Feature engineering

Feature engineering is the process of using domain knowledge of the data to create features that make machine learning algorithms work. Feature… (More)
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Papers overview

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2017
2017
Feature engineering is the task of improving predictive modelling performance on a dataset by transforming its feature space… (More)
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2014
2014
Knowledge base construction (KBC) is the process of populating a knowledge base, i.e., a relational database together with… (More)
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Highly Cited
2013
Highly Cited
2013
This paper proposes a framework for automatically engineering features for two important tasks of question answering: answer… (More)
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Highly Cited
2013
Highly Cited
2013
A new generation of data processing systems, including web search, Google’s Knowledge Graph, IBM’s Watson, and several different… (More)
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Highly Cited
2011
Highly Cited
2011
We investigate the potential of Context-Dependent Deep-Neural-Network HMMs, or CD-DNN-HMMs, from a feature-engineering… (More)
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Highly Cited
2010
Highly Cited
2010
KDD Cup 2010 is an educational data mining competition. Participants are asked to learn a model from students’ past behavior and… (More)
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2003
2003
Feature-oriented speciications must be constructed, validated , and veriied diierently from other speciications. The crucial step… (More)
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Highly Cited
1999
Highly Cited
1999
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a… (More)
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Highly Cited
1999
Highly Cited
1999
The gulf between the user and the developer perspectives leads to di culties in producing successful software systems. Users are… (More)
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1998
1998
The notion of feature is widely used to denote the functional structure and visible properties of a software system. More… (More)
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