Results 101 to 110 of about 110,266 (316)

Incremental Mining of High Utility Patterns in One Phase by Absence and Legacy-Based Pruning

IEEE Access, 2019
Mining high utility patterns in dynamic databases is an important data mining task. While a naive approach is to mine a newly updated database in its entirety, the state-of-the-art mining algorithms all take an incremental approach. However, the existing
Junqiang Liu, Xinyi Ju, Xingxing Zhang, Benjamin C. M. Fung, Xiangcai Yang, Changhong Yu   +5 more
doaj   +1 more source

Periodic Pattern Mining a Algorithms and Applications

, 2013
Owing to a large number of applications periodic pattern mining has been extensively studied for over a decade Periodic pattern is a pattern that repeats itself with a specific period in a give sequence Periodic patterns can be mined from datasets like
Shashi Mogalla, G.N.V.G. Sirisha, G.V. Padma Raju   +2 more
core  

Discovering Exclusive Patterns in Frequent Sequences [PDF]

, 2010
This paper presents a new concept for pattern discovery in frequent sequences with potentially interesting applications. Based on data mining, the approach aims to discover exclusive sequential patterns (ESP) by checking the relative exclusion of ...
Weiru Chen, Chen, Weiru, Jing Lu, Lu, Jing, Keech, Malcolm, Malcolm Keech   +5 more
core   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Mining Frequent Synchronous Patterns based on Item Cover Similarity

International Journal of Computational Intelligence Systems, 2018
In previous work we presented CoCoNAD (Continuous-time Closed Neuron Assembly Detection), a method to find significant synchronous patterns in parallel point processes with the goal to analyze parallel neural spike trains in neurobiology3,9.
Salatiel Ezennaya-Gomez, Christian Borgelt   +1 more
doaj   +1 more source

Paradoxical Correlation Pattern Mining

IEEE Transactions on Knowledge and Data Engineering, 2018
Given a large transactional database, correlation computing/association analysis aims at efficiently finding strongly correlated items. For traditional association analysis, relationships among variables are usually measured at a global level. In this study, we investigate confounding factors that can help to capture abnormal correlation behaviors at a
Wenjun Zhou 0001, Hui Xiong 0001, Lian Duan, Keli Xiao, Robert W. Mee   +4 more
openaire   +1 more source

Polyimide‐Linked Hexaazatriphenylene‐Based Porous Organic Polymer with Multiple Redox‐Active Sites as a High‐Capacity Organic Cathode for Lithium‐Ion Batteries

Advanced Materials, EarlyView.
A high‐capacity polyimide‐linked porous organic polymer (HAT‐PTO) incorporating numerous redox‐active centers is synthesized via a hydrothermal reaction, delivering a high theoretical capacity of 484 mAh g−1. In situ hybridization with carboxyl‐functionalized multiwalled carbon nanotubes enhances conductivity and stability, achieving 397 mAh g−1 at C ...
Arindam Mal, Jonathan Caroni, Asia Patriarchi, Olivera Luzanin, Rafael Ramos, Jan Bitenc, Manuel Melle‐Franco, Manuel Souto   +7 more
wiley   +1 more source

Interesting Concept Mining With Concept Lattice Convolutional Networks

IEEE Access
The extraction of meaningful conceptual structures is often a critical task in many scientific and engineering disciplines, as it enables a comprehensive analysis of complex data in terms of both context and content.
Mohamed Hamza Ibrahim, Rokia Missaoui, Pedro Henrique B. Ruas   +2 more
doaj   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

An exploration of pattern mining with ChatGPT

Proceedings of the 29th European Conference on Pattern Languages of Programs, People, and Practices
This paper takes an exploratory approach to examine the use of ChatGPT for pattern mining. It proposes an eight-step collaborative process that combines human insight with AI capabilities to extract patterns from known uses. The paper offers a practical demonstration of this process by creating a pattern language for integrating Large Language Models ...
openaire   +2 more sources