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» Mining for Useful Association Rules Using the ATMS
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DASFAA
2007
IEEE
234views Database» more  DASFAA 2007»
15 years 10 months ago
Estimating Missing Data in Data Streams
Networks of thousands of sensors present a feasible and economic solution to some of our most challenging problems, such as real-time traffic modeling, military sensing and trackin...
Nan Jiang, Le Gruenwald
127
Voted
SDM
2009
SIAM
154views Data Mining» more  SDM 2009»
16 years 1 months ago
AMORI: A Metric-Based One Rule Inducer.
The requirements of real-world data mining problems vary extensively. It is plausible to assume that some of these requirements can be expressed as application-specific performan...
Niklas Lavesson, Paul Davidsson
PAKDD
2005
ACM
102views Data Mining» more  PAKDD 2005»
15 years 9 months ago
Automatic Occupation Coding with Combination of Machine Learning and Hand-Crafted Rules
Abstract. We apply a machine learning method to the occupation coding, which is a task to categorize the answers to open-ended questions regarding the respondent’s occupation. Sp...
Kazuko Takahashi, Hiroya Takamura, Manabu Okumura
ADBIS
2008
Springer
131views Database» more  ADBIS 2008»
15 years 10 months ago
Increasing Expressiveness of Composite Events Using Parameter Contexts
The event-condition-action paradigm (also known as triggers or ECA rules) gives a database “active” capabilities – the ability to react automatically to changes in the databa...
Indrakshi Ray, Wei Huang
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
15 years 8 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...