Agents that reduce work and information overload
Communications of the ACM
Email overload: exploring personal information management of email
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
An experimental framework for email categorization and management
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Reinventing the inbox: supporting the management of pending tasks in email
CHI '02 Extended Abstracts on Human Factors in Computing Systems
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
Incremental Learning in SwiftFile
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Workflow mining: a survey of issues and approaches
Data & Knowledge Engineering
What a to-do: studies of task management towards the design of a personal task list manager
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
ReMail: a reinvented email prototype
CHI '04 Extended Abstracts on Human Factors in Computing Systems
Automatically classifying emails into activities
Proceedings of the 11th international conference on Intelligent user interfaces
groupTime: preference based group scheduling
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Unsupervised and supervised machine learning in user modeling for intelligent learning environments
Proceedings of the 12th international conference on Intelligent user interfaces
Active EM to reduce noise in activity recognition
Proceedings of the 12th international conference on Intelligent user interfaces
A multi-attribute, multi-weight clustering approach to managing ";e-mail overload"
Decision Support Systems
Automatically finding and recommending resources to support knowledge workers' activities
Proceedings of the 13th international conference on Intelligent user interfaces
Discovering frequent work procedures from resource connections
Proceedings of the 14th international conference on Intelligent user interfaces
Using salience to segment desktop activity into projects
Proceedings of the 14th international conference on Intelligent user interfaces
Collaborative workflow assistant for organizational effectiveness
Proceedings of the 2009 ACM symposium on Applied Computing
Proceedings of the 1st Workshop on Context, Information and Ontologies
Managing email overload with an automatic nonparametric clustering system
The Journal of Supercomputing
Activity-centric email: a machine learning approach
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Extracting knowledge about users' activities from raw workstation contents
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Discovering Structured Event Logs from Unstructured Audit Trails for Workflow Mining
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
Exposing parameters of a trained dynamic model for interactive music creation
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Finding topics in email using formal concept analysis and fuzzy membership functions
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Managing email overload with an automatic nonparametric clustering approach
NPC'07 Proceedings of the 2007 IFIP international conference on Network and parallel computing
Discovery and analysis of e-mail-driven business processes
Information Systems
Journal of Intelligent Information Systems
Capturing Common Knowledge about Tasks: Intelligent Assistance for To-Do Lists
ACM Transactions on Interactive Intelligent Systems (TiiS) - Special Issue on Common Sense for Interactive Systems
Personalized email recommender system based on user actions
SEAL'12 Proceedings of the 9th international conference on Simulated Evolution and Learning
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Many structured activities are managed by email. For instance, a consumer purchasing an item from an e-commerce vendor may receive a message confirming the order, a warning of a delay, and then a shipment notification. Existing email clients do not understand this structure, forcing users to manage their activities by sifting through lists of messages. As a first step to developing email applications that provide high-level support for structured activities, we consider the problem of automatically learning an activity's structure. We formalize activities as finite-state automata, where states correspond to the status of the process, and transitions represent messages sent between participants. We propose several unsupervised machine learning algorithms in this context, and evaluate them on a collection of e-commerce email.