Results 41 to 50 of about 338,799 (197)

Utility-driven Data Analytics on Uncertain Data

, 2019
Modern Internet of Things (IoT) applications generate massive amounts of data, much of it in the form of objects/items of readings, events, and log entries.
Chao, Han-Chieh, Gan, Wensheng, Lin, Jerry Chun-Wei, Vasilakos, Athanasios V., Yu, Philip S.   +4 more
core   +1 more source

An Evolutionary Algorithm to Mine High-Utility Itemsets [PDF]

, 2015
High-utility itemset mining (HUIM) is a critical issue in recent years since it can be used to reveal the profitable products by considering both the quantity and profit factors instead of frequent itemset mining (FIM) of association rules (ARs). In this
Jaroslav Frnda, Jerry Chun-Wei Lin, Lu Yang, Lukas Sevcik, Miroslav Voznak, Philippe Fournier-Viger   +5 more
core   +2 more sources

MINING OF HIGH-UTILITY ITEMSETS WITH NEGATIVE UTILITY

JOURNAL OF TECHNOLOGY & INNOVATION, 2020
The goal of the high-utility itemset mining task is to discover combinations of items that yield high profits from transactional databases. HUIM is a useful tool for retail stores to analyze customer behaviors. However, in the real world, items are found with both positive and negative utility values.
Tung N.T, Nguyen Le Van, Trinh Cong Nhut, Tran Van Sang   +3 more
openaire   +1 more source

EAHUIM: Enhanced Absolute High Utility Itemset Miner for Big Data

International Journal of Information Management Data Insights, 2022
High utility itemset mining (HUIM) is a data mining technique that identifies the itemsets with utility levels exceeding a pre-determined threshold. The factor utility is described as the combination of magnitude and element of significance for an item ...
Vandna Dahiya, Sandeep Dalal
doaj   +1 more source

Mining Frequent Graph Patterns with Differential Privacy [PDF]

, 2013
Discovering frequent graph patterns in a graph database offers valuable information in a variety of applications. However, if the graph dataset contains sensitive data of individuals such as mobile phone-call graphs and web-click graphs, releasing ...
Geweke J., Gilks W., Karwa V., Rubinstein R., Williams O., Yan X.   +5 more
core   +1 more source

Mining Association rules for Low-Frequency itemsets. [PDF]

PLoS ONE, 2018
High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu, Justin Zhan, Sanket Chobe   +2 more
doaj   +1 more source

A New Algorithm for High Average-utility Itemset Mining [PDF]

Journal of Artificial Intelligence and Data Mining, 2019
High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold.
A. Soltani, M. Soltani
doaj   +1 more source

The European Commission's public consultation on the review of EU copyright rules: a response by the CREATe Centre [PDF]

, 2014
No abstract ...
Deazley, Ronan, Edwards, Lilian, Erickson, Kristofer, Kretschmer, Martin, Schafer, Burkhard, Zizzo, Daniel John   +5 more
core   +1 more source

Efficient Utility Tree-Based Algorithm to Mine High Utility Patterns Having Strong Correlation

Complexity, 2021
High Utility Itemset Mining (HUIM) is one of the most investigated tasks of data mining. It has broad applications in domains such as product recommendation, market basket analysis, e-learning, text mining, bioinformatics, and web click stream analysis ...
Rashad Saeed, Azhar Rauf, Fahmi H. Quradaa, Syed Muhammad Asim   +3 more
doaj   +1 more source

Mining high utility sequential patterns [PDF]

, 2015
University of Technology Sydney. Faculty of Engineering and Information Technology.Sequential pattern mining refers to the identification of frequent subsequences in sequence databases as patterns.
Yin, J
core