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https://www.cs.vt.edu/~naren/papers/SIGKDDExplorations2006-pandemic.pdf
Data mining in support for pandemic preparedness is an important and rich application area, with many significant research challenges. Summarizing and adding to the issues identified above, we identify six key areas where data mining research must make progress: Algorithms for fast computations of multi-level net-
https://dl.acm.org/doi/10.1145/1147234.1147246
Effective detection of and response to pandemic disease outbreaks require significant advances in data mining. Contributions to the recently held SIAM DM 2006 Workshop on Spatial Data Mining highlighted key challenges, directions, and progress in this context. We summarize here the main themes presented at the workshop as well as promising research directions for the data mining community.Author: Bailey-KelloggChris, RamakrishnanNaren, V MaratheMadhav
https://www.researchgate.net/publication/220520313_Spatial_data_mining_to_support_pandemic_preparedness
Spatial data mining to support pandemic preparedness. ... Contri- butions to the recently held SIAM DM 2006 Workshop on Spatial Data Mining highlighted key challenges, directions, and progress in ...
https://dl.acm.org/citation.cfm?id=1147234.1147246
Effective detection of and response to pandemic disease outbreaks require significant advances in data mining. Contributions to the recently held SIAM DM 2006 Workshop on Spatial Data Mining highlighted key challenges, directions, and progress in this context. We summarize here the main themes presented at the workshop as well as promising research directions for the data mining community.Cited by: 120
https://core.ac.uk/display/24544868
Spatial Data Mining to Support Pandemic Preparedness ABSTRACT . By Chris Bailey-kellogg. Abstract. Effective detection of and response to pandemic disease outbreaks require significant advances in data mining. Contributions to the recently held SIAM DM 2006 Workshop on Spatial Data Mining highlighted key challenges, directions, and progress in ...Author: Chris Bailey-kellogg
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.8632
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Effective detection of and response to pandemic disease outbreaks require significant advances in data mining. Contributions to the recently held SIAM DM 2006 Workshop on Spatial Data Mining highlighted key challenges, directions, and progress in this context. We summarize here the main themes presented at the ...
http://core.ac.uk/display/20809906
Abstract. Effective detection of and response to pandemic disease outbreaks require significant advances in data mining. Contributions to the recently held SIAM DM 2006 Workshop on Spatial Data Mining highlighted key challenges, directions, and progress in this context.
https://www.cs.dartmouth.edu/~cbk/sdm06/marathe-sdm-webcopy.pdf
Comprehensive Incident Characterization to Support Pandemic Preparedness ... a part of Workshop on Spatial Data Mining held as a part of the Annual SIAM Data Mining Conference, April 2006. Organizers: Professors Naren Ramakrishnan, Virginia Tech & Chris ... Data Mining Challenges to Support Pandemic Preparedness.
https://www.researchgate.net/profile/Diansheng_Guo/publication/220649503_Visual_analytics_of_spatial_interaction_patterns_for_pandemic_decision_support/links/02e7e52530f7937d89000000.pdf
Visual analytics of spatial interaction patterns for pandemic decision support ... decision-making in pandemic preparedness and response. ... Visual analytics of spatial interaction patterns 861.
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.114.888
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Effective detection of and response to pandemic disease outbreaks require significant advances in data mining. Contributions to the recently held SIAM DM 2006 Workshop on Spatial Data Mining highlighted key challenges, directions, and progress in this context. We summarize here the main themes presented at the ...
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692842/
Spatio-Temporal Mining of Core Regions -Study of rainfall patterns in Monsoonal India. 11th IEEE International Conference on Data Mining Workshops (ICDMW); 2011. pp. 30–37. 2. Bailey-Kellogg Chris, et al. Spatial Data Mining to Support Pandemic Preparedness.
https://www.tandfonline.com/doi/abs/10.1080/13658810701349037
The discovered spatial interaction patterns provide valuable insight for designing effective pandemic mitigation strategies and supporting decision‐making in time‐critical situations. Keywords: Spatial data mining , Visual analytics , Spatial interaction , Graph partitioning , Pandemic , Decision support
https://www.researchgate.net/publication/238271997_Model_Based_Spatial_Data_Mining_for_Power_Markets
Model Based Spatial Data Mining for Power Markets. ... Spatial data mining to support pandemic preparedness. ... Contri- butions to the recently held SIAM DM 2006 Workshop on Spatial Data Mining ...
