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KDD
2004
ACM
196views Data Mining» more  KDD 2004»
16 years 7 months ago
Adversarial classification
Essentially all data mining algorithms assume that the datagenerating process is independent of the data miner's activities. However, in many domains, including spam detectio...
Nilesh N. Dalvi, Pedro Domingos, Mausam, Sumit K. ...
KDD
2004
ACM
135views Data Mining» more  KDD 2004»
16 years 7 months ago
Discovering additive structure in black box functions
Many automated learning procedures lack interpretability, operating effectively as a black box: providing a prediction tool but no explanation of the underlying dynamics that driv...
Giles Hooker
KDD
2003
ACM
266views Data Mining» more  KDD 2003»
16 years 7 months ago
Applying data mining in investigating money laundering crimes
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...
CHI
2008
ACM
16 years 7 months ago
The LilyPad Arduino: using computational textiles to investigate engagement, aesthetics, and diversity in computer science educa
The advent of novel materials (such as conductive fibers) combined with accessible embedded computing platforms have made it possible to re-imagine the landscapes of fabric and el...
Leah Buechley, Michael Eisenberg, Jaime Catchen, A...
CHI
2005
ACM
16 years 7 months ago
Location disclosure to social relations: why, when, & what people want to share
Advances in location-enhanced technology are making it easier for us to be located by others. These new technologies present a difficult privacy tradeoff, as disclosing one's...
Sunny Consolvo, Ian E. Smith, Tara Matthews, Antho...