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» Mining Multiple Large Databases
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ICASSP
2009
IEEE
15 years 5 months ago
Summarization of large scale social network activity
This paper presents a novel social media summarization framework. Summarizing media created and shared in large scale online social networks unfolds challenging research problems....
Yu-Ru Lin, Hari Sundaram, Aisling Kelliher
111
Voted
CORR
2010
Springer
155views Education» more  CORR 2010»
15 years 1 months ago
Data-driven Co-clustering Model of Internet Usage in Large Mobile Societies
Design and simulation of future mobile networks will center around human interests and behavior. We propose a design paradigm for mobile networks driven by realistic models of use...
Saeed Moghaddam, Ahmed Helmy, Sanjay Ranka, Manas ...
129
Voted
EDBT
2006
ACM
122views Database» more  EDBT 2006»
16 years 1 months ago
TQuEST: Threshold Query Execution for Large Sets of Time Series
Effective and efficient data mining in time series databases is essential in many application domains as for instance in financial analysis, medicine, meteorology, and environmenta...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
KDD
2008
ACM
206views Data Mining» more  KDD 2008»
16 years 2 months ago
Identifying biologically relevant genes via multiple heterogeneous data sources
Selection of genes that are differentially expressed and critical to a particular biological process has been a major challenge in post-array analysis. Recent development in bioin...
Zheng Zhao, Jiangxin Wang, Huan Liu, Jieping Ye, Y...
120
Voted
SSDBM
2005
IEEE
184views Database» more  SSDBM 2005»
15 years 7 months ago
Optimizing Multiple Top-K Queries over Joins
Advanced Data Mining applications require more and more support from relational database engines. Especially clustering applications in high dimensional features space demand a pr...
Dirk Habich, Wolfgang Lehner, Alexander Hinneburg