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Mining inter-sequence patterns with Itemset constraints

Applied intelligence (Dordrecht, Netherlands), 2023-09, Vol.53 (17), p.19827-19842

2023

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Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules

Sensors (Basel, Switzerland), 2020-02, Vol.20 (4), p.1078

2020

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A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases

IEEE access, 2020, Vol.8, p.85890-85899

2020

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A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation

Information sciences, 2023-01, Vol.620, p.105-124

2023

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Preparation, Characterization and Photocatalytic Activity of La-Doped Zinc Oxide Nanoparticles

Materials, 2019-04, Vol.12 (8), p.1195

2019

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An efficient pruning method for mining inter-sequence patterns based on pseudo-IDList

Expert systems with applications, 2024-03, Vol.238, p.121738, Article 121738

2024

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An efficient method for mining high utility closed itemsets

Information sciences, 2019-08, Vol.495, p.78-99

2019

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Mining high-utility itemsets in dynamic profit databases

Knowledge-based systems, 2019-07, Vol.175, p.130-144

2019

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A lattice-based approach for mining high utility association rules

Information sciences, 2017-08, Vol.399, p.81-97

2017

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Toward enhanced visible-light photocatalytic dye degradation and reusability of La3+ substituted ZnFe2O4 nanostructures

Environmental research, 2022-11, Vol.214, p.114130-114130, Article 114130

2022

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Synthesis, characterization, and application of ZnFe2O4@ZnO nanoparticles for photocatalytic degradation of Rhodamine B under visible-light illumination

Environmental technology & innovation, 2022-02, Vol.25, Article 102130

2022

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Deep learning, graph-based text representation and classification: a survey, perspectives and challenges

The Artificial intelligence review, 2023-06, Vol.56 (6), p.4893-4927

2023

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MLC-miner: Efficiently discovering multi-level closed high utility patterns from quantitative hierarchical transaction databases

Expert systems with applications, 2024-11, Vol.254, p.124383, Article 124383

2024

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An efficient method for mining High-Utility itemsets from unstable negative profit databases

Expert systems with applications, 2024-03, Vol.237, p.121489, Article 121489

2024

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Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks

Information systems (Oxford), 2022-01, Vol.103, p.101771, Article 101771

2022

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Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases

Information sciences, 2022-03, Vol.587, p.41-62

2022

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Incremental clickstream pattern mining with search boundaries

Information sciences, 2024-03, Vol.662, p.120257, Article 120257

2024

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Efficient methods for mining weighted clickstream patterns

Expert systems with applications, 2020-03, Vol.142, p.112993, Article 112993

2020

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Efficient algorithms for mining closed high utility itemsets in dynamic profit databases

Expert systems with applications, 2021-12, Vol.186, p.115741, Article 115741

2021

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An efficient parallel algorithm for mining weighted clickstream patterns

Information sciences, 2022-01, Vol.582, p.349-368

2022

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An efficient topological-based clustering method on spatial data in network space

Expert systems with applications, 2023-04, Vol.215, p.119395, Article 119395

2023

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An efficient method for mining high occupancy itemsets based on equivalence class and early pruning

Knowledge-based systems, 2023-05, Vol.267, p.110441, Article 110441

2023

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An efficient strategy for mining high-efficiency itemsets in quantitative databases

Knowledge-based systems, 2024-09, Vol.299, p.112035, Article 112035

2024

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Parallel approaches to extract multi-level high utility itemsets from hierarchical transaction databases

Knowledge-based systems, 2023-09, Vol.276, p.110733, Article 110733

2023

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Con2Vec: Learning embedding representations for contrast sets

Knowledge-based systems, 2021-10, Vol.229, p.107382, Article 107382

2021

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Mining inter-sequence patterns with Itemset constraints

Efficient Algorithm for Mining Non-Redundant High-Utility Association Rules

A Multi-Core Approach to Efficiently Mining High-Utility Itemsets in Dynamic Profit Databases

A hierarchical fused fuzzy deep neural network with heterogeneous network embedding for recommendation

Preparation, Characterization and Photocatalytic Activity of La-Doped Zinc Oxide Nanoparticles

An efficient pruning method for mining inter-sequence patterns based on pseudo-IDList

An efficient method for mining high utility closed itemsets

Mining high-utility itemsets in dynamic profit databases

A lattice-based approach for mining high utility association rules

Toward enhanced visible-light photocatalytic dye degradation and reusability of La3+ substituted ZnFe2O4 nanostructures

Synthesis, characterization, and application of ZnFe2O4@ZnO nanoparticles for photocatalytic degradation of Rhodamine B under visible-light illumination

Deep learning, graph-based text representation and classification: a survey, perspectives and challenges

MLC-miner: Efficiently discovering multi-level closed high utility patterns from quantitative hierarchical transaction databases

An efficient method for mining High-Utility itemsets from unstable negative profit databases

Bot2Vec: A general approach of intra-community oriented representation learning for bot detection in different types of social networks

Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases

Incremental clickstream pattern mining with search boundaries

Efficient methods for mining weighted clickstream patterns

Efficient algorithms for mining closed high utility itemsets in dynamic profit databases

An efficient parallel algorithm for mining weighted clickstream patterns

An efficient topological-based clustering method on spatial data in network space

An efficient method for mining high occupancy itemsets based on equivalence class and early pruning

An efficient strategy for mining high-efficiency itemsets in quantitative databases

Parallel approaches to extract multi-level high utility itemsets from hierarchical transaction databases

Con2Vec: Learning embedding representations for contrast sets

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