Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure

QR Kod

Mining Interesting Sequential Patterns using a Novel Balanced Utility Measure

294

Kaydedildi:

Detaylı Bibliyografya
Asıl Yazarlar:	Dương, Văn Hải, Trương, Chí Tín, Lê, Hoài Bắc, Philippe, Fournier-Viger
Materyal Türü:	Journal article
Dil:	English
Baskı/Yayın Bilgisi:	Elsevier 2024
Online Erişim:	https://scholar.dlu.edu.vn/handle/123456789/3442
Etiketler:	Etiketle Etiket eklenmemiş, İlk siz ekleyin!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Benzer Materyaller

Mining interesting sequences with low average cost and high average utility
Yazar:: Trương, Chí Tín, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Mining High Utility Sequences with a Novel Utility Function
Yazar:: Huỳnh, Hanh Thông, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Efficient high average-utility itemset mining using novel vertical weak upper-bounds
Yazar:: Trương, Chí Tín, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Efficient vertical mining of high average-utility itemsets based on novel upper-bounds
Yazar:: Trương, Chí Tín, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

An Explicit Relationship between Sequential Patterns and their Concise Representations
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Efficient Algorithms to Mine Concise Representations of Frequent High Utility Occupancy Patterns
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

CG-FHAUI: An efficient algorithm for simultaneously mining succinct pattern sets of frequent high average utility itemsets
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Data mining for association rules and sequential patterns :
Yazar:: Adamo, Jean-Marc
Baskı/Yayın Bilgisi: (2001)

Efficient algorithms for simultaneously mining concise representations of sequential patterns based on extended pruning conditions
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

EHUSM: Mining High Utility Sequences with a Pessimistic Utility Model
Yazar:: Philippe Fournier-Viger, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

EHAUSM: An efficient algorithm for high average utility sequence mining
Yazar:: Trương, Chí Tín, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Frequent high minimum average utility sequence mining with constraints in dynamic databases using efficient pruning strategies
Yazar:: Trương, Chí Tín, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Research on the sequential pattern mining algorithms using prefix-tree structure : Doctoral thesis - Major: Computer Science
Yazar:: Phạm Thị Thiết
Baskı/Yayın Bilgisi: (2013)

Balancing the national interest
Baskı/Yayın Bilgisi: (1987)

Efficient algorithms for mining frequent high utility sequences with constraints
Yazar:: Trương, Chí Tín, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

FMaxCloHUSM: An efficient algorithm for mining frequent closed and maximal high utility sequences
Yazar:: Trương, Chí Tín, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Efficient Algorithms for Mining Closed and Maximal High Utility Itemsets
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Pattern mining: Current challenges and opportunities
Yazar:: Philippe Fournier-Viger, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound
Yazar:: Trần, Thống, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

High Average-Utility Itemset Mining with A Novel Vertical Weak Upper Bound
Yazar:: Trần, Thống, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Efficient algorithms for mining closed and maximal high utility itemsets
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Fast generation of sequential patterns with item constraints from concise representations
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

Measuring situational interest in academic domains /

Efficient mining of concise and informative representations of frequent high utility itemsets
Yazar:: Trần, Thống, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Efficient mining of concise and informative representations of frequent high utility itemsets
Yazar:: Trần, Thống, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

FCloSM, FGenSM: two efficient algorithms for mining frequent closed and generator sequences using the local pruning strategy
Yazar:: Lê, Hoài Bắc, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

A fine balance : a novel
Yazar:: Rohinton Mistry
Baskı/Yayın Bilgisi: (2015)

Approximate high utility itemset mining in noisy environments
Yazar:: Yoonji Baek, ve diğerleri
Baskı/Yayın Bilgisi: (2021)

H-FHAUI: Hiding Frequent High Average Utility Itemsets
Yazar:: Lê, Hoài Bắc, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Data mining patterns :
Baskı/Yayın Bilgisi: (2008)

Complex Pattern Mining
Yazar:: Appice, Annalisa, ve diğerleri
Baskı/Yayın Bilgisi: (2020)

Biomass carbon measurements and substrate utilization patterns of microbial populations from soils amended with cadmium, copper, or zinc /
Yazar:: Knight, B. P.

Science and Technology in International Economic Law: Balancing Competing Interests, 1st edition
Yazar:: Bryan, Mercurio, editor, ve diğerleri
Baskı/Yayın Bilgisi: (2020)

Balancing the triple bottom line in water supply planning for utilities /
Yazar:: Liner, Barry, Ph.D., P.E.

HUPSMT: An efficient algorithm for mining high utility-probability sequences in uncertain databases with multiple minimum utility thresholds
Yazar:: Trương, Chí Tín, ve diğerleri
Baskı/Yayın Bilgisi: (2023)

Supervised Descriptive Pattern Mining
Yazar:: Ventura, Sebastián, ve diğerleri
Baskı/Yayın Bilgisi: (2020)

MFG-HUI: An Efficient Algorithm for Mining Frequent Generators of High Utility Itemsets
Yazar:: Dương, Văn Hải, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Mining association rules from high utility itemsets
Yazar:: Nguyễn, Thị Thúy Loan, ve diğerleri
Baskı/Yayın Bilgisi: (2024)

Phosphorus compounds in sequential extracts of animal manures : Chemical speciation and a novel fractionation procedure /
Yazar:: Turner, Benjamin L.