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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 ...
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
2001
ACM
253views Data Mining» more  KDD 2001»
16 years 7 months ago
GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces
The similarity join is an important operation for mining high-dimensional feature spaces. Given two data sets, the similarity join computes all tuples (x, y) that are within a dis...
Jens-Peter Dittrich, Bernhard Seeger
CHI
2005
ACM
16 years 7 months ago
MusicCube: making digital music tangible
To some extent listening to digital music via storage devices has led to a loss of part of the physical experience associated with earlier media formats such as CDs and LPs. For e...
Miguel Bruns Alonso, David V. Keyson
CHI
2004
ACM
16 years 7 months ago
Master usability scaling: magnitude estimation and master scaling applied to usability measurement
Master Usability Scaling (MUS) is a measurement method for developing a universal usability continuum based on magnitude estimation and master scaling. The universal usability con...
Mick McGee
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