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FEATURE TRANSFORMATION: A GENETIC-BASED FEATURE CONSTRUCTION METHOD FOR DATA SUMMARIZATION.

• Authors : ALFRED, RAYNER¹

• Source: Computational Intelligence. Aug2010, Vol. 26 Issue 3, p337-357. 21p. 3 Diagrams, 7 Charts, 4 Graphs.

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Feature Construction and Calibration for Clustering Daily Load Curves from Smart-Meter Data

• Authors : Al-Otaibi, Reem; Jin, Nanlin; Wilcox, Tom

Subjects: /dk/atira/pure/core/keywords/jean_golding; name=Jean Golding; Clustering

• Source: Al-Otaibi , R , Jin , N , Wilcox , T & Flach , P 2016 , ' Feature Construction and Calibration for

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Unsupervised Feature Construction for Improving Data Representation and Semantics

• Authors : Rizoiu, Marian-Andrei; Velcin, Julien; Lallich, Stéphane ...

Subjects: Unsupervised feature construction; Feature evaluation; Nonparametric statistics

• Source: ISSN: 0925-9902.

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Ontology engineering and feature construction for predicting friendship links and users’ interests in the Live Journal social network

• Authors : Vikas Bahirwani; Waleed Aljandal; The Pennsylvania State University CiteSeerX Archives

Subjects: Interest Ontology; Clustering; Machine Learning

• Source: http://cis.ksu.edu/~dcaragea/papers/bahirwani-sna-kdd.pdf.

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A novel feature set for low-voltage consumers, based on the temporal dependence of consumption and peak demands

• Authors : Claeys, Robbert; Azaioud, Hakim; Cleenwerck, Rémy

Subjects: Technology and Engineering; load profiling; consumer categorization

• Source: ENERGIES ; ISSN: 1996-1073

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Interest-based recommendations for business intelligence users

• Authors : Drushku, Krista; Aligon, Julien; Labroche, Nicolas ...

Subjects: User interest; Feature construction; Clustering

• Source: ISSN: 0306-4379 ; Information Systems ; https://hal.science/hal-02976606 ; Information Systems, 2019, 86, pp.79-93. ⟨10.1016/j.is.2018.08.004⟩ ;

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User Interests Clustering in Business Intelligence Interactions

• Authors : Drushku, Krista; Aligon, Julien; Labroche, Nicolas ...

Subjects: Clustering; User interest; BI analysesEssen; Germany

• Source: Lecture Notes in Computer Science ; International Conference on Advanced Information Systems Engineering (CAiSE 2017) ; https://hal.science/hal-01629076 ; International Conference on Advanced

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A novel feature set for low-voltage consumers, based on the temporal dependence of consumption and peak demands

• Authors : Hakim Azaioud; Jos Knockaert; Jan Desmet ...

Subjects: Control and Optimization; Technology and Engineering; Computer science

• Source: ENERGIESEnergies, Vol 14, Iss 139, p 139 (2021)Energies; Volume 14; Issue 1; Pages: 139

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Interest-based recommendations for business intelligence users

• Authors : Verónika Peralta; Julien Aligon; Nicolas Labroche ...

Subjects: Information retrieval; Computer science; business.industry

• Source: Information SystemsInformation Systems, Elsevier, 2019, 86, pp.79-93. ⟨10.1016/j.is.2018.08.004⟩

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User Interests Clustering in Business Intelligence Interactions

• Authors : Krista Drushku; Patrick Marcel; Julien Aligon ...

Subjects: Information retrieval; Computer science; business.industry

• Source: Lecture Notes in Computer ScienceInternational Conference on Advanced Information Systems Engineering (CAiSE 2017)International Conference on Advanced Information Systems Engineering

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