Revisiting Numerical Pattern Mining with Formal Concept Analysis [PDF]
, 2011 In this paper, we investigate the problem of mining numerical data in the framework of Formal Concept Analysis. The usual way is to use a scaling procedure --transforming numerical attributes into binary ones-- leading either to a loss of information or ...
Kaytoue, Mehdi +2 more
core +5 more sources
Using Answer Set Programming for pattern mining [PDF]
, 2014 Serial pattern mining consists in extracting the frequent sequential patterns from a unique sequence of itemsets. This paper explores the ability of a declarative language, such as Answer Set Programming (ASP), to solve this issue efficiently. We propose
Guyet, Thomas +2 more
core +3 more sources
Modified GUIDE (LM) algorithm for mining maximal high utility patterns from data streams [PDF]
International Journal of Computational Intelligence Systems, 2015 High utility pattern mining is an emerging research topic in the data mining field. Unlike frequent pattern mining, high utility pattern mining deals with non-binary databases, in which the information about purchased quantities of items is maintained ...
Chiranjeevi Manike, Hari Om
doaj +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
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
Enhancing News Articles: Automatic SEO Linked Data Injection for Semantic Web Integration
Applied SciencesThis paper presents a novel solution aimed at enhancing news web pages for seamless integration into the Semantic Web. By utilizing advanced pattern mining techniques alongside OpenAI’s GPT-3, we rewrite news articles to improve their readability and ...
Hamza Salem +4 more
doaj +1 more source
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 +5 more
doaj +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
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 +1 more
doaj +1 more source
Interesting Concept Mining With Concept Lattice Convolutional Networks
IEEE AccessThe 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 +2 more
doaj +1 more source