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University of Illinois at Urbana-Champaign

Optimization Problems in Data Mining

Abstract

dc:description

"We introduce a novel type of rule, wherein claims of the form ""our object ranked r or better in x of the last t time units,"" are formalized, and where maximal claims of this form are defined under two natural partial orders. For the first, we give an efficient and optimal algorithm for finding all such claims. For the second, we give an algorithm whose running time is significantly more efficient than that of a naive one. Finally, we connect this boasting problem to that of finding a sequence of optimized confidence association rules, and give an efficient algorithm for solving a simplification of the problem."

Degree

thesis:*
Name thesis:degree_name
Ph.D.
Level thesis:degree_level
Dissertation
Discipline thesis:degree_discipline
Computer Science
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2015

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Heeren, Cinda
Contributors dc:contributor
  • Leonard B. Pitt

Subjects

dc:subject × 1

Rights

Language dc:language
eng

Identifiers

dc:identifier.*
Identifier
(MiAaPQ)AAI3130932
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/81639

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Heeren, Cinda. Optimization Problems in Data Mining. Dissertation thesis, University of Illinois at Urbana-Champaign, 2015. http://hdl.handle.net/2142/81639