Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Using speculation to reduce server load and service time on the WWW
CIKM '95 Proceedings of the fourth international conference on Information and knowledge management
Using predictive prefetching to improve World Wide Web latency
ACM SIGCOMM Computer Communication Review
Silk from a sow's ear: extracting usable structures from the Web
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The power of amnesia: learning probabilistic automata with variable memory length
Machine Learning - Special issue on COLT '94
Visualizing the evolution of Web ecologies
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Using path profiles to predict HTTP requests
WWW7 Proceedings of the seventh international conference on World Wide Web 7
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Finding related pages in the World Wide Web
WWW '99 Proceedings of the eighth international conference on World Wide Web
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Link prediction and path analysis using Markov chains
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
KDD-Cup 2000 organizers' report: peeling the onion
ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”
Web usage mining: discovery and applications of usage patterns from Web data
ACM SIGKDD Explorations Newsletter
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Mining longest repeating subsequences to predict world wide web surfing
USITS'99 Proceedings of the 2nd conference on USENIX Symposium on Internet Technologies and Systems - Volume 2
Model-Based Clustering and Visualization of Navigation Patterns on a Web Site
Data Mining and Knowledge Discovery
Analysis of topic dynamics in web search
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Evaluating Variable-Length Markov Chain Models for Analysis of User Web Navigation Sessions
IEEE Transactions on Knowledge and Data Engineering
A framework of combining Markov model with association rules for predicting web page accesses
AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Performance analysis of a client-side caching/prefetching system for Web traffic
Computer Networks: The International Journal of Computer and Telecommunications Networking
Mining user navigation patterns for personalizing topic directories
Proceedings of the 9th annual ACM international workshop on Web information and data management
An online PPM prediction model for web prefetching
Proceedings of the 9th annual ACM international workshop on Web information and data management
Knowledge worker intranet behaviour and usability
International Journal of Business Intelligence and Data Mining
Data & Knowledge Engineering
Integrating recommendation models for improved web page prediction accuracy
ACSC '08 Proceedings of the thirty-first Australasian conference on Computer science - Volume 74
Predicting future locations using prediction-by-partial-match
Proceedings of the first ACM international workshop on Mobile entity localization and tracking in GPS-less environments
Long Tail Attributes of Knowledge Worker Intranet Interactions
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Browsing Assistance Service for Intranet Information Systems
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
An ontology-based approach for providing multimedia personalised recommendations
International Journal of Web and Grid Services
A low-order markov model integrating long-distance histories for collaborative recommender systems
Proceedings of the 14th international conference on Intelligent user interfaces
Privacy preserving frequency capping in internet banner advertising
Proceedings of the 18th international conference on World wide web
Algorithm of mining sequential patterns for web personalization services
ACM SIGMIS Database
Self-adaptive utility-based web session management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cost-based admission control for Internet Commerce QoS enhancement
Electronic Commerce Research and Applications
Learning and Predicting Key Web Navigation Patterns Using Bayesian Models
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part II
Learning user clicks in web search
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Using domain ontology for semantic web usage mining and next page prediction
Proceedings of the 18th ACM conference on Information and knowledge management
GUI structural metrics and testability testing
SEA '07 Proceedings of the 11th IASTED International Conference on Software Engineering and Applications
Combination of Web page recommender systems
Expert Systems with Applications: An International Journal
Prediction in wireless networks by Markov Chains
IEEE Wireless Communications
A web page usage prediction scheme using sequence indexing and clustering techniques
Data & Knowledge Engineering
Journal of Biomedical Informatics
Long tails and analysis of knowledge worker intranet browsing behavior
BIS'07 Proceedings of the 10th international conference on Business information systems
Data mining for web personalization
The adaptive web
Online granular prediction model for web prefetching
RSKT'08 Proceedings of the 3rd international conference on Rough sets and knowledge technology
Recsplorer: recommendation algorithms based on precedence mining
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
An integrated model for next page access prediction
International Journal of Knowledge and Web Intelligence
Coauthorship networks and academic literature recommendation
Electronic Commerce Research and Applications
Towards tabbing aware recommendations
Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia
Beyond the usual suspects: context-aware revisitation support
Proceedings of the 22nd ACM conference on Hypertext and hypermedia
A layered approach to revisitation prediction
ICWE'11 Proceedings of the 11th international conference on Web engineering
Combining markov models and association analysis for disease prediction
ITBAM'11 Proceedings of the Second international conference on Information technology in bio- and medical informatics
A suffix tree based prediction scheme for pervasive computing environments
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
Generating dynamic higher-order markov models in web usage mining
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Learning the grammar of distant change in the world-wide web
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Extraction and analysis of knowledge worker activities on intranet
PAKM'06 Proceedings of the 6th international conference on Practical Aspects of Knowledge Management
A hybrid approach for spatial web personalization
W2GIS'05 Proceedings of the 5th international conference on Web and Wireless Geographical Information Systems
Adaptive neuro-fuzzy pedagogical recommender
Expert Systems with Applications: An International Journal
Improving the performance of the web proxy server through group prefetching
Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication
Are web users really Markovian?
Proceedings of the 21st international conference on World Wide Web
Client- and server-side revisitation prediction with SUPRA
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics
Investigation of behavior and perception of digital library users: A cognitive style perspective
International Journal of Information Management: The Journal for Information Professionals
Ontology driven bee's foraging approach based self adaptive online recommendation system
Journal of Systems and Software
A framework of online proxy-based web prefetching
WISM'12 Proceedings of the 2012 international conference on Web Information Systems and Mining
Dimensions as Virtual Items: Improving the predictive ability of top-N recommender systems
Information Processing and Management: an International Journal
Web Page Prediction by Clustering and Integrated Distance Measure
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Discovering temporal hidden contexts in web sessions for user trail prediction
Proceedings of the 22nd international conference on World Wide Web companion
Personalized news recommendation with context trees
Proceedings of the 7th ACM conference on Recommender systems
Efficient Time-Stamped Event Sequence Anonymization
ACM Transactions on the Web (TWEB)
Proceedings of the Fourth International Conference on Learning Analytics And Knowledge
A neurology-inspired model of web usage
Neurocomputing
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The problem of predicting a user's behavior on a Web site has gained importance due to the rapid growth of the World Wide Web and the need to personalize and influence a user's browsing experience. Markov models and their variations have been found to be well suited for addressing this problem. Of the different variations of Markov models, it is generally found that higher-order Markov models display high predictive accuracies on Web sessions that they can predict. However, higher-order models are also extremely complex due to their large number of states, which increases their space and run-time requirements. In this article, we present different techniques for intelligently selecting parts of different order Markov models so that the resulting model has a reduced state complexity, while maintaining a high predictive accuracy.