Implementing agglomerative hierarchic clustering algorithms for use in document retrieval
Information Processing and Management: an International Journal
Term-weighting approaches in automatic text retrieval
Information Processing and Management: an International Journal
A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information management for the intelligent organization (2nd ed.): the art of scanning the environment
Document clustering for electronic meetings: an experimental comparison of two techniques
Decision Support Systems - From information retrieval to knowledge management: enabling technologies and best practices
Learning Approaches for Detecting and Tracking News Events
IEEE Intelligent Systems
Explorations within topic tracking and detection
Topic detection and tracking
Topic-conditioned novelty detection
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
On-line new event detection, clustering, and tracking (information retrieval, internet)
On-line new event detection, clustering, and tracking (information retrieval, internet)
Simple Semantics in Topic Detection and Tracking
Information Retrieval
Event detection from online news documents for supporting environmental scanning
Decision Support Systems - Special issue: Knowledge management technique
Newsjunkie: providing personalized newsfeeds via analysis of information novelty
Proceedings of the 13th international conference on World Wide Web
Text classification and named entities for new event detection
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Event threading within news topics
Proceedings of the thirteenth ACM international conference on Information and knowledge management
Taking Topic Detection From Evaluation to Practice
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Detecting Buzz from Time-Sequenced Document Streams
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
Investigations on event evolution in TDT
NAACLstudent '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: Proceedings of the HLT-NAACL 2003 student research workshop - Volume 3
Using names and topics for new event detection
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
New event detection based on indexing-tree and named entity
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Journal of Management Information Systems
A collaborative filtering-based approach to personalized document clustering
Decision Support Systems
Multi-document summarization by sentence extraction
NAACL-ANLP-AutoSum '00 Proceedings of the 2000 NAACL-ANLP Workshop on Automatic Summarization
Discovering Event Evolution Patterns From Document Sequences
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Mining event temporal boundaries from news corpora through evolution phase discovery
WAIM'11 Proceedings of the 12th international conference on Web-age information management
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When performing environmental scanning, organizations typically deal with a numerous of events and topics about their core business, relevant technique standards, competitors, and market, where each event or topic to monitor or track generally is associated with many news documents. To reduce information overload and information fatigues when monitoring or tracking such events, it is essential to develop an effective event episode discovery mechanism for organizing all news documents pertaining to an event of interest. In this study, we propose a new metric, referred to as TFxIDFTempo and develop a temporal-based event episode discovery technique that uses the proposed TFxIDFTempo metric as its feature selection method and document representation scheme. Using the traditional TFxIDF-based HAC technique as performance benchmarks, our empirical evaluation results suggest that the proposed temporal-based event episode discovery technique outperforms its benchmark in cluster recall and cluster precision.