Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Taking email to task: the design and evaluation of a task management centered email tool
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Mining Process Models from Workflow Logs
EDBT '98 Proceedings of the 6th International Conference on Extending Database Technology: Advances in Database Technology
From run-time behavior to usage scenarios: an interaction-pattern mining approach
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
CloseGraph: mining closed frequent graph patterns
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Probabilistic discovery of time series motifs
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Describing documents: what can users tell us?
Proceedings of the 9th international conference on Intelligent user interfaces
A quickstart in frequent structure mining can make a difference
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Automated email activity management: an unsupervised learning approach
Proceedings of the 10th international conference on Intelligent user interfaces
TaskTracer: a desktop environment to support multi-tasking knowledge workers
Proceedings of the 10th international conference on Intelligent user interfaces
Mining and Reasoning on Workflows
IEEE Transactions on Knowledge and Data Engineering
No task left behind?: examining the nature of fragmented work
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Automatically classifying emails into activities
Proceedings of the 11th international conference on Intelligent user interfaces
Unsupervised and supervised machine learning in user modeling for intelligent learning environments
Proceedings of the 12th international conference on Intelligent user interfaces
What do people recall about their documents?: implications for desktop search tools
Proceedings of the 12th international conference on Intelligent user interfaces
Provenance-aware storage systems
ATEC '06 Proceedings of the annual conference on USENIX '06 Annual Technical Conference
Automatic capture and reconstruction of computational provenance
Concurrency and Computation: Practice & Experience - The First Provenance Challenge
CoScripter: automating & sharing how-to knowledge in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Using provenance to aid in personal file search
ATC'07 2007 USENIX Annual Technical Conference on Proceedings of the USENIX Annual Technical Conference
Mining Interpretable Human Strategies: A Case Study
ICDM '07 Proceedings of the 2007 Seventh IEEE International Conference on Data Mining
Extracting knowledge about users' activities from raw workstation contents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Discovering multivariate motifs using subsequence density estimation and greedy mixture learning
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Improving activity discovery with automatic neighborhood estimation
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Real-time detection of task switches of desktop users
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A context driven approach for workflow mining
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Temporal task footprinting: identifying routine tasks by their temporal patterns
Proceedings of the 15th international conference on Intelligent user interfaces
RECYCLE: Learning looping workflows from annotated traces
ACM Transactions on Intelligent Systems and Technology (TIST)
Modeling Data for Enterprise Systems with Memories
Journal of Database Management
LiveAction: Automating Web Task Model Generation
ACM Transactions on Interactive Intelligent Systems (TiiS)
Virtual butler: what can we learn from adaptive user interfaces?
Your Virtual Butler
Understanding users' behavior with software operation data mining
Computers in Human Behavior
| Hi-index | 0.00 |
Intelligent desktop assistants could provide more help for users if they could learn models of the users' workflows. However, discovering desktop workflows is difficult because they unfold over extended periods of time (days or weeks) and they are interleaved with many other workflows because of user multi-tasking. This paper describes an approach to discovering desktop workflows based on rich instrumentation of information flow actions such as copy/paste, SaveAs, file copy, attach file to email message, and save attachment. These actions allow us to construct a graph whose nodes are files, email messages, and web pages and whose edges are these information flow actions. A class of workflows that we call work procedures can be discovered by applying graph mining algorithms to find frequent subgraphs. This paper describes an algorithm for mining frequent closed connected subgraphs and then describes the results of applying this method to data collected from a group of real users.