Results 101 to 110 of about 23,652 (302)
Frequent pattern mining on XML documents
With the emergence of XML standardization, XML documents have been widely used and accepted in almost all the major industries. As a result of the widespread usage, it has been considered essential to not only store these XML documents but also to mine ...
Kutty, Sangeetha, Nayak, Richi
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ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi +4 more
wiley +1 more source
Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining
Blohm S, Cimiano P. Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining. In: Adrian B, Neumann G, Troussov A, Popov B, eds.
Troussov, Alexander +5 more
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New approaches to weighted frequent pattern mining [PDF]
Researchers have proposed frequent pattern mining algorithms that are more efficient than previous algorithms and generate fewer but more important patterns.
Yun, Unil
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3D Printing of Soft Robotic Systems: Advances in Fabrication Strategies and Future Trends
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
Frequent spatiotemporal trajectory pattern mining based on pheromone concentration
With the development of positioning technologies (GPS, GSM networks, etc.), the real time data of mobile objects becomes increasingly available. It is leading to new opportunity of discovering behavior pattern and useful knowledge automatically in ...
Wang L(王亮) +3 more
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Mining frequent patterns and association rules using similarities [PDF]
Most of the current algorithms for mining association rules assume that two object subdescriptions are similar when they are exactly equal, but in many real world problems some other similarity functions are used. Commonly these algorithms are divided in
José Francisco Martínez Trinidad +2 more
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Degradable Magnetic Composites from Recycled NdFeB Magnets for Soft Actuation and Sensing
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
Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni +4 more
wiley +1 more source
Pincer-Style Maximal Sequential Pattern Mining
Apriori-based sequential pattern mining algorithms use bottom-up method. They join frequent patterns with shorter length into candidate patterns with longer length, and then repeat the process until no more candidate patterns could be generated.
Jou, Chichang +1 more
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