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» Large Scale Data Mining: Challenges and Responses
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SIGCOMM
2010
ACM
15 years 6 months ago
c-Through: part-time optics in data centers
Data-intensive applications that operate on large volumes of data have motivated a fresh look at the design of data center networks. The first wave of proposals focused on designi...
Guohui Wang, David G. Andersen, Michael Kaminsky, ...
ICDM
2009
IEEE
167views Data Mining» more  ICDM 2009»
16 years 24 days ago
A Framework for Computing the Privacy Scores of Users in Online Social Networks
—A large body of work has been devoted to address corporate-scale privacy concerns related to social networks. The main focus was on how to share social networks owned by organiz...
Kun Liu, Evimaria Terzi
CIDR
2007
101views Algorithms» more  CIDR 2007»
15 years 7 months ago
The Data Ring: Community Content Sharing
Information ubiquity has created a large crowd of users (most notably scientists), who could employ DBMS technology to process and share their data more effectively. Still, this ...
Serge Abiteboul, Neoklis Polyzotis
CSMR
2004
IEEE
15 years 10 months ago
A Distributed Architecture for Dynamic Analyses on User-Profile Data
Combining static and dynamic information is highly relevant in many reverse engineering, program comprehension and maintenance task. Dynamic analysis is particularly effective whe...
Giuliano Antoniol, Massimiliano Di Penta
206
Voted
ICPP
2000
IEEE
15 years 10 months ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary