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» Data Wrangling for Big Data: Challenges and Opportunities
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CAINE
2009
14 years 9 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
ICDM
2008
IEEE
252views Data Mining» more  ICDM 2008»
15 years 6 months ago
Data Mining for Climate Change and Impacts
Knowledge discovery from temporal, spatial and spatiotemporal data is critical for climate change science and climate impacts. Climate statistics is a mature area. However, recent...
Auroop R. Ganguly, Karsten Steinhaeuser
SIGMOD
2009
ACM
175views Database» more  SIGMOD 2009»
15 years 12 months ago
Keyword search on structured and semi-structured data
Empowering users to access databases using simple keywords can relieve the users from the steep learning curve of mastering a structured query language and understanding complex a...
Yi Chen, Wei Wang 0011, Ziyang Liu, Xuemin Lin
KDD
2002
ACM
193views Data Mining» more  KDD 2002»
16 years 5 days ago
Query, analysis, and visualization of hierarchically structured data using Polaris
In the last several years, large OLAP databases have become common in a variety of applications such as corporate data warehouses and scientific computing. To support interactive ...
Chris Stolte, Diane Tang, Pat Hanrahan
ICDE
2006
IEEE
134views Database» more  ICDE 2006»
15 years 5 months ago
Three Case Studies of Large-Scale Data Flows
We survey three examples of large-scale scientific workflows that we are working with at Cornell: the Arecibo sky survey, the CLEO high-energy particle physics experiment, and t...
William Y. Arms, Selcuk Aya, Manuel Calimlim, Jim ...