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Relational differential prediction

Publication ,  Conference
Nassif, H; Santos Costa, V; Burnside, ES; Page, D
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
October 4, 2012

A typical classification problem involves building a model to correctly segregate instances of two or more classes. Such a model exhibits differential prediction with respect to given data subsets when its performance is significantly different over these subsets. Driven by a mammography application, we aim at learning rules that predict breast cancer stage while maximizing differential prediction over age-stratified data. In this work, we present the first multi-relational differential prediction (aka uplift modeling) system, and propose three different approaches to learn differential predictive rules within the Inductive Logic Programming framework. We first test and validate our methods on synthetic data, then apply them on a mammography dataset for breast cancer stage differential prediction rule discovery. We mine a novel rule linking calcification to in situ breast cancer in older women. © 2012 Springer-Verlag.

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Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783642334597

Publication Date

October 4, 2012

Volume

7523 LNAI

Issue

PART 1

Start / End Page

617 / 632

Related Subject Headings

  • Artificial Intelligence & Image Processing
 

Citation

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Nassif, H., Santos Costa, V., Burnside, E. S., & Page, D. (2012). Relational differential prediction. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7523 LNAI, pp. 617–632). https://doi.org/10.1007/978-3-642-33460-3_45
Nassif, H., V. Santos Costa, E. S. Burnside, and D. Page. “Relational differential prediction.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7523 LNAI:617–32, 2012. https://doi.org/10.1007/978-3-642-33460-3_45.
Nassif H, Santos Costa V, Burnside ES, Page D. Relational differential prediction. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012. p. 617–32.
Nassif, H., et al. “Relational differential prediction.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7523 LNAI, no. PART 1, 2012, pp. 617–32. Scopus, doi:10.1007/978-3-642-33460-3_45.
Nassif H, Santos Costa V, Burnside ES, Page D. Relational differential prediction. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2012. p. 617–632.
Journal cover image

Published In

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

DOI

EISSN

1611-3349

ISSN

0302-9743

ISBN

9783642334597

Publication Date

October 4, 2012

Volume

7523 LNAI

Issue

PART 1

Start / End Page

617 / 632

Related Subject Headings

  • Artificial Intelligence & Image Processing