Using predictive prefetching to improve World Wide Web latency
ACM SIGCOMM Computer Communication Review
Mining frequent patterns without candidate generation
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Efficient Data Mining for Path Traversal Patterns
IEEE Transactions on Knowledge and Data Engineering
Exploiting Data Mining Techniques for Broadcasting Data in Mobile Computing Environments
IEEE Transactions on Knowledge and Data Engineering
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
Location Update Generation in Cellular Mobile Computing Systems
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Mining Indirect Associations in Web Data
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Exploiting Web Log Mining for Web Cache Enhancement
WEBKDD '01 Revised Papers from the Third International Workshop on Mining Web Log Data Across All Customers Touch Points
Allocation of Shared Data Based on Mobile User Movement
MDM '02 Proceedings of the Third International Conference on Mobile Data Management
User Behavior Analysis of Location Aware Search Engine
MDM '02 Proceedings of the Third International Conference on Mobile Data Management
Linear Time Algorithms for Finding Maximal Forward References
ITCC '03 Proceedings of the International Conference on Information Technology: Computers and Communications
Mining User Moving Patterns for Personal Data Allocation in a Mobile Computing System
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
WhatNext: A Prediction System for Web Requests using N-gram Sequence Models
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 1 - Volume 1
Multi-user Driven Path Prediction Algorithm for Mobile Computing
DEXA '03 Proceedings of the 14th International Workshop on Database and Expert Systems Applications
An efficient method for mining associated service patterns in mobile web environments
Proceedings of the 2003 ACM symposium on Applied computing
Exploring group mobility for replica data allocation in a mobile environment
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
Efficient data mining for calling path patterns in GSM networks
Information Systems
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction
Data Mining and Knowledge Discovery
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
Resource allocation for cellular data services using multiagentschemes
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Mining multilevel and location-aware service patterns in mobile web environments
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Energy efficient strategies for object tracking in sensor networks: A data mining approach
Journal of Systems and Software
Web user behaviors prediction system using trend similarity
SMO'07 Proceedings of the 7th WSEAS International Conference on Simulation, Modelling and Optimization
A Hybrid System: Neural Network with Data Mining in an e-Learning Environment
KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference
Journal of Systems and Software
Predicting the location of mobile users: a machine learning approach
Proceedings of the 2009 international conference on Pervasive services
Expert Systems with Applications: An International Journal
Probabilistic context prediction using time-inferred multiple pattern networks
Proceedings of the 2010 ACM Symposium on Applied Computing
Mining Web navigation patterns with a path traversal graph
Expert Systems with Applications: An International Journal
Extensions for continuous pattern mining
IDEAL'11 Proceedings of the 12th international conference on Intelligent data engineering and automated learning
Continuous pattern mining using the FCPGrowth algorithm in trajectory data warehouses
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
A habit mining approach for discovering similar mobile users
Proceedings of the 21st international conference on World Wide Web
Mining user daily behavior patterns from access logs of massive software and websites
Proceedings of the 5th Asia-Pacific Symposium on Internetware
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The development of wireless and web technologies has allowed the mobile users to request various kinds of services by mobile devices at anytime and anywhere. Helping the users obtain needed information effectively is an important issue in the mobile web systems. Discovery of user behavior can highly benefit the enhancements on system performance and quality of services. Obviously, the mobile user's behavior patterns, in which the location and the service are inherently coexistent, become more complex than those of the traditional web systems. In this paper, we propose a novel data mining method, namely SMAP-Mine that can efficiently discover mobile users' sequential movement patterns associated with requested services. Moreover, the corresponding prediction strategies are also proposed. Through empirical evaluation under various simulation conditions, SMAP-Mine is shown to deliver excellent performance in terms of accuracy, execution efficiency and scalability. Meanwhile, the proposed prediction strategies are also verified to be effective in measurements of precision, hit ratio and applicability.