Results 81 to 90 of about 3,318,937 (295)
An Efficient Algorithm for Frequent Pattern Mining for Real-Time Business Intelligence Analytics in Dense Datasets [PDF]
Finding frequent patterns from databases has been the most time consuming process in data mining tasks, like association rule mining. Frequent pattern mining in real-time is of increasing thrust in many business applications such as e-commerce ...
Dass, Rajanish
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Advanced Functional Materials, EarlyView.ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo +10 more
wiley +1 more source
Algorithms for Extracting Frequent Episodes in the Process of Temporal Data Mining [PDF]
An important aspect in the data mining process is the discovery of patterns having a great influence on the studied problem. The purpose of this paper is to study the frequent episodes data mining through the use of parallel pattern discovery algorithms.
Alexandru PIRJAN
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Ubiquitous data stream mining [PDF]
, 2004 The dissemination of data stream systems, wireless networks and mobile devices motivates the need for an efficient data analysis tool capable of gaining insights about these continuous data streams.
Zaslavsky, Arkady +5 more
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Advanced Functional Materials, EarlyView.A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao +6 more
wiley +1 more source
Mining XML Frequent Query Patterns [PDF]
, 2007 With XML being the standard for data encoding and exchange over Internet, how to find the interesting XML query characteristic efficiently becomes a critical issue. Mining frequent query pattern is a technique to discover the most frequently occurring query pattern trees from a large collection of XML queries.
Cheng Hua, Hai-jun Zhao, Yi Chen
openaire +1 more source
Mining frequent itemsets a perspective from operations research [PDF]
Many papers on frequent itemsets have been published. Besides somecontests in this field were held. In the majority of the papers the focus ison speed. Ad hoc algorithms and datastructures were introduced.
Kosters, W.A., Pijls, W.H.L.M.
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Self‐Assembled Hybrid Cell‐Enzyme Materials for Gas‐Powered Biocatalysis
Advanced Functional Materials, EarlyView.Integrating living cells with programmable enzyme networks enables hybrid materials that convert gaseous feedstocks into chemical reducing power. These gas‐powered catalytic beads operate as modular, recyclable platforms for adaptive biocatalysis and sustainable synthesis.
Marius Stoeckle +2 more
wiley +1 more source
A GENERAL SURVEY ON FREQUENT PATTERN MINING USING GENETIC ALGORITHM [PDF]
ICTACT Journal on Soft Computing, 2012 In recent years, data mining is an important aspect for generating association rules among the large number of itemsets. Association rule mining is one of the techniques in data mining that that has two sub processes. First, the process called as finding
K. Poornamala, R. Lawrance
doaj
Location-Based Parallel Sequential Pattern Mining Algorithm
IEEE Access, 2019 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