FHNM: High utility itemsets mining algorithm from transaction database with negative utility value

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FHNM: High utility itemsets mining algorithm from transaction database with negative utility value

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Sprog:	vie
Online adgang:	https://dlib.udn.vn/module/chi-tiet-sach?RecordID=8582
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Thư viện lưu trữ:	Trung tâm Công nghệ thông tin và Học liệu số, Đại học Đà Nẵng

Lignende værker

Efficient algorithms for mining closed and maximal high utility itemsets
af: Dương, Văn Hải, et al.
Udgivet: (2023)

Efficient Algorithms for Mining Closed and Maximal High Utility Itemsets
af: Dương, Văn Hải, et al.
Udgivet: (2024)

Efficient algorithms for mining closed and maximal high utility itemsets
af: Hoàng, Minh Tiến, et al.
Udgivet: (2024)

Efficient Algorithms for Mining Closed and Maximal High Utility Itemsets
af: Dương, Văn Hải, et al.
Udgivet: (2023)

Efficient algorithms for mining closed and maximal high utility itemsets
af: Dương, Văn Hải, et al.
Udgivet: (2025)

Mining association rules from high utility itemsets
af: Nguyễn, Thị Thúy Loan, et al.
Udgivet: (2024)

MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets
af: Dương, Văn Hải, et al.
Udgivet: (2024)

MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets
af: Dương, Văn Hải, et al.
Udgivet: (2024)

Approximate high utility itemset mining in noisy environments
af: Yoonji Baek, et al.
Udgivet: (2021)

Efficient mining of concise and informative representations of frequent high utility itemsets
af: Trần, Thống, et al.
Udgivet: (2024)

Efficient mining of concise and informative representations of frequent high utility itemsets
af: Trần, Thống, et al.
Udgivet: (2024)

HUPSMT: An efficient algorithm for mining high utility-probability sequences in uncertain databases with multiple minimum utility thresholds
af: Trương, Chí Tín, et al.
Udgivet: (2023)

CG-FHAUI: An efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets
af: Dương, Văn Hải, et al.
Udgivet: (2024)

Efficient vertical mining of high average-utility itemsets based on novel upper-bounds
af: Trương, Chí Tín, et al.
Udgivet: (2023)

High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound
af: Trần, Thống, et al.
Udgivet: (2024)

High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound
af: Trần, Thống, et al.
Udgivet: (2024)

Mining concise representations of frequent high utility occupancy itemsets using generator patterns
af: Dương, Văn Hải, et al.
Udgivet: (2025)

MINING CONCISE REPRESENTATIONS OF FREQUENT HIGH-UTILITY OCCUPANCY ITEMSETS USING GENERATOR PATTERNS
af: Duong, Van Hai, et al.
Udgivet: (2026)

Efficient high average-utility itemset mining using novel vertical weak upper-bounds
af: Trương, Chí Tín, et al.
Udgivet: (2023)

Efficient algorithms for mining frequent high utility sequences with constraints
af: Trương, Chí Tín, et al.
Udgivet: (2023)

EHAUSM: An efficient algorithm for high average utility sequence mining
af: Trương, Chí Tín, et al.
Udgivet: (2024)

An Efficient Algorithm for Mining Frequent High Utility Occupancy Generators
af: Dương, Văn Hải, et al.
Udgivet: (2025)

Efficient Mining of Concise Patterns for Frequent High-Utility Occupancy Itemsets Using Extended Pruning Strategies
af: Hoàng, Minh Tiến, et al.
Udgivet: (2025)

Mining High Utility Sequences with a Novel Utility Function
af: Huỳnh, Hanh Thông, et al.
Udgivet: (2023)

H-FHAUI: Hiding Frequent High Average Utility Itemsets
af: Lê, Hoài Bắc, et al.
Udgivet: (2023)

EHUSM: Mining High Utility Sequences with a Pessimistic Utility Model
af: Philippe Fournier-Viger, et al.
Udgivet: (2023)

Efficient Algorithms to Mine Concise Representations of Frequent High Utility Occupancy Patterns
af: Dương, Văn Hải, et al.
Udgivet: (2024)

U-HPAUSM: Mining high probability average utility sequences in uncertain quantitative sequential databases
af: Dương, Văn Hải, et al.
Udgivet: (2024)

U-HPAUSM: Mining high probability average utility sequences in uncertain quantitative sequential databases
af: Dương, Văn Hải, et al.
Udgivet: (2024)

FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences
af: Trương, Chí Tín, et al.
Udgivet: (2023)

Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies
af: Trương, Chí Tín, et al.
Udgivet: (2023)

Efficient algorithms for mining frequent itemsets with constraint
af: Trần, Ngọc Anh, et al.
Udgivet: (2023)

Mining interesting sequences with low average cost and high average utility
af: Trương, Chí Tín, et al.
Udgivet: (2023)

An efficient algorithm for mining frequent itemsets with single constraint
af: Dương, Văn Hải, et al.
Udgivet: (2023)

An efficient algorithm for mining frequent itemsets containing a constraint subset /
af: Van Hai Duong.

An efficient algorithm for mining frequent itemsets containing a constraint subset
af: Duong, Van Hai, et al.
Udgivet: (2014)

NUCLEAR: An Efficient Method for Mining Frequent Itemsets and Generators from Closed Frequent Itemsets
af: Phạm, Quang Huy, et al.
Udgivet: (2023)

Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure
af: Dương, Văn Hải, et al.
Udgivet: (2024)

An identification method for altered proteins in tissues utilizing fluorescence derivatization, liquid chromatography, tandem mass spectrometry, a database-searching algorithm /
af: Toriumi, Chifuyu.

Mining frequent itemsets with dualistic constraints
af: Trần, Ngọc Anh, et al.
Udgivet: (2023)

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