Results 41 to 50 of about 312,970 (308)
An Algorithm for Mining High Utility Sequential Patterns with Time Interval
Mining High Utility Sequential Patterns (HUSP) is an emerging topic in data mining which attracts many researchers. The HUSP mining algorithms can extract sequential patterns having high utility (importance) in a quantitative sequence database.
Duong Tran Huy +4 more
doaj +1 more source
Background Excessive sequential stereotypy of behavioral patterns (sequential super-stereotypy) in Tourette's syndrome and obsessive compulsive disorder (OCD) is thought to involve dysfunction in nigrostriatal dopamine systems.
Houchard Kimberly R +3 more
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Mining Sequential Patterns with VC-Dimension and Rademacher Complexity
Sequential pattern mining is a fundamental data mining task with application in several domains. We study two variants of this task—the first is the extraction of frequent sequential patterns, whose frequency in a dataset of sequential transactions is ...
Diego Santoro +2 more
doaj +1 more source
A Survey of Sequential Pattern Based E-Commerce Recommendation Systems
E-commerce recommendation systems usually deal with massive customer sequential databases, such as historical purchase or click stream sequences. Recommendation systems’ accuracy can be improved if complex sequential patterns of user purchase behavior ...
Christie I. Ezeife, Hemni Karlapalepu
doaj +1 more source
Sequential Pattern Mining Suggests Wellbeing Supportive Behaviors
Amidst the headlines about the attention economy and the possible impacts of screen time, research investigating the complex relationship between digital technology usage and wellbeing has gained urgency.
Muhammad J. Alibasa +2 more
doaj +1 more source
Parallel Sequential Pattern Mining of Massive Trajectory Data [PDF]
The trajectory pattern mining problem has recently attracted much attention due to the rapid development of location-acquisition technologies, and parallel computing essentially provides an alternative method for handling this problem.
Shaojie Qiao, Tianrui Li, Jing Peng
doaj +1 more source
Sequential pattern mining is to discover frequent sequential patterns in a sequence database. The technique is applied to fields such as web click-stream mining, failure forecast, and traf- fic analysis.
Shyur, Huan-Jyh;Jou, Chichang;Cheng, Chi-Bin;Yen, Chih-Yu +2 more
core +1 more source
ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
A Graph-Based Differentially Private Algorithm for Mining Frequent Sequential Patterns
Currently, individuals leave a digital trace of their activities when they use their smartphones, social media, mobile apps, credit card payments, Internet surfing profile, etc.
Miguel Nunez-del-Prado +4 more
doaj +1 more source
ABSTRACT Background Osteosarcoma (OS) and Ewing sarcoma (EWS) are the most common primary bone cancers in children, but acute thrombosis is poorly characterized in this population. Our study evaluated the rates of venous thromboembolism (VTE) and associated risk factors in pediatric patients with bone sarcomas treated over a 10‐year period encompassing
Sarah Kappa +8 more
wiley +1 more source

