Results 41 to 50 of about 2,599,171 (311)

Mid-level Deep Pattern Mining∗

, 2015
Mid-level visual element discovery aims to find clusters of image patches that are both representative and discrimi-native. In this work, we study this problem from the prospec-tive of pattern mining while relying on the recently popular-ized ...
Anton Van Den Hengel, Lingqiao Liu, Van Den Hengel, A., Liu, L., Shen, C., Chunhua Shen, Li, Y., Yao Li   +7 more
core   +1 more source

Extending Association Rule Mining to Microbiome Pattern Analysis: Tools and Guidelines to Support Real Applications

Frontiers in Bioinformatics, 2022
Boosted by the exponential growth of microbiome-based studies, analyzing microbiome patterns is now a hot-topic, finding different fields of application. In particular, the use of machine learning techniques is increasing in microbiome studies, providing
Agostinetto Giulia, Sandionigi Anna, Bruno Antonia, Pescini Dario, Casiraghi Maurizio   +4 more
doaj   +1 more source

Efficient Algorithms for Mining Erasable Closed Patterns From Product Datasets

IEEE Access, 2017
Finding knowledge from large data sets to use in intelligent systems becomes more and more important in the Internet era. Pattern mining, classification, text mining, and opinion mining are the topical issues.
Bay Vo, Tuong Le, Giang Nguyen, Tzung-Pei Hong   +3 more
doaj   +1 more source

Ontology of core data mining entities [PDF]

, 2014
In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application ...
Dzeroski, S, Soldatova, L, Panov, P
core   +1 more source

Efficient Mining of Interesting Patterns in Large Biological Sequences [PDF]

Genomics & Informatics, 2012
Pattern discovery in biological sequences (e.g., DNA sequences) is one of the most challenging tasks in computational biology and bioinformatics. So far, in most approaches, the number of occurrences is a major measure of determining whether a pattern is
Md. Mamunur Rashid, Md. Rezaul Karim, Byeong-Soo Jeong, Ho-Jin Choi   +3 more
doaj   +1 more source

k-PFPMiner: Top-k Periodic Frequent Patterns in Big Temporal Databases

IEEE Access, 2023
Finding periodic-frequent patterns in temporal databases is a prominent data mining problem with bountiful applications. It involves discovering all patterns in a database that satisfy the user-specified minimum support ( $min{\_{}}sup$ ) and maximum ...
Palla Likhitha, Penugonda Ravikumar, Deepika Saxena, Rage Uday Kiran, Yutaka Watanobe   +4 more
doaj   +1 more source

Diffusion pattern mining

Knowledge and Information Systems
Abstract In a diffusion network, some nodes exhibit similar diffusion patterns as they have analogous influence reachabilities to the other nodes. When these nodes are selected as initially infected nodes, they tend to yield similar infection results.
Qian Yan 0001, Yulan Yang, Kai Yin, Ting Gan, Hao Huang 0001   +4 more
openaire   +2 more sources

High average-utility sequential pattern mining based on uncertain databases

, 2020
emergence and proliferation of the internet of things (IoT) devices have resulted in the generation of big and uncertain data due to the varied accuracy and decay of sensors and their different sensitivity ranges.
Zhang, Ji, Li, Ting, Pirouz, Matin, Lin, Jerry Chun-Wei, Fournier-Viger, Philippe   +4 more
core   +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

A Survey of Key Technologies for High Utility Patterns Mining

IEEE Access, 2020
Recently, high utility pattern mining (HUPM) is one of the most important research issues in data mining. Because it can consider the non-binary frequency values of items in a transaction and the different profit values of each item.
Chunyan Zhang, Meng Han, Rui Sun, Shiyu Du, Mingyao Shen   +4 more
doaj   +1 more source