Results 101 to 110 of about 719,228 (260)
CoverSize: A Global Constraint for Frequency-based Itemset Mining
Constraint Programming is becoming competitive for solving certain data-mining problems largely due to the development of global constraints. We introduