining
Journal of the American Society for Information Science and Technology
Mining Client-Side Activity for Personalization
WECWIS '02 Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS'02)
Java-Based Internet Biometric Authentication System
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Existence and Significance of Data Preprocessing Biases in Web-Usage Mining
INFORMS Journal on Computing
Building and Evaluating Non-Obvious User Profiles for Visitors of Web Sites
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
GHIC: A Hierarchical Pattern-Based Clustering Algorithm for Grouping Web Transactions
IEEE Transactions on Knowledge and Data Engineering
Journal of the American Society for Information Science and Technology
From fingerprint to writeprint
Communications of the ACM - Supporting exploratory search
Cache Cookies for Browser Authentication (Extended Abstract)
SP '06 Proceedings of the 2006 IEEE Symposium on Security and Privacy
User profiling in personal information agents: a survey
The Knowledge Engineering Review
Bayesian adaptive user profiling with explicit & implicit feedback
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Rule-Based Platform for Web User Profiling
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Open user profiles for adaptive news systems: help or harm?
Proceedings of the 16th international conference on World Wide Web
Testing the fraud detection ability of different user profiles by means of FF-NN classifiers
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Privacy-preserving DNS: analysis of broadcast, range queries and mix-based protection methods
ESORICS'11 Proceedings of the 16th European conference on Research in computer security
Live-chat agent assignments to heterogeneous e-customers under imperfect classification
ACM Transactions on Management Information Systems (TMIS)
From data to global generalized knowledge
Decision Support Systems
Preprocessing unbalanced data using support vector machine
Decision Support Systems
Analyzing characteristic host access patterns for re-identification of web user sessions
NordSec'10 Proceedings of the 15th Nordic conference on Information Security Technology for Applications
Building a targeted mobile advertising system for location-based services
Decision Support Systems
Using lexicometry and vocabulary analysis techniques to detect a signature for web profile
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Discovering content-based behavioral roles in social networks
Decision Support Systems
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In this paper, we propose a simple, yet powerful approach to profile users' web browsing behavior for the purpose of user identification. The importance of being able to identify users can be significant given a wide variety of applications in electronic commerce, such as product recommendation, personalized advertising, etc. We create user profiles capturing the strength of users' behavioral patterns, which can be used to identify users. Our experiments indicate that these profiles can be more accurate at identifying users than decision trees when sufficient web activities are observed, and can achieve higher efficiency than Support Vector Machines. The comparisons demonstrate that profile-based methods for user identification provide a viable and simple alternative to this problem.