Results 31 to 40 of about 391,967 (186)

FP-tree and COFI Based Approach for Mining of Multiple Level Association Rules in Large Databases

, 2010
In recent years, discovery of association rules among itemsets in a large database has been described as an important database-mining problem. The problem of discovering association rules has received considerable research attention and several ...
Kumar, Parveen, Pardasani, K. R., Shrivastava, Virendra Kumar   +2 more
core   +1 more source

Association rules recommendation algorithm supporting recommendation nonempty

Tongxin xuebao, 2017
Existing association rule recommendation technologies were focus on extraction efficiency of association rule in data mining.However,it lacked consideration of recommendation balance between popular and unusual data and efficient processing.In order to ...
Ming HE, Wei-shi LIU, Jiang ZHANG
doaj   +2 more sources

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

Particle Swarm Optimization-Based Association Rule Mining in Big Data Environment

IEEE Access, 2019
With the explosive growth of information data in today's society, the continuous accumulation and increase of data in recent years make it difficult to extract useful information from it, so data mining comes into being.
Tong Su, Haitao Xu, Xianwei Zhou
doaj   +1 more source

Class Association Rules Mining based Rough Set Method [PDF]

, 2015
This paper investigates the mining of class association rules with rough set approach. In data mining, an association occurs between two set of elements when one element set happen together with another. A class association rule set (CARs) is a subset of
Slimani, Thabet
core  

A Hybrid Web Recommendation System based on the Improved Association Rule Mining Algorithm

, 2013
As the growing interest of web recommendation systems those are applied to deliver customized data for their users, we started working on this system.
Mukhopadhyay, Debajyoti, Vij, Sheetal, Wanaskar, Ujwala   +2 more
core   +1 more source

niarules: Advancing interpretable machine learning through numerical association rule mining and 3D coral plot visualization

SoftwareX
Numerical association rule mining remains comparatively underexplored in interpretable machine learning, largely due to the challenges of handling continuous variables and the limited availability of effective visualization techniques.
Iztok Fister Jr, Gerlinde Emsenhuber, Jan Hendrik Plümer, Iztok Fister, Andreas Holzinger   +4 more
doaj   +1 more source

Semi-Trusted Mixer Based Privacy Preserving Distributed Data Mining for Resource Constrained Devices [PDF]

, 2010
In this paper a homomorphic privacy preserving association rule mining algorithm is proposed which can be deployed in resource constrained devices (RCD).
Kaosar, Md. Golam, Yi, Xun
core   +1 more source

Incremental topological spatial association rule mining and clustering from geographical datasets using probabilistic approach

Journal of King Saud University: Computer and Information Sciences, 2018
Due to the dynamic updating of real time spatial databases, the preservation of spatial association rules for dynamic database is a vital issue because the updates may not only invalidate some existing rules but also make other rules relevant ...
Y. Jayababu, G.P.S. Varma, A. Govardhan
doaj   +1 more source

Data sanitization in association rule mining based on impact factor [PDF]

Journal of Artificial Intelligence and Data Mining, 2015
Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns.
A. Telikani, A. Shahbahrami, R. Tavoli
doaj   +1 more source