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149
Voted
KDD
2009
ACM
208views Data Mining» more  KDD 2009»
16 years 5 months ago
A principled and flexible framework for finding alternative clusterings
The aim of data mining is to find novel and actionable insights in data. However, most algorithms typically just find a single (possibly non-novel/actionable) interpretation of th...
Zijie Qi, Ian Davidson
KDD
2006
ACM
153views Data Mining» more  KDD 2006»
16 years 5 months ago
Semi-supervised time series classification
The problem of time series classification has attracted great interest in the last decade. However current research assumes the existence of large amounts of labeled training data...
Li Wei, Eamonn J. Keogh
KDD
2002
ACM
182views Data Mining» more  KDD 2002»
16 years 5 months ago
On the need for time series data mining benchmarks: a survey and empirical demonstration
In the last decade there has been an explosion of interest in mining time series data. Literally hundreds of papers have introduced new algorithms to index, classify, cluster and s...
Eamonn J. Keogh, Shruti Kasetty
138
Voted
CHI
2007
ACM
16 years 5 months ago
CAAD: an automatic task support system
Recent HCI research shows a strong interest in task management systems (e.g. [19, 27]) that support the multitasked nature of information work [13]. These systems either require m...
Tye Rattenbury, John F. Canny
CHI
2004
ACM
16 years 5 months ago
Labeling images with a computer game
We introduce a new interactive system: a game that is fun and can be used to create valuable output. When people play the game they help determine the contents of images by provid...
Luis von Ahn, Laura Dabbish