Results 61 to 70 of about 391,967 (186)

Veri Tabanlarında Bilgi Keşfine Formel Bir Yaklaşım: Kısım 2 - Eşleştirme Sorguları ve Algoritmalar / A Formal Approach to Discovery in Very Large Databases: Part 2 - Association Queries and Algorithms

Bilgi Dünyası, 2003
In this study we utilize formal concept analysis to model association rules. Formal concept analysis provides a topological structure for a universe of objects and attributes.
Hayri Sever, Buket Oğuz
doaj  

MAXLEN-FI: AN ALGORITHM FOR MINING MAXIMUM- LENGTH FREQUENT ITEMSETS FAST

Tạp chí Khoa học Đại học Đà Lạt, 2018
Association rule mining, one of the most important and well-researched techniques of data mining. Mining frequent itemsets are one of the most fundamental and most time-consuming problems in association rule mining.
Phan Thành Huấn, Lê Hoài Bắc
doaj   +1 more source

MANET Mining: Mining Association Rules

, 2011
The growing advances in mobile devices, processing power, display and storage capabilities, together with competitive market has enabled information technology to be more affordable and available to almost everybody around the world. Moreover, with the advent of wireless communications and mobile computing, another type of wireless communications ...
openaire   +3 more sources

Applying negative rule mining to improve genome annotation

BMC Bioinformatics, 2007
Background Unsupervised annotation of proteins by software pipelines suffers from very high error rates. Spurious functional assignments are usually caused by unwarranted homology-based transfer of information from existing database entries to the new ...
Frishman Goar, Artamonova Irena I, Frishman Dmitrij   +2 more
doaj   +1 more source

A Multi-Objective Nutcracker Optimization Algorithm Based on Cubic Chaotic Map for Numerical Association Rule Mining

Applied Sciences
Traditional numerical association rule mining optimization algorithms have limitations in handling discrete attributes, and they are susceptible to becoming trapped in local optima, uneven population distribution, and poor convergence.
Qiwei Hu, Shengbo Hu, Mengxia Liu
doaj   +1 more source

Enhancing Retail Strategies Through Anomaly Detection in Association Rule Mining

IEEE Access
Association rule mining (ARM) is a fundamental technique for uncovering meaningful patterns and relationships within retail datasets, providing valuable insights for decision-making processes in the retail industry.
Bijayini Mohanty, Santi Lata Champati, Swadhin Kumar Barisal   +2 more
doaj   +1 more source

Mining Triadic Association Rules

Computer Science & Information Technology ( CS & IT ), 2013
The objective of this research is to extract triadic association rules from a triadic formal context K := (K 1, K 2, K 3, Y) where K 1, K 2 and K 3 respectively represent the sets of objects, properties (or attributes) and conditions while Y is a ternary relation between these sets.
Sid Ali Selmane, Rokia Missaoui, Omar Boussaid, Fadila Bentayeb   +3 more
openaire   +1 more source

Comorbidity Study of Attention-deficit Hyperactivity Disorder (ADHD) in Children: Applying Association Rule Mining (ARM) to Korean National Health Insurance Data

Iranian Journal of Public Health, 2018
Background: The aim of this study was to explore the comorbidity of Attention-Deficit Hyperactivity Disorder (ADHD) for the Korean national health insurance data (NHID) by using association rule mining (ARM).
Leejin KIM, Sungmin MYOUNG
doaj  

A NOVEL ALGORITHM FOR ASSOCIATION RULE MINING FROM DATA WITH INCOMPLETE AND MISSING VALUES [PDF]

ICTACT Journal on Soft Computing, 2011
Missing values and incomplete data are a natural phenomenon in real datasets. If the association rules mine incomplete disregard of missing values, mistaken rules are derived.
K. Rameshkumar
doaj  

An Incremental High-Utility Mining Algorithm with Transaction Insertion

The Scientific World Journal, 2015
Association-rule mining is commonly used to discover useful and meaningful patterns from a very large database. It only considers the occurrence frequencies of items to reveal the relationships among itemsets.
Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Binbin Zhang   +3 more
doaj   +1 more source