Results 81 to 90 of about 9,424 (197)
International Journal of Intelligent Systems, Volume 2025, Issue 1, 2025.User and artificial intelligence generated contents, coupled with the multimodal nature of information, have made the identification of false news an arduous task. While models can assist users in improving their cognitive abilities, commonly used black‐box models lack transparency, posing a significant challenge for interpretability.
Peng Wu +4 more
wiley +1 more source
Data‐Driven Materials Research and Development for Functional Coatings
Advanced Science, Volume 11, Issue 42, November 13, 2024.Functional coatings play a vital role in various industries for their protective and functional properties. However, its design often involves time‐consuming experimentation with multiple materials and processing parameters. To overcome these limitations, data‐driven approaches are gaining traction in materials science. This review provides an overview
Kai Xu +8 more
wiley +1 more source
Interactive Constrained Association Rule Mining
, 2003 We investigate ways to support interactive mining sessions, in the setting of association rule mining. In such sessions, users specify conditions (queries) on the associations to be generated.
Bussche, Jan Van den, Goethals, Bart
core +3 more sources
AGING MEDICINE, Volume 7, Issue 5, Page 543-552, October 2024.Factors significantly associated with physical activity outcomes in people with dementia in the final regression models. The figure highlights that psychosocial factors are associated with different constructs related to physical activity. Only the presence of intrapersonal barriers to physical activity was associated with both total physical activity ...
Nicolas Farina +5 more
wiley +1 more source
Research on Frequent Itemset Mining of Imaging Genetics GWAS in Alzheimer's Disease. [PDF]
Genes (Basel), 2022 Liang H +7 more
europepmc +1 more source
Grafting for Combinatorial Boolean Model using Frequent Itemset Mining
, 2017 This paper introduces the combinatorial Boolean model (CBM), which is defined as the class of linear combinations of conjunctions of Boolean attributes. This paper addresses the issue of learning CBM from labeled data.
Lee, Taito +2 more
core
A Mining-Based Compression Approach for Constraint Satisfaction Problems
, 2013 In this paper, we propose an extension of our Mining for SAT framework to Constraint satisfaction Problem (CSP). We consider n-ary extensional constraints (table constraints). Our approach aims to reduce the size of the CSP by exploiting the structure of
Jabbour, Said +2 more
core +1 more source
A Frequent Itemset Hiding Toolbox [PDF]
, 2019 Advances in data collection and data storage technologies have given way to the establishment of transactional databases among companies and organizations, as they allow enormous amounts of data to be stored efficiently. Useful knowledge can be mined from these data, which can be used in several ways depending on the nature of the data.
Kagklis, Vasileios +2 more
openaire +2 more sources
Efficient Top-k Frequent Itemset Mining on Massive Data
Data Science and EngineeringTop-k frequent itemset mining (top-k FIM) plays an important role in many practical applications. It reports the k itemsets with the highest supports.
Xiaolong Wan, Xixian Han
doaj +1 more source
Synthesizing Global Exceptional Patterns in Different Data Sources
Journal of Intelligent Systems, 2012 Many large companies transact from multiple branches. It results in generating multiple databases, since local transactions are stored locally. The number of multi-branch companies as well as the number of branches of a multi-branch company is increasing
Adhikari Animesh
doaj +1 more source