Results 91 to 100 of about 10,877 (201)

Frequent Itemset Mining and Association Rules [PDF]

, 2006
With the advent of mass storage devices, databases have become larger and larger. Point-of-sale data, patient medical data, scientific data, and credit card transactions are just a few sources of the ever-increasing amounts of data. These large datasets provide a rich source of useful information.
Imberman S., Tansel A.U.
openaire   +3 more sources

Video Mining with Frequent Itemset Configurations [PDF]

, 2006
We present a method for mining frequently occurring objects and scenes from videos. Object candidates are detected by finding recurring spatial arrangements of affine covariant regions. Our mining method is based on the class of frequent itemset mining algorithms, which have proven their efficiency in other domains, but have not been applied to video ...
Quack, Till, Ferrari, Vittorio, van Gool, Luc   +2 more
openaire   +2 more sources

An efficient and resilience linear prefix approach for mining maximal frequent itemset using clustering

Journal of Safety Science and Resilience
The numerous volumes of data generated every day necessitate the deployment of new technologies capable of dealing with massive amounts of data efficiently.
M. Sinthuja, S. Pravinthraja, B K Dhanalakshmi, H L Gururaj, Vinayakumar Ravi, G Jyothish Lal   +5 more
doaj   +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, Matsushima, Shin, Yamanishi, Kenji   +2 more
core  

Research on Frequent Itemset Mining of Imaging Genetics GWAS in Alzheimer's Disease. [PDF]

Genes (Basel), 2022
Liang H, Cao L, Gao Y, Luo H, Meng X, Wang Y, Li J, Liu W.   +7 more
europepmc   +1 more source

TKFIM: Top-K frequent itemset mining technique based on equivalence classes. [PDF]

PeerJ Comput Sci, 2021
Iqbal S, Shahid A, Roman M, Khan Z, Al-Otaibi S, Yu L.   +5 more
europepmc   +1 more source

Peak-Jumping Frequent Itemset Mining Algorithms [PDF]

, 2006
We analyze algorithms that, under the right circumstances, permit efficient mining for frequent itemsets in data with tall peaks (large frequent itemsets). We develop a family of level-by-level peak-jumping algorithms, and study them using a simple probability model. The analysis clarifies why the jumping idea sometimes works well, and which properties
Dexters, Nele, Purdom, P.W., van Gucht, D.   +2 more
openaire   +2 more sources

Penerapan Algoritma Apriori Untuk Membantu Calon Mahasiswa Dalam Memilih Program Studi Di Fakultas Ilmu Komputer Universitas Dian Nuswantoro

JOINS (Journal of Information System), 2017
Abstrak Menuut Educational Psychologist dari Integrity Development Flexibility (IDF) Irene Guntur, M.Psi., CGA, sebanyak 87%mahasiswa di Indonesia salahjurusan.Sering terjadi ketidakseimbangan antara jumlah mahasiswa yang diterima dengan jumlah ...
Marshela Dinda Amalia, Lalang Erawan
doaj  

Itemset mining: A constraint programming perspective

Artificial Intelligence, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guns, Tias, Nijssen, Siegfried, De Raedt, Luc   +2 more
openaire   +3 more sources

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, Sais, Lakhdar, Salhi, Yakoub   +2 more
core   +1 more source