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» Predicting change impact from logical models
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PERCOM
2010
ACM
15 years 4 months ago
Predicting mobility events on personal devices
High-end mobile phones are quickly becoming versatile sensing platforms, capable of continuously capturing the dynamic context of their owners through various sensors. A change in...
Arjan J. H. Peddemors, Henk Eertink, Ignas G. Niem...
KDD
2007
ACM
160views Data Mining» more  KDD 2007»
16 years 6 months ago
Show me the money!: deriving the pricing power of product features by mining consumer reviews
The increasing pervasiveness of the Internet has dramatically changed the way that consumers shop for goods. Consumergenerated product reviews have become a valuable source of inf...
Nikolay Archak, Anindya Ghose, Panagiotis G. Ipeir...
ACMICEC
2008
ACM
276views ECommerce» more  ACMICEC 2008»
15 years 8 months ago
A Bayesian network for IT governance performance prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT...
Mårten Simonsson, Robert Lagerström, Po...
IWCMC
2006
ACM
16 years 7 days ago
Multipath fading in wireless sensor networks: measurements and interpretation
Multipath fading heavily contributes to the unreliability of wireless links, causing fairly large deviations from link quality predictions based on path loss models; its impact on...
Daniele Puccinelli, Martin Haenggi
VLSID
2006
IEEE
156views VLSI» more  VLSID 2006»
16 years 6 months ago
SEAT-LA: A Soft Error Analysis Tool for Combinational Logic
Radiation induced soft errors in combinational logic is expected to become as important as directly induced errors on state elements. Consequently, it has become important to deve...
Jungsub Kim, Mary Jane Irwin, Narayanan Vijaykrish...