Paper Info
Title
Taming Big Data: Integrating diverse public data sources for economic competitiveness analytics
Abstract
In an era where Big Data can greatly impact a broad population, many novel opportunities arise, chief among them the ability to integrate data from diverse sources and \"wrangle\" it to extract novel insights. Conceived as a tool that can help both expert and non-expert users better understand public data, MATTERS was collaboratively developed by the Massachusetts High Tech Council, WPI and other institutions as an analytic platform offering dynamic modeling capabilities. MATTERS is an integrative data source on high fidelity cost and talent competitiveness metrics. Its goal is to extract, integrate and model rich economic, financial, educational and technological information from renowned heterogeneous web data sources ranging from The US Census Bureau, The Bureau of Labor Statistics to the Institute of Education Sciences, all known to be critical factors influencing economic competitiveness of states. This demonstration of MATTERS illustrates how we tackle challenges of data acquisition, cleaning, integration and wrangling into appropriate representations, visualization and story-telling with data in the context of state competitiveness in the high-tech sector.
Year
DOI
Venue
2014
10.1145/2658840.2658845
Data4U@VLDB
Keywords
Field
DocType
big data,data integration,data warehouse and repository,diverse data sources
Data science,Data integration,Population,Data mining,Visualization,Computer science,Data acquisition,System dynamics,High tech,Analytics,Big data,Database
Conference
Citations 
PageRank 
References 
0
0.34
4
Authors
12
Name
Order
Citations
PageRank
Rodica Neamtu194.26
Ramoza Ahsan263.53
Jeff Stokes300.34
Armend Hoxha440.82
Jialiang Bao500.34
Stefan Gvozdenovic612.71
Ted Meyer700.34
Nilesh Patel800.68
Raghu Rangan900.34
Yumou Wang1000.34
Dongyun Zhang1100.68
Elke A. Rundensteiner124076700.65