Results 91 to 100 of about 4,248,745 (299)
Mining frequent patterns with counting inference [PDF]
, 2000 International audienceIn this paper, we propose the algorithm PASCAL which introduces a novel optimization of the well-known algorithm Apriori. This optimization is based on a new strategy called pattern counting inference that relies on the concept of ...
Bastide, Yves +4 more
core +1 more source
Efficient Algorithms for Mining Frequent Patterns from Sparse and Dense Databases
Journal of Intelligent Systems, 2015 In this article, we present a new approach for frequent pattern mining (FPM) that runs fast for both sparse and dense databases. Two algorithms, FEM and DFEM, based on our approach are also introduced.
Vu Lan, Alaghband Gita
doaj +1 more source
Generating semantic annotations for frequent patterns with context analysis [PDF]
, 2006 As a fundamental data mining task, frequent pattern mining has widespread applications in many different domains. Research in frequent pattern mining has so far mostly focused on developing efficient algorithms to discover various kinds of frequent ...
Dong Xin +4 more
core +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
Mining frequent patterns for AMP-activated protein kinase regulation on skeletal muscle
BMC Bioinformatics, 2006 Background AMP-activated protein kinase (AMPK) has emerged as a significant signaling intermediary that regulates metabolisms in response to energy demand and supply.
Chen Yi-Ping, Chen Qingfeng
doaj +1 more source
Mining frequent patterns across multiple data streams
, 2011 Mining frequent patterns from data streams has drawn increasing attention in recent years. However, previous mining algorithms were all focused on a single data stream.
Zhang, P, Tan, J, Guo, L, Guo, J
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
THE DISCOVERY OF TOP-K DNA FREQUENT PATTERNS WITH APPROXIMATE METHOD
Malaysian Journal of Computing, 2014 Top-k frequent pattern discovery is indeed an association analysis concerning automatic extraction of the k most correlated and interesting patterns from large databases.
Nittaya Kerdprasop, Kittisak Kerdprasop
doaj +1 more source
A Novel Internet of Things-Centric Framework to Mine Malicious Frequent Patterns
IEEE Access, 2019 There are a number of research challenges associated with Internet of Things (IoT) security, and one of these challenges is to design novel frameworks to mine malicious frequent patterns for identifying misuse and detecting anomalies without incurring ...
Nighat Usman +7 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa +7 more
wiley +1 more source