Results 91 to 100 of about 2,599,171 (311)
Mining Closed Gradual Patterns [PDF]
, 2010 Mining gradual rules of the form - "the more A, the more B"- is more and more grasping the interest of the data mining community. Several approaches have been recently proposed. Unfortunately, in all surveyed approaches, reducing the quantity of mined patterns (and, consequently, the quantity of extracted rules) was not the main concern.
Ayouni, Sarra +3 more
openaire +2 more sources
Pincer-Style Maximal Sequential Pattern Mining
, 2015 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
core
Sequential Pattern Mining and Nonmonotonic Reasoning for Intelligent Information Agents
, 2007 With the explosive growth of information available on the Internet, more effective data mining and data reasoning mechanism is required to process the sheer volume of information. Belief revision logic offers the expressive power to represent information
Lau, Raymond +5 more
core +1 more source
Advanced Engineering Materials, EarlyView.This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Dramatically Reducing Search for High Utility Sequential Patterns by Maintaining Candidate Lists
Information, 2020 A ubiquitous challenge throughout all areas of data mining, particularly in the mining of frequent patterns in large databases, is centered on the necessity to reduce the time and space required to perform the search.
Scott Buffett
doaj +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
Advanced Engineering Materials, EarlyView.High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 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
core
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
Recursive Queried Frequent Patterns Algorithm: Determining Frequent Pattern Sets from Database
InformationFrequent pattern mining is a fundamental method for Data Mining, applicable in market basket analysis, recommendation systems, and academic analytics. Widely adopted and foundational algorithms such as Apriori and FP-Growth, which represent the standard ...
Ishtiyaq Ahmad Khan +3 more
doaj +1 more source
Pattern-Based and Visual Analytics for Visitor Analysis on Websites
Applied Sciences, 2019 In this paper, We present how we combined visualization and machine learning techniques to provide an analytic tool for web log data.We designed a visualization where advertisers can observe the visits to their different pages on a site, common web ...
Bárbara Cervantes +5 more
doaj +1 more source