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ISI
2008
Springer
15 years 6 months ago
Probabilistic frameworks for privacy-aware data mining
Often several cooperating parties would like to have a global view of their joint data for various data mining objectives, but cannot reveal the contents of individual records due...
Joydeep Ghosh
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
16 years 7 months ago
Predicting customer shopping lists from point-of-sale purchase data
This paper describes a prototype that predicts the shopping lists for customers in a retail store. The shopping list prediction is one aspect of a larger system we have developed ...
Chad M. Cumby, Andrew E. Fano, Rayid Ghani, Marko ...
CCGRID
2007
IEEE
16 years 1 months ago
Integrated Data Reorganization and Disk Mapping for Reducing Disk Energy Consumption
Increasing power consumption of high-performance systems leads to reliability, survivability, and cooling related problems. Motivated by this observation, several recent efforts f...
Seung Woo Son, Mahmut T. Kandemir
GECCO
2005
Springer
156views Optimization» more  GECCO 2005»
16 years 10 days ago
Extraction of informative genes from microarray data
Identification of those genes that might anticipate the clinical behavior of different types of cancers is challenging due to availability of a smaller number of patient samples...
Topon Kumar Paul, Hitoshi Iba
KDD
2005
ACM
149views Data Mining» more  KDD 2005»
16 years 9 days ago
A distributed learning framework for heterogeneous data sources
We present a probabilistic model-based framework for distributed learning that takes into account privacy restrictions and is applicable to scenarios where the different sites ha...
Srujana Merugu, Joydeep Ghosh