Data mining meets the needs of disaster information management

IEEE Transactions on Human-Machine Systems

Volumn 43, Issue 5, 2013, Pages 451-464

  Zheng, Li ^a   Shen, Chao ^a   Tang, Liang ^a   Zeng, Chunqiu ^a   Li, Tao ^a   Luis, Steve ^a   Chen, Shu Ching ^a  

^a FLORIDA INTERNATIONAL UNIVERSITY   (United States)

Author keywords

Data mining; Disaster information management; Dynamic query form; Hierarchical summarization; User recommendation

Indexed keywords

COMMUNITY ORGANIZATIONS; DIFFERENT GRANULARITIES; DISASTER INFORMATION MANAGEMENTS; DISASTER RECOVERY PLANNING; DYNAMIC QUERY; HIERARCHICAL SUMMARIZATION; INFORMATION NETWORK SYSTEM; USER RECOMMENDATIONS;

DATA MINING; DISASTERS; IMAGE RETRIEVAL; INFORMATION SERVICES; MOBILE DEVICES; RECOVERY;

INFORMATION MANAGEMENT;

EID: 84893039210     PISSN: 21682291     EISSN: None     Source Type: Journal    
DOI: 10.1109/THMS.2013.2281762     Document Type: Article

References (43)

1. H. Muson, "Preparing for the worst: A guide to business continuity planning for mid-markets," Executive Action Series, The Conference Board, Rep. A-0179-06-EA, Feb. 2006.
2. FEMA public Private Partnership Models. [Online]. Available: http://www.fema.gov/pri-vatesector/ppp-models.shtmunderMiami-DadeCounty.
3. K. Saleem, S. Luis, Y. Deng, S.-C. Chen, V. Hristidis, and T. Li, "Towards a business continuity information network for rapid disaster recovery," in Proc. Int. Digit. Gov. Res. Conf., 2008, pp. 107-116.
4. V. Hristidis, S. Chen, T. Li, S. Luis, and Y. Deng, "Survey of data management and analysis in disaster situations," J. Syst. Softw., vol. 83, pp. 1701-1714, 2010.
5. L. Zheng, C. Shen, L. Tang, T. Li, S. Luis, S. Chen, andV. Hristidis, "Using data mining techniques to address critical information exchange needs in disaster affected public-private networks," in Proc.16th ACM SIGKDD Int. Conf. Knowl. Discovery Data Mining, 2010, vol. 10, pp. 125-134.
6. J. Lafferty, A. McCallum, and F. Pereira, "Conditional random fields: Probabilistic models for segmenting and labeling sequence data," in Proc. 18th Int. Conf. Mach. Learning, 2001, pp. 282-289.
7. F. Sha and F. Pereira, "Shallow parsing with conditional random fields," in Proc. HLT-NAACL, 2003, pp. 131-141.
8. C. W. Hsu and C. J. Lin, "A comparison of methods for multiclass support vector machines," IEEE Trans. Neural Netw., vol. 13, no. 2, pp. 415-425, Mar. 2002.
9. B. J. Frey and D. Dueck, "Clustering by passing messages between data points," Science, vol. 21, pp. 972-976, 2007. (Pubitemid 46281181)
10. G. Erkan and D. R. Radev, "Lexpagerank: Prestige in multi-document text summarization," in Proc. Empirical Methods Natural Language Process., 2004, pp. 365-371.
11. G. Salton and M. J. McGill, Introduction toModern Information Retrieval. New York, NY, USA: McGraw-Hill, 1983.
12. P. N. Tan, M. Steinbach, and V. Kumar, Introduction to Data Mining. Reading, MA, USA: Addison-Wesley, 2005.
13. J. Han and M. Kamber, Data Mining Concepts and Techniques, 2nd ed. San Mateo, CA, USA: Morgan Kaufmann.
14. M. Jayapandian andH. V. Jagadish, "Automated creation of a forms-based database query interface," in Proc. VLDB, 2008, pp. 695-709.
15. M. Jayapandian and H. V. Jagadish, "Expressive query specification through form customization," in Proc. 11th Int. Conf. Extending Database Technol., 2008, pp. 416-427. (Pubitemid 351661721)
16. M. Jayapandian and H. V. Jagadish, "Automating the design and construction of query forms," IEEE Trans. Knowl. Data Eng., vol. 21, no. 10, pp. 1389-1402, Oct. 2009.
17. P. P. Talukdar, M. Jacob, M. S. Mehmood, K. Crammer, Z. G. Ives, F. Pereira, and S. Guha, "Learning to create data-integrating queries," in Proc. VLDB, 2008, pp. 785-796.
18. H. Tong, C. Faloutsos, and J. Pan, "Fast random walk with restart and its application," in Proc. 6th Int. Conf. Data Mining, 2006, pp. 613-622.
19. M. Ester, H. P. Kriegel, J. Sander, and X. Xu, "A density-based algorithm for discoverying clusters in large databases with noise," in Proc. Int. Conf. Knowl. Discovery Data Mining, 1996, pp. 226-231.
20. C. H. Lee, "Density-based clustering of spatial data in the presence of physical constraints," Master's thesis, Univ. Alberta, Edmonton, AB, Canada, Jul. 2002.
21. M. D. Choudhury, W. A. Mason, Jake M. Hofman, and Duncan J. Watts, "Inferring relevant social networks from interpersonal communication," in Proc. 19th Int. Conf. World Wide Web, Apr. 26-30, 2010, pp. 301-310.
22. I. Kahanda and J. Neville, "Using transactional information to predict link strength in online social networks," in Proc. 3rd Int. Conf. Weblogs Social Media, Jun. 2009, pp. 74-81.
23. S. Yoo, Y. Yang, F. Lin, and I. Moon, "Mining social networks for personalized email prioritization," presented at the 15th ACM SIGKDD Int. Conf. Knowledge Discovery Data Mining, Paris, France, Jun. 28-Jul. 01, 2009.
24. V. R. Carvalho and W. W. Cohen, "Ranking users for intelligent message addressing," presented the 30th Eur. Conf. Advances Information Retrieval, Glasgow, U.K., Mar. 30-Apr. 03, 2008.
25. I. Horn, A. Leichtberg, N. Leiser, Y. Matias, and R. Merom, "Suggesting friends using the implicit social graph," in Proc. Int. Conf. Knowl. Discovery Data Mining, 2010, pp. 233-242.
26. O. R. Aaiane, A. Foss, C. H. Lee, and W. Wang, "On data clustering analysis: Scalability, constraints, and validation," in Proc. 6th Pacific-Asia Conf. Adv. Knowl. Discovery Data Mining, 2002, pp. 28-39.
27. Twitter API. [Online]. Available: http://apiwiki.twitter.com
28. FEMA. [Online]. Available: http://www.fema.gov
29. L. Zheng, C. Shen, L. Tang, T. Li, S. Luis, and S. Chen, "Applying data mining techniques to address disaster informationmanagement challenges on mobile devices," in Proc. Int. Conf. Knowl. Discovery Data Mining, 2011, vol. 11, pp. 283-291.
30. D. McEntire, "The status of emergency management theory: Issues, barriers and recommendations for improved scholarship," presented at the FEMA Higher Education Conf., Emmitsburg, MO, USA, 2004.
31. GeoVISTA. [Online]. Available: http://www.geovista.psu.edu
32. C. X. Zhai and J. Lafferty, "A study of smoothing methods for language models applied to ad hoc information retrieval," in Proc. SIGIR, 2001, pp. 334-342. (Pubitemid 32957519)
33. C. Lin, "Rouge: A package for automatic evaluation of summaries," in Proc. Workshop ACL, 2004, pp. 25-26.
34. E. Brill, "Part-of-speech tagging," in Handbook of Natural Language Processing. Boca Raton, FL, USA: CRC Press, 2000, pp. 403-414.
35. The Puerto Rico Disaster Decision Support Tool (DDST). [Online]. Available: http://www.udel.edu/DRC/DDST/
36. E. J. Bass, L. A. Baumgart, B. Philips, K. Kloesel, K. Dougherty, H. Rodríguez, W. Díaz, W. Donner, J. Santos, and M. Zink, "Incorporating emergency management needs in the development of weather radar networks," J. Emergency Manage., vol. 7, no. 1, pp. 45-52, 2009.
37. L. A. Baumgart, E. J. Bass, B. Philips, and K. Kloesel, "Emergency management decision-making during severe weather," Weather Forecasting, vol. 23, no. 6, pp. 1268-1279, 2008.
38. C. E. League, W. Díaz, B. Philips, E. J. Bass, K. A. Kloesel, E. C. Gruntfest, and A. Gessner, "Emergency manager decision-making and tornado warning communication," Meteorological Appl., vol. 17, no. 2, pp. 163-172, 2010.
39. WebEOC. [Online]. Available: Manufactured by ESi Acquisition, Inc. http://www.esi911.com/home
40. E-Teams, by NC4. [Online]. Available: http://www.nc4.us/ETeam.php
41. National Emergency Management Network. [Online]. Available: http:// www.nemn.net/
42. L. Li and T. Li, "An empirical study of ontology-based multi-document summarization in disaster management," IEEE Trans. SMC: Syst., 2013, in press.
43. L. Tang, T. Li, Y. Jiang, and Z. Chen, "Dynamic query forms for database queries," IEEE Trans. Knowl. Data Eng., 2013, in press.