Mining Popular Topics from the Media
Author:
Affiliation:
1. University of Manitoba,Department of Computer Science,Winnipeg,MB,Canada
2. University of Calabria,iDEA Lab,Rende,Italy
Funder
NSERC
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9842455/9842394/09842514.pdf?arnumber=9842514
Reference75 articles.
1. Enabling OLAP in mobile environments via intelligent data cube compression techniques
2. A Distributed System for Answering Range Queries on Sensor Network Data
3. Event-based lossy compression for effective and efficient OLAP over data streams
4. Overcoming Limitations of Approximate Query Answering in OLAP
5. Fragmenting very large XML data warehouses via K-means clustering algorithm
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