Results 71 to 80 of about 45,837 (241)

Efficient Incremental Breadth-Depth XML Event Mining

, 2011
Many applications log a large amount of events continuously. Extracting interesting knowledge from logged events is an emerging active research area in data mining.
Boussaïd, Omar, Darmont, Jérôme, Salem, Rashed   +2 more
core   +2 more sources

Data Mining of Infertility and Factors Influencing Its Development: A Finding From a Prospective Cohort Study of RaNCD in Iran

Health Science Reports, Volume 8, Issue 1, January 2025.
ABSTRACT Background and Aims Infertility, as defined by the World Health Organization, is the inability to conceive after 12 months of regular, unprotected intercourse. This study aimed to identify factors influencing infertility by applying data mining techniques, specifically rule‐mining methods, to analyze diverse patient data and uncover relevant ...
Hosna Heydarian, Masoumeh Abbasi, Farid Najafi, Mitra Darbandi   +3 more
wiley   +1 more source

Inverted Index Automata Frequent Itemset Mining for Large Dataset Frequent Itemset Mining

IEEE Access
Frequent itemset mining (FIM) faces significant challenges with the expansion of large-scale datasets. Traditional algorithms such as Apriori, FP-Growth, and Eclat suffer from poor scalability and low efficiency when applied to modern datasets characterized by high dimensionality and high-density features.
Xin Dai, Haza Nuzly Abdull Hamed, Qichen Su, Xue Hao   +3 more
openaire   +2 more sources

A multi‐agent K‐means with case‐based reasoning for an automated quality assessment of software requirement specification

IET Communications, Volume 19, Issue 1, January/December 2025.
This paper proposed an Automated Quality Assessment of SRS (AQA‐SRS) framework by integrating four popular methods which are; NLP, K‐means, MAS, and CBR to assess the quality of SRS documents. The NLP utilize for feature extraction, K‐means for features clustering, MAS for interactive assessment and feature selection decision, and CBR for managing the ...
Mohammed Ahmed Jubair, Salama A. Mostafa, Aida Mustapha, Mohamad Aizi Salamat, Mustafa Hamid Hassan, Mazin Abed Mohammed, Fahad Taha AL‐Dhief   +6 more
wiley   +1 more source

Frequent Closed High-Utility Itemset Mining Algorithm Based on Leiden Community Detection and Compact Genetic Algorithm

IEEE Access
Traditional pattern mining algorithms are based on tree and linked list structures. However, they often only consider a single factor of frequency or utility and have to deal with exponential search spaces as well as generate numerous candidates.
Xiumei Zhao, Xincheng Zhong, Bing Han
doaj   +1 more source

Privacy Preserving Utility Mining: A Survey

, 2018
In big data era, the collected data usually contains rich information and hidden knowledge. Utility-oriented pattern mining and analytics have shown a powerful ability to explore these ubiquitous data, which may be collected from various fields and ...
Chao, Han-Chieh, Gan, Wensheng, Lin, Jerry Chun-Wei, Wang, Shyue-Liang, Yu, Philip S.   +4 more
core   +1 more source

An AI knowledge‐based system for police assistance in crime investigation

Expert Systems, Volume 42, Issue 1, January 2025.
Abstract The fight against crime is often an arduous task overall when huge amounts of data have to be inspected, as is currently the case when it comes for example in the detection of criminal activity on the dark web. This work presents and describes an artificial intelligence (AI) based system that combines various tools to assist police or law ...
Carlos Fernandez‐Basso, Karel Gutiérrez‐Batista, Juan Gómez‐Romero, M. Dolores Ruiz, Maria J. Martin‐Bautista   +4 more
wiley   +1 more source

A Deduplication and Extraction Algorithm for Frequent Itemsets of Overlapping Data Between Power Categories Based on Variable Time Windows

International Journal of Computational Intelligence Systems
In the process of data extraction, the rigid partitioning mechanism of fixed time windows leads to spatiotemporal heterogeneity mismatches in data distribution, resulting in semantic confusion and redundancy accumulation in mining results. To address the
Jie Zhang, Jing Liu, Chenyang Hu, Xin Huang   +3 more
doaj   +1 more source

Negative and Positive Association Rules Mining from Text Using Frequent and Infrequent Itemsets

The Scientific World Journal, 2014
Association rule mining research typically focuses on positive association rules (PARs), generated from frequently occurring itemsets. However, in recent years, there has been a significant research focused on finding interesting infrequent itemsets ...
Sajid Mahmood, Muhammad Shahbaz, Aziz Guergachi   +2 more
doaj   +1 more source

Research on Risk Identification of Coal Mine Ventilation Systems Based on HFACS and Apriori Algorithm

Advances in Civil Engineering, Volume 2025, Issue 1, 2025.
The coal industry has always been a typically high‐risk industry with frequent accidents and extremely adverse impacts. Cases of accidents in coal mine ventilation systems serve as a concentrated demonstration of accident hazards and hold significant value for identifying key risk factors that may induce disasters in coal mine ventilation systems. This
Mingjia Jing, Guoxing Zhang, Dongjie Yang, Hongli Qin, Manoj Khandelwal   +4 more
wiley   +1 more source