NDLI: Analytics-Enabled Disaster Preparedness and Emergency Management

Content Provider	IEEE Xplore Digital Library
Author	Espana, Karen Trogo, Rhia Faeldon, James Santiago, Juanito Sabido, Delfin Jay
Copyright Year	2014
Abstract	The strongest land falling cyclone, typhoon Haiyan, left in its wake a great need for the government to have a means to monitor damages and manage relief, recovery and rehabilitation efforts. The Intelligent Operations Center for Emergency Management (IOC-EM) was built to address the needs of the Philippine government in the response, recovery and rehabilitation of the affected areas not only of a typhoon such as Haiyan but other calamities as well. These calamities and emergencies may include earthquakes, volcano eruptions and landslides. This paper presents the IOC-EM that integrates and illustrates the data needed by decision makers to make timely and fact-based decisions in the advent of a natural calamity. The data is managed and presented through the use of descriptive analytics. The IOC-EM data warehouse stores historical data that can be used for building more complex predictive and prescriptive analytics models. In this paper, we present the design of the IOC-EM and its data warehouse.
Starting Page	1068
Ending Page	1075
File Size	1983806
Page Count	8
File Format	PDF
e-ISBN	9781479942749
DOI	10.1109/ICDMW.2014.168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tropical cyclones Government Disaster management Data warehouses Predictive models Data Warehouse Disaster Preparedness Emergency services Situational Intelligence Analytics Emergency Management Meteorology
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Predictive analytics with aviation big data

Project data warehouse management with multivariate analysis

Business intelligence: Identify valued customer from the data warehouse in financial institutions

Web-Enabled Data Warehouses

Business Intelligence Modeling: A Case Study of Disaster Management Organization in Pakistan

Data quality in health care data warehouse environments

Predictive analytics with surveillance big data

Business intelligence solutions in healthcare a case study: Transforming OLTP system to BI solution

Financial Decision Support System Research Based on Data Warehouse

Analytics-Enabled Disaster Preparedness and Emergency Management

Similar Documents

Predictive analytics with aviation big data

Project data warehouse management with multivariate analysis

Business intelligence: Identify valued customer from the data warehouse in financial institutions

Web-Enabled Data Warehouses

Business Intelligence Modeling: A Case Study of Disaster Management Organization in Pakistan

Data quality in health care data warehouse environments

Predictive analytics with surveillance big data

Business intelligence solutions in healthcare a case study: Transforming OLTP system to BI solution

Financial Decision Support System Research Based on Data Warehouse

Analytics-Enabled Disaster Preparedness and Emergency Management