CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
On Data Clustering Analysis: Scalability, Constraints, and Validation
PAKDD '02 Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
Introduction to Data Mining, (First Edition)
Introduction to Data Mining, (First Edition)
Towards a business continuity information network for rapid disaster recovery
dg.o '08 Proceedings of the 2008 international conference on Digital government research
Evolutionary document summarization for disaster management
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Community based emergency response
Proceedings of the 14th Annual International Conference on Digital Government Research
Hi-index | 0.00 |
Crisis Management and Disaster Recovery have gained immense importance in the wake of recent man and nature inflicted calamities. A critical problem in a crisis situation is how to efficiently discover, collect, organize, search and disseminate real-time disaster information. In this paper, we address several key problems which inhibit better information sharing and collaboration between both private and public sector participants for disaster management and recovery. We design and implement a web based prototype implementation of a Business Continuity Information Network (BCIN) system utilizing the latest advances in data mining technologies to create a user-friendly, Internet-based, information-rich service and acting as a vital part of a company's business continuity process. Specifically, information extraction is used to integrate the input data from different sources; the content recommendation engine and the report summarization module provide users personalized and brief views of the disaster information; the community generation module develops spatial clustering techniques to help users build dynamic community in disasters. Currently, BCIN has been exercised at Miami-Dade County Emergency Management.