Results 41 to 50 of about 2,649,704 (304)
A Non-Sequential Representation of Sequential Data for Churn Prediction [PDF]
We investigate the length of event sequence giving best predictions when using a continuous HMM approach to churn prediction from sequential data. Motivated by observations that predictions based on only the few most recent events seem to be the most ...
Eastwood, Mark +4 more
core +1 more source
Location-Based Parallel Sequential Pattern Mining Algorithm
Given a data sequence, sequential pattern mining, which finds frequent sequence patterns among them, is an important data mining problem. However, in the existing sequential pattern mining, only the purchase order of the items is considered, and the ...
Byoungwook Kim, Gangman Yi
doaj +1 more source
Diffusion tensor imaging of sequential neuropathological patterns in progressive supranuclear palsy
Background and objectiveA neuropathological cerebral staging concept for progressive supranuclear palsy (PSP) has been proposed that tau inclusions in PSP may progress in a sequential regional pattern.
Lavinia A. Bârlescu +34 more
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
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
Pattern recognition in neural networks with competing dynamics: coexistence of fixed-point and cyclic attractors. [PDF]
We study the properties of the dynamical phase transition occurring in neural network models in which a competition between associative memory and sequential pattern recognition exists.
José L Herrera-Aguilar +2 more
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
Finding anomalies in SCADA logs using rare sequential pattern mining [PDF]
Pattern mining is a branch of data mining used to discover hidden patterns or correlations among data. We use rare sequential pattern mining to find anomalies in critical infrastructure control networks such as supervisory control and data acquisition ...
Radke, Kenneth +11 more
core +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
doaj +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

