A data mining approach to discovering reliable sequential patterns
, 2013 Sequential pattern mining is a data mining method for obtaining frequent sequential patterns in a sequential database. Conventional sequence data mining methods could be divided into two categories: Apriori-like methods and pattern growth methods.
Shyur, Huan-Jyh +1 more
core +1 more source
Advanced Materials Technologies, EarlyView.This review summarizes moisture‐adaptive strategies that enable triboelectric nanogenerators (TENGs) to operate across diverse moisture conditions. It examines moisture‐management methods, including exclusion, directional transport, removal, and utilization, with charge‐regulation approaches based on interfacial, dielectric, and structural engineering.
Junzhe Gan +4 more
wiley +1 more source
A comparative study of sequential pattern mining algorithms
, 2017 The explosion of big data has affected the operation of every type of organization. Each organization is doing its best to utilize the new technologies for capturing, organizing, accessing and analyzing data to enable it to gain insight which is needed ...
Katpally, Sreeja Reddy
core +1 more source
3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
Advanced Robotics Research, EarlyView.Collectively, this review systematically examines 3D‐printed soft robotics, encompassing material selections, function integration, and manufacturing methodologies. Meanwhile, fabrication strategies are analyzed in order of increasing complexity, highlighting persistent challenges with proposed solutions.
Changjiang Liu +5 more
wiley +1 more source
Study on Visual Techniques of Potential Pattern Discovery for Time Series Data
MATEC Web of Conferences, 2018 Sequential pattern mining is always a very important branch of time series data mining. The pattern mining with visual means can be used to extract the knowledge of time series data more intuitively. Based on the research content, this paper analyzes the
Xu Dalin, Wei Yingmei
doaj +1 more source
Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing
Advanced Robotics Research, EarlyView.This work presents a degradable soft magnetic composite made from recycled NdFeB particles embedded in a gelatin‐based organogel. The material is processed into magnetic sensors and soft robotic components, which can later be dissolved in a green solvent to recover NdFeB magnetic particles.
Muhammad Bilal Khan +14 more
wiley +1 more source
Using the Diagnostic Odds Ratio to Select Patterns to Build an Interpretable Pattern-Based Classifier in a Clinical Domain: Multivariate Sequential Pattern Mining Study. [PDF]
JMIR Med Inform, 2022 Casanova IJ +5 more
europepmc +1 more source
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
Advanced Robotics Research, EarlyView.This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
wiley +1 more source
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: An application to rugby union. [PDF]
PLoS One, 2021 Bunker R, Fujii K, Hanada H, Takeuchi I.
europepmc +1 more source
Multidimensional Sequential Pattern Mining
, 2014 - Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mining, and sequential pattern mining.
Nitin Shukla, Priyanka Tiwari
core