Results 31 to 40 of about 1,422,501 (294)

Efficient Algorithm for High Utility Pattern Mining Based on Top-k [PDF]

Jisuanji gongcheng, 2019
Getting the high utility pattern through user-specified threshold is inefficient,and the result of mining may not satisfy user’s needs.Therefore,an efficient Top-k pattern mining algorithm based on EFIM algorithm is proposed.The number of high utility ...
ZHAO Linliu,LV Xin,TAO Feifei
doaj   +1 more source

Efficient Method for Mining High Utility Occupancy Patterns Based on Indexed List Structure

IEEE Access, 2023
High utility pattern mining has been proposed to improve the traditional support-based pattern mining methods that process binary databases. High utility patterns are discovered by effectively considering the quantity and importance of items.
Hyeonmo Kim, Taewoong Ryu, Chanhee Lee, Sinyoung Kim, Bay Vo, Jerry Chun-Wei Lin, Unil Yun   +6 more
doaj   +1 more source

Mining Top-k High Average-Utility Sequential Patterns for Resource Transformation

Applied Sciences, 2023
High-utility sequential pattern mining (HUSPM) helps researchers find all subsequences that have high utility in a quantitative sequential database. The HUSPM approach appears to be well suited for resource transformation in DIKWP graphs.
Kai Cao, Yucong Duan
doaj   +1 more source

On efficiently mining high utility sequential patterns

, 2016
High utility sequential pattern mining is an emerging topic in pattern mining, which refers to identify sequences with high utilities (e.g., profits) but probably with low frequencies. To identify high utility sequential patterns, due to lack of downward
Wang, Jun-Zhe;Huang, Jiun-Long;Chen, Yi-Cheng
core   +1 more source

Ignoring Internal Utilities in High-Utility Itemset Mining

Symmetry, 2022
High-utility itemset mining discovers a set of items that are sold together and have utility values higher than a given minimum utility threshold. The utilities of these itemsets are calculated by considering their internal and external utility values, which correspond, respectively, to the quantity sold of each item in each transaction and profit ...
openaire   +2 more sources

Knowledge Hiding in Transactional Databases: A Focused Survey of Methods and Open Challenges

Applied Sciences
Privacy-preserving data mining (PPDM) seeks to extract useful patterns from shared data without revealing sensitive information. Within PPDM, knowledge hiding—encompassing both association rule hiding (ARH) and frequent itemset hiding (FIH)—forms a ...
Sotiris Kotsiantis, Vassilios S. Verykios   +1 more
doaj   +1 more source

A New Algorithm of Mining High Utility Sequential Pattern in Streaming Data

International Journal of Computational Intelligence Systems, 2019
High utility sequential pattern (HUSP) mining has emerged as a novel topic in data mining, its computational complexity increases compared to frequent sequences mining and high utility itemsets mining.
Huijun Tang, Yangguang Liu, Le Wang
doaj   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

USP29‐regulated noncanonical stabilization of the hypoxia‐inducible factor‐α in aggressive prostate cancer

Molecular Oncology, EarlyView.
We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober, Leire Moreno‐Cugnon, Laura Martínez‐Pérez, Amaia Ercilla, Amaia Zabala‐Letona, Adrián Vicente‐Barrueco, Maider Fagoaga‐Eugui, Saioa Garcia‐Longarte, Blanca Calle‐Ciborro, Encarnación Pérez‐Andrés, Onintza Carlevaris, Sara Pozo, Isabel Mendizabal, Ugo Mayor, Arkaitz Carracedo, Violaine Sée, Edurne Berra   +16 more
wiley   +1 more source

An Algorithm for Mining High Utility Sequential Patterns with Time Interval

Cybernetics and Information Technologies, 2019
Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy, Janos Demetrovics, Thi Vu Duc, Thang Nguyen Truong, Anh Tran The   +4 more
doaj   +1 more source