Results 21 to 30 of about 9,278,183 (294)

Association rules with graph patterns [PDF]

Proceedings of the VLDB Endowment, 2015
We propose graph-pattern association rules (GPARs) for social media marketing. Extending association rules for item-sets, GPARs help us discover regularities between entities in social graphs, and identify potential customers by exploring social influence. We study the problem of discovering top- k diversified GPARs.
Fan, Wenfei, Wang, Xin, Wu, Yinghui, Xu, Jingbo   +3 more
openaire   +1 more source

EVALUASI KINERJA ALGORITMA ASSOCIATION RULE

Barekeng, 2007
Association is a technique in data mining used to identify the relationship between itemsets in a database (association rule). Some researches in association rule since the invention of AIS algorithm in 1993 have yielded several new algorithms.
Gysber J. Tamaela
doaj   +1 more source

Discovering Drug-Drug Interactions Using Association Rule Mining from Electronic Health Records [PDF]

, 2023
In this paper, we propose utilising Electronic Health Records (EHR) to discover previously unknown drug-drug interactions (DDI) that may result in high rates of hospital readmissions.
Chahed, S., Getting, S., Dwek, M., Chaussalet, T., Nazyrova, N.   +4 more
core   +1 more source

A new rule pruning text categorisation method [PDF]

, 2010
Associative classification integrates association rule and classification in data mining to build classifiers that are highly accurate than that of traditional classification approaches such as greedy and decision tree.
Hadi, Wa'el, McCluskey, T.L., L. McCluskey, McCluskey, L., Hadi, Wa’el, Fadi Thabtah, Hussein Abu-Mansour, Wa'el Hadi, Thabtah, Fadi, Abu-Mansour, Hussein   +9 more
core   +1 more source

Positive and negative association rule mining in Hadoop’s MapReduce environment

Journal of Big Data, 2019
In this paper, we present a Hadoop implementation of the Apriori algorithm. Using Hadoop’s distributed and parallel MapReduce environment, we present an architecture to mine positive as well as negative association rules in big data using frequent ...
Sikha Bagui, Probal Chandra Dhar
doaj   +1 more source

Association Rule Discovery with Unbalanced Class Distributions [PDF]

, 2003
There are many methods for finding association rules in very large data. However it is well known that most general association rule discovery methods find too many rules, many of which are uninteresting rules.
Williams, G., Li, Jiuyong, He, Hongxing, Williams, Graham, Chris Kelman, Gu, L., Kelman, Chris, Hawkins, Simon, Hawkins, S., Hongxing He, Simon Hawkins, Kelman, C., Lifang Gu, Jiuyong Li, He, H., Li, J., Gu, Lifang, Graham Williams   +17 more
core   +1 more source

A First-Out Alarm Detection Method via Association Rule Mining and Correlation Analysis

Entropy, 2023
Alarm systems are commonly deployed in complex industries to monitor the operation status of the production process in real time. Actual alarm systems generally have alarm overloading problems.
Ding Li, Xin Cheng
doaj   +1 more source

Natural products for migraine: Data-mining analyses of Chinese Medicine classical literature

Frontiers in Pharmacology, 2022
Background: Treatment effect of current pharmacotherapies for migraine is unsatisfying. Discovering new anti-migraine natural products and nutraceuticals from large collections of Chinese medicine classical literature may assist to address this gap ...
Claire Shuiqing Zhang, Shaohua Lyu, Shaohua Lyu, Anthony Lin Zhang, Xinfeng Guo, Jingbo Sun, Chuanjian Lu, Xiaodong Luo, Charlie Changli Xue, Charlie Changli Xue   +9 more
doaj   +1 more source

Categorization and regression algorithm based on the quantitative association rule tree

工程科学学报, 2016
To solve the problem of the low efficiency and accuracy of numerical data mining based on the Apriori categorization association rule algorithm,this article introduces a categorization and regression algorithm based on the quantitative association rule ...
WANG Ling, LI Shu-lin, WU Lu-lu
doaj   +1 more source

Investigating Acupoint Selection and Combinations of Acupuncture for Tic Disorders: An Association Rule Mining and Network Analysis Study

Frontiers in Neurology, 2022
ObjectiveTic disorders (TDs) are common mental disorders in children and adolescents, and the clinical application of acupuncture for treating TDs is becoming increasingly widespread.
Jieting Chen, Jieting Chen, Yufeng Xie, Qingchan Lin, Qingchan Lin, Ziliang Qian, Jun Feng, Jun Feng, Jianmei Zhang, Jianmei Zhang, Yun Chen, Wenhan Chen, Yueting Wu, Yueting Wu, Ziyi Guo   +14 more
doaj   +1 more source