Results 91 to 100 of about 43,860 (295)

COMPRESSED FREQUENT PATTERN TREE

, 2017
<p>The use of Data mining is increasing very rapidly as daily analysis of transaction database consisting of data is increasing. In that data, there ae various item which occur frequently in same pattern.
Jiten Gudkha, Ashish Patel, Swapnil More. Project Guide – Prof. Christi Lopez.
core   +1 more source

A reconfigurable platform for frequent pattern mining [PDF]

, 2008
In this paper, a new hardware architecture for frequent pattern mining based on a systolic tree structure is pro-posed. The goal of this architecture is to mimic the internal memory layout of the original FP-growth algorithm while achieving a much higher
Song Sun, Michael Steffen, Joseph Zambreno   +2 more
core   +1 more source

Clinical Spectrum and Outcomes of SOX1 Antibody‐Associated Paraneoplastic Neurological Syndromes: A Chinese Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background SOX1 antibody‐positive paraneoplastic neurological syndromes (PNS) exhibit significant population‐specific clinical heterogeneity. While Western cohorts predominantly manifest Lambert‐Eaton myasthenic syndrome (65%–80%), comprehensive clinical characterization and treatment response data in Asian populations remain critically ...
Jin‐Long Ye, Zu‐Ying Kuang, Bo Li, Meng‐Qiu Pan, Li‐Hua Zhou, Yang‐Yang Dai, Si‐Fen Xie, Xian‐Guang Lin, Ye‐Peng Hu, Li‐Hong Jiang, Zhan‐Hang Wang, Wei‐Jing Zhang   +11 more
wiley   +1 more source

Comparative Study of Apriori Algorithm and Frequent Pattern Growth Algorithm

, 2016
Frequent Pattern Matching (FPM) is a very important part of Data Mining. The main aim of Frequent Data Mining is to look for frequently occurring subsets in sequence of sets given.
Gupta, Vinayak, Singh Thind, Prabhjit, Yamuna, M., Arya, Aarushi   +3 more
core   +1 more source

Functional and Structural Evidence of Neurofluid Circuit Aberrations in Huntington Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Disrupted neurofluid regulation may contribute to neurodegeneration in Huntington disease (HD). Because neurofluid pathways influence waste clearance, inflammation, and the distribution of central nervous system (CNS)–delivered therapeutics, understanding their dysfunction is increasingly important as targeted treatments emerge.
Kilian Hett, Abigail Dubois, Melanie Leguizamon, Alexander Song, Paula Trujillo, Colin D. McKnight, Ciaran M. Considine, Manus J. Donahue, Daniel O. Claassen   +8 more
wiley   +1 more source

Travel Frequent-Route Identification Based on the Snake Algorithm Using License Plate Recognition Data

Mathematics
Path flow always plays a critical role in extracting vehicle travel patterns and reflecting network-scale traffic features. However, the comprehensive topological structure of urban road networks induces massive route choices, so frequent travel routes ...
Feiyang Liu, Jie Zeng, Jinjun Tang, TianJian Yu   +3 more
doaj   +1 more source

P-CSREC: A New Approach for Personalized Cloud Service Recommendation

IEEE Access, 2018
It is becoming a challenging issue for users to choose a satisfied service to fit their need due to the rapid growing number of cloud services and the vast amount of service type varieties.
Chengwen Zhang, Zengcheng Li, Tang Li, Yunan Han, Cuicui Wei, Yongqiang Cheng, Yonghong Peng   +6 more
doaj   +1 more source

Complementarity of Long‐Reads and Optical Mapping in Parkinson's Disease for Structural Variants

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Long‐read sequencing and optical genome mapping technologies have the ability to detect large and complex structural variants. This has led to the discovery of novel pathogenic variants in neurodegenerative movement disorders. Thus, we aimed to systematically compare the SV detection capabilities of OGM and ONT in Parkinson's disease.
André Fienemann, Theresa Lüth, Susen Schaake, Carolin Gabbert, Marius Möller, Hauke Busch, Katja Lohmann, Jonas A. Gustafson, Danny E. Miller, Kensuke Daida, Manabu Funayama, Nobutaka Hattori, Samia Ben Sassi, Faycel Hentati, Matthew J. Farrer, Kristian K. Ullrich, Christine Klein, Joanne Trinh   +17 more
wiley   +1 more source

A Scalable Algorithm for Constructing Frequent Pattern Tree

, 2014
Frequent Pattern Tree (FP-Tree) is a compact data structure of representing frequent itemsets. The construction of FP-Tree is very important prior to frequent patterns mining.
Zailani, Abdullah, Mustafa, Mat Deris, Herawan, Tutut, Noraziah, Ahmad   +3 more
core   +1 more source

Mining association rules for the quality improvement of the production process [PDF]

, 2013
Academics and practitioners have a common interest in the continuing development of methods and computer applications that support or perform knowledge-intensive engineering tasks.
Rigal, Fabien, Kamsu-Foguem, Bernard, Mauget, Félix   +2 more
core   +1 more source