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ACSW
2004
15 years 5 months ago
Experiences in Building a Tool for Navigating Association Rule Result Sets
Practical knowledge discovery is an iterative process. First, the experiences gained from one mining run are used to inform the parameter setting and the dataset and attribute sel...
Peter Fule, John F. Roddick
CVPR
2010
IEEE
16 years 7 days ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
HICSS
2002
IEEE
127views Biometrics» more  HICSS 2002»
15 years 9 months ago
What Does It Mean for an Organisation to Be Intelligent? Measuring Intellectual Bandwidth for Value Creation
The importance of electronic collaboration has risen as successful organisations recognize that they need to convert their intellectual resources into goods and services their cus...
Sajda Qureshi, Andries van der Vaart, Gijs Kauling...
AUSDM
2006
Springer
118views Data Mining» more  AUSDM 2006»
15 years 7 months ago
Efficiently Identifying Exploratory Rules' Significance
How to efficiently discard potentially uninteresting rules in exploratory rule discovery is one of the important research foci in data mining. Many researchers have presented algor...
Shiying Huang, Geoffrey I. Webb
SDM
2010
SIAM
156views Data Mining» more  SDM 2010»
15 years 5 months ago
Unsupervised Discovery of Abnormal Activity Occurrences in Multi-dimensional Time Series, with Applications in Wearable Systems
We present a method for unsupervised discovery of abnormal occurrences of activities in multi-dimensional time series data. Unsupervised activity discovery approaches differ from ...
Alireza Vahdatpour, Majid Sarrafzadeh