Results 81 to 90 of about 10,877 (201)

Data‐Driven Materials Research and Development for Functional Coatings

open access: yesAdvanced Science, Volume 11, Issue 42, November 13, 2024.
Functional coatings play a vital role in various industries for their protective and functional properties. However, its design often involves time‐consuming experimentation with multiple materials and processing parameters. To overcome these limitations, data‐driven approaches are gaining traction in materials science. This review provides an overview
Kai Xu   +8 more
wiley   +1 more source

TT-Miner: Topology-Transaction Miner for Mining Closed Itemset

open access: yesIEEE Access, 2019
Mining frequent closed itemsets (FCIs) from transaction databases is a fundamental problem in many data mining applications. All the enumeration algorithms enumerate FCIs by adding a singleton item to an itemset and then checking whether it is closure ...
Bo Li   +3 more
doaj   +1 more source

Electric vehicle load forecasting based on convolutional networks with attention mechanism and federated learning method

open access: yesIET Generation, Transmission &Distribution, Volume 18, Issue 13, Page 2313-2324, July 2024.
This paper proposes an electric vehicle (EV) load diagnosis algorithm considering data privacy. The validity of the algorithm in this paper is verified by using the real collected EV load data. Abstract Accurate forecasting of electric vehicle (EV) load is essential for grid stability and energy management. EV load forecasting is influenced by multiple
Ruien Bian   +3 more
wiley   +1 more source

An Efficient Method for Mining Closed Potential High-Utility Itemsets

open access: yesIEEE Access, 2020
High-utility itemset mining (HUIM) has become a key phase of the pattern mining process, which has wide applications, related to both quantities and profits of items. Many algorithms have been proposed to mine high-utility itemsets (HUIs).
Bay Vo   +5 more
doaj   +1 more source

Reconstructing thicket clump formation using association rules analysis

open access: yesJournal of Vegetation Science, Volume 35, Issue 3, May/June 2024.
Association rules (or market basket) analysis was effective in eliciting common associations between species and size classes across different stages of thicket clump formation in a savanna. Vachellia karroo established alone in open grassland, whereas a suite of clump‐initiating species recruited in close association with large V.
Rhys Nell   +2 more
wiley   +1 more source

An Evolutionary Algorithm to Mine High-Utility Itemsets

open access: yesAdvances in Electrical and Electronic Engineering, 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
Jerry Chun-Wei Lin   +5 more
doaj   +1 more source

Interactive Constrained Association Rule Mining

open access: yes, 2003
We investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (queries) on the associations to be generated.
Bussche, Jan Van den, Goethals, Bart
core   +3 more sources

Exploring the impacts of traffic flow states on freeway normal crashes, primary crashes, and secondary crashes

open access: yesIET Intelligent Transport Systems, Volume 18, Issue 3, Page 517-527, March 2024.
Abstract This study aims to explore the relationship between traffic flow states and crash type/severity in the scenarios of normal crashes, primary crashes, and secondary crashes using the association rules mining approach. The crash data and real‐time traffic data were collected from the I‐880 freeway for five years in California, USA.
Bo Yang   +4 more
wiley   +1 more source

Proof Learning in PVS With Utility Pattern Mining

open access: yesIEEE Access, 2020
Interactive theorem provers (ITPs) are software tools that allow human users to write and verify formal proofs. In recent years, an emerging research area in ITPs is proof mining, which consists of identifying interesting proof patterns that can be used ...
M. Saqib Nawaz   +2 more
doaj   +1 more source

Integrating Constraint Programming and Itemset Mining [PDF]

open access: yes, 2010
Over the years many pattern mining tasks and algorithms have been proposed. Traditionally, the focus of these studies was on the efficiency of the computation and the scalability towards very large databases. Little research has however been done on a general framework that encompasses several of these problems. In earlier work we showed how constraint
Nijssen, Siegfried, Guns, Tias
openaire   +3 more sources

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