Results 121 to 130 of about 648,662 (306)
Fast frequent pattern mining. [PDF]
, 2003 Yabo Xu.Thesis (M.Phil.)--Chinese University of Hong Kong, 2003.Includes bibliographical references (leaves 57-60).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.iiiChapter 1 --- Introduction --- p.1Chapter 1.1 --- Frequent ...
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, 2014 In the present paper is constructed a Generalized net model of a process of sequential pattern mining by a generalized sequential pattern algorithm. Sequence pattern mining is a technique used for predictive data mining.
Bureva, V. +5 more
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Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Frequent Pattern Outlier Detection without Exhaustive Mining
, 2016 International audienceOutlier detection consists in detecting anomalous observations from data. During the past decade, outlier detection methods were proposed using the concept of frequent patterns.
Giacometti, Arnaud +3 more
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Reconstructing enzyme evolution by protein engineering
FEBS Letters, EarlyView.Natural enzyme evolution can be retraced by protein engineering methods such as directed evolution, rational design, and ancestral sequence reconstruction. These approaches reveal how enzymes emerged from ligand‐binding scaffolds, developed varying substrate preferences, formed oligomeric complexes, adapted to environmental changes, and evolved novel ...
Lukas Drexler +2 more
wiley +1 more source
Discriminative frequent pattern analysis for effective classification
, 2007 The application of frequent patterns in classification appeared in sporadic studies and achieved initial success in the classification of relational data, text documents and graphs.
Xifeng Yan +3 more
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Is Frequent Pattern Mining useful in building predictive models? [PDF]
, 2020 . The recent studies of pattern mining have given more attention to discovering patterns that are interesting, significant, discriminative and so forth, than simply frequent. Does this imply that the frequent patterns are not useful anymore?
Thashmee Karunaratne
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Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI)Social media users frequently post updates regarding ongoing natural disasters, including specific details and locations. These posts are crucial for real-time insights into such events; however, their informal tone and use of slang can make them ...
Indra Indra +3 more
doaj +1 more source
The role of miR‐335‐5p in the redifferentiation of BRAF p.V600E thyroid cancers
Molecular Oncology, EarlyView.The BRAF p.V600E mutation promotes thyroid cancer dedifferentiation and radioiodine resistance. Using a network approach, we identified miR‐335‐5p as a key regulator of BRAF‐mutated thyroid tumors. Restoring miR‐335‐5p increased thyroid‐specific gene expression and iodine uptake in cells and organoids.
Valeria Pecce +11 more
wiley +1 more source
Mining the regional behavior of shopping with frequent pattern items
, 2010 碩士資料探勘(Data Mining)技術是由資料中挖掘出有用的特徵樣式程序，進而利用發掘出之樣式來解釋現存的行為或預測未來的結果，這些是一些傳統資料分析工具所無法解決的問題，本文之目標在於應用資料探勘技術從業界交易資料庫中，挖掘感興趣的關聯規則(Association Rule)，進而發現銷售商品彼此之間的關聯度以及商品和目標間的關係。 網際網路的興起對目前的生活型態及商業模式產生關鍵性的影響，而電子商務的交易方式和一般商店的消費方式有什麼不同，關健在於區域，傳統的行銷方式行銷會以商家附近開始進行行銷，
李延興; Lee, Yen-hsing
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