Results 41 to 50 of about 1,422,501 (294)

EAHUIM: Enhanced Absolute High Utility Itemset Miner for Big Data

open access: yesInternational Journal of Information Management Data Insights, 2022
High utility itemset mining (HUIM) is a data mining technique that identifies the itemsets with utility levels exceeding a pre-determined threshold. The factor utility is described as the combination of magnitude and element of significance for an item ...
Vandna Dahiya, Sandeep Dalal
doaj   +1 more source

MagmaFlow: A desktop platform for artificial intelligence‐driven expression analysis

open access: yesFEBS Open Bio, EarlyView.
MagmaFlow is a free, no‐code platform for gene expression analysis. It generates interactive volcano plots, links genes to literature, pathways, and diseases, prioritizes candidates using millions of publications, identifies affected biological processes, builds network diagrams, and exports publication‐ready figures and reports for macOS and Windows ...
Carlos E. Buss   +7 more
wiley   +1 more source

Mining Association rules for Low-Frequency itemsets. [PDF]

open access: yesPLoS ONE, 2018
High utility itemset mining has become an important and critical operation in the Data Mining field. High utility itemset mining generates more profitable itemsets and the association among these itemsets, to make business decisions and strategies ...
Jimmy Ming-Tai Wu   +2 more
doaj   +1 more source

Identifying and characterising a plant GH1 β‐glucosidase that exhibits hydrolytic activity on N‐linked glucopyranoside

open access: yesFEBS Open Bio, EarlyView.
We report the first β‐glucosidase with demonstrated hydrolytic activity on an N‐linked glycopyranoside. The enzyme, native to maize, was biochemically characterised for this novel reaction, and structural modelling of the enzyme–substrate complex revealed several clues to the underlying reduced catalytic rate relative to its native O‐glycopyranoside ...
Hani Gharabli   +3 more
wiley   +1 more source

Hiding Sensitive High Utility and Frequent Itemsets Based on Constrained Intersection Lattice

open access: yesCybernetics and Information Technologies, 2022
Hiding high utility and frequent itemset is the method used to preserve sensitive knowledge from being revealed by pattern mining process. Its goal is to remove sensitive high utility and frequent itemsets from a database before sharing it for data ...
Vy Huynh Trieu   +4 more
doaj   +1 more source

The Bureau of Mines Electric Utility Model [PDF]

open access: yesOperations Research, 1994
Discussion of alternative proposals to control emission precursors of acid precipitation focused on their effects on the electric power and coal industries. The Bureau of Mines was concerned about possible indirect effects on electricity-intensive mineral processing facilities, and sponsored research to help it estimate these effects.
Edward L. Hillsman   +2 more
openaire   +2 more sources

Identification and characterisation of calcitonin receptor isoforms expressed in glioblastoma derived glioma stem and U‐87 MG cells

open access: yesFEBS Open Bio, EarlyView.
Glioblastoma cells express calcitonin receptor variants (CT receptor isoforms) that may help them survive stress. Using qPCR, transcript‐specific long‐read nanopore sequencing, immunofluorescence co‐localisation and comparative sequence analysis, this study identifies a novel alternatively spliced CALCR transcript that encodes the CTb receptor isoform ...
Pragya Gupta   +7 more
wiley   +1 more source

A New Algorithm for High Average-utility Itemset Mining [PDF]

open access: yesJournal of Artificial Intelligence and Data Mining, 2019
High utility itemset mining (HUIM) is a new emerging field in data mining which has gained growing interest due to its various applications. The goal of this problem is to discover all itemsets whose utility exceeds minimum threshold.
A. Soltani, M. Soltani
doaj   +1 more source

Utility-Oriented String Mining

open access: yes
A string is often provided with numerical scores (utilities) which quantify the importance, interest, profit, or risk of the letters occurring at every position of the string. For example, every DNA fragment produced by modern sequencing machines comes with a confidence score per position.
G. Bernardini (Giulia)   +7 more
openaire   +6 more sources

Comparative assessment of crystallographic and cryo‐EM models in the Protein Data Bank

open access: yesFEBS Open Bio, EarlyView.
Raw data obtained by X‐ray crystallography or cryo‐EM result in experimental maps, ultimately fitted by atomic models. Although the physical principles are different, the final results can be viewed, compared, and evaluated in the same way. With cryogenic electron microscopy (cryo‐EM) on track to surpass X‐ray crystallography as the preferred method ...
Alexander Wlodawer   +7 more
wiley   +1 more source

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