Efficient mining of high average-utility itemsets

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F17%3A10236456" target="_blank" >RIV/61989100:27240/17:10236456 - isvavai.cz</a>

Alternative codes found

RIV/61989100:27740/17:10236456

Result on the web

<a href="https://www.taylorfrancis.com/books/e/9781498779456/chapters/10.1201%2F9781315375083-37" target="_blank" >https://www.taylorfrancis.com/books/e/9781498779456/chapters/10.1201%2F9781315375083-37</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Efficient mining of high average-utility itemsets

Original language description

In traditional High-Utility Itemset Mining (HUIM), the utility of an itemset is defined as the sum of the utilities of its items in transactions where it appears. An important problem with this definition is that it does not take itemset length into account. To provide a better assessment of each itemset’s utility, the task of High Average-Utility Itemset Mining (HAUIM) was proposed and several algorithms have been extensively studied. Most of the past works are based on level-wise or patterngrowth approaches, which required amounts of computation to mine the required High Average-Utility Itemsets (HAUIs). In this paper, we present an efficient Average-Utility (AU)-list structure to discover the HAUIs more efficiently. A depth-first search algorithm named HAUI-Miner is proposed to explore the search space without candidate generation, and an efficient pruning strategy is developed to reduce the search space and speed up the mining process. Extensive experiments are conducted to compare the performance of HAUI-Miner with the state-of-the-art algorithms of HAUIM in terms of runtime and number of determining nodes.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Communication, Management and Information Technology - Proceedings of the International Conference on Communication, Management and Information Technology, ICCMIT 2016

ISBN

978-1-315-37508-3

ISSN

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e-ISSN

neuvedeno

Number of pages

8

Pages from-to

241-248

Publisher name

CRC Press

Place of publication

Leiden

Event location

Cosenza

Event date

Apr 26, 2016

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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