https://www.researchgate.net/profile/Diansheng_Guo/publication/220649503_Visual_analytics_of_spatial_interaction_patterns_for_pandemic_decision_support/links/02e7e52530f7937d89000000.pdf
Visual analytics of spatial interaction patterns for pandemic decision support ... decision-making in pandemic preparedness and response. ... Visual analytics of spatial interaction patterns 861.
https://www.cs.dartmouth.edu/~cbk/sdm06/
Apr 22, 2006 · challenge: pandemic preparedness: Home. News: the agenda for the workshop ... The purpose of the SIAM-DM 2006 Workshop on Spatial Data Mining is to bring together researchers from areas of spatial data mining, spatial modeling, and applications, and provide a forum for exchanging ideas, fostering collaborations, and gaining momentum. ...
http://scholar.google.com/citations?user=-cwEbxUAAAAJ&hl=en
New citations to this author. New articles related to this author's research. Email address for updates. ... Gaussian processes for active data mining of spatial aggregates. N Ramakrishnan, C Bailey-Kellogg, S Tadepalli, VN Pandey ... Spatial data mining to support pandemic preparedness. C Bailey-Kellogg, N Ramakrishnan, MV Marathe.
http://scholar.google.com/citations?user=fMJwG7MAAAAJ&hl=en
This "Cited by" count includes citations to the following articles in Scholar. ... Gaussian processes for active data mining of spatial aggregates. N Ramakrishnan, C Bailey-Kellogg, S Tadepalli, VN Pandey ... Spatial data mining to support pandemic preparedness. C Bailey-Kellogg, N Ramakrishnan, MV Marathe. SIGKDD Explorations 8 (1), 80-82 ...
https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-35973-1_440
Active data mining Gaussian processes (GPs) are local approximation techniques that model spatial data by placing (and updating) priors on the covariance structures underlying the data. ... Spatial Data Mining for Pandemic Preparedness. ACM SIGKDD Explorations 8(1), 80–82 (2006) CrossRef Google Scholar. 2. Guestrin, C., Krause, A., Singh, A.P ...
https://www.semanticscholar.org/paper/Data-Mining-in-Healthcare-%3A-Current-Applications-By-Canlas/0acb878637612377ed547627dfdeeb266204dd97
The successful application of data mining in highly visible fields like e-business, marketing and retail have led to the popularity of its use in knowledge discovery in databases (KDD) in other industries and sectors. Among these sectors that are just discovering data mining are the fields of medicine and public health. This research paper provides a survey of current techniques of KDD, using ...
https://www.coursehero.com/file/p7e4hmo/D-a-t-a-M-i-n-i-n-g-i-n-H-e-a-l-t-h-c-a-r-e-10-Bibliography-Audain-C-2007/
"Application of data mining techniques in pharmacovigilance". British Journal of Clini-cal Pharmacology. (57) 2, 127-134. Witten, I. H. and Frank, E. (2005). Data min-ing : practical machine learning tools and techniques. Morgan Kaufmann series in data management systems. Morgan Kaufman.
https://journals.uic.edu/ojs/index.php/ojphi/article/download/4379/3430
1. K Sravanthi, K S Rajan: Spatio-Temporal Mining of Core Regions - Study of rainfall patterns in Monsoonal India. 11th IEEE International Conference on Data Mining Workshops (ICDMW) 2011, pp.30-37 2. Chris Bailey-Kellogg et al.: Spatial Data Mining to Support Pandemic Preparedness. ACM SIGKDD Explorations Newsletter. 2006; 8(1):80-82
https://www.kdd.org/explorations/print/flow-pot-mould.html/P25
Mining Motion Patterns using Color Motion Map Clustering [3] ... Spatial Data Mining to Support Pandemic Preparedness [80] The Problem of Disguised Missing Data [83] ... Data Mining Methods for Anomaly Detection KDD-2005 Workshop Report [132] Data Mining Standards, Services and Platforms 2005 Workshop Report [137] ...
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