Results 111 to 120 of about 4,248,745 (299)
Counting frequent patterns in large labeled graphs: a hypergraph-based approach. [PDF]
Data Min Knowl Discov, 2020 Meng J, Pitaksirianan N, Tu YC.
europepmc +1 more source
Number of frequent patterns in random databases
, 2008 In a tabular database, patterns which occur over a frequency threshold are called frequent patterns. They are central in numerous data processes and various efficient algorithms were recently designed for mining them.
Loïck Lhote, Lhote, Loïck
core +1 more source
From mice to humans—divergent strategies for intestinal homeostasis and regeneration
FEBS Letters, EarlyView.Recent advances such as organoid genome editing, xenotransplantation, imaging, and whole‐genome sequencing have enabled direct studies of human intestinal stem cells (ISCs). These studies reveal species‐specific features, including slower ISC proliferation, distinct injury responses, slower somatic mutation accumulation in humans, and an inverse ...
Keiko Ishikawa +2 more
wiley +1 more source
Reasoning about Frequent Patterns with Negation
, 2009 Discovering of frequent patterns in large databases is an important data mining problem. The problem was introduced in (Agrawal, Imielinski & Swami, 1993) for a sales transaction database.
Marzena Kryszkiewicz
core +1 more source
Structural insights and therapeutic targets in Acinetobacter baumannii capsule biosynthesis
FEBS Letters, EarlyView.Hypervirulent KL49 A. baumannii's capsular polysaccharide contains the nonulosonic acid 8‐epi‐Leg5,7Ac2, synthesized by epimerization via ElaA, ElaB, and ElaC. Crystal structures of ElaA, ElaB, and ElaC reveal their role in CMP‐Leg5,7Ac2 synthesis and regioselective C8 epimerization.
Woo Cheol Lee +7 more
wiley +1 more source
Reasoning about Frequent Patterns with Negation
, 2005 Discovering frequent patterns in large databases is an important data mining problem. The problem was introduced in (Agrawal, Imielinski, & Swami, 1993) for a sales transaction database.
Marzena Kryszkiewicz
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
incremental mining of frequent xml query patterns
, 2004 IEEE Comp Soc, TCCI, IEEE Comp Soc, TCPAMI, IBM Res, StatSoft Ltd, Web Intelligence ConsortiumRecently, the discovering of frequent XML query patterns gains its focus due to its many applications in XML data management, and several algorithms
Yang LH, Chen Y, Wang YG
core +1 more source
Mining Frequent Max and Closed Sequential Patterns
, 2002 Although frequent sequential pattern mining has an important role in many data mining tasks, however, it often generates a large number of sequential patterns, which reduces its efficiency and effectiveness.
Ramin Afshar +2 more
core
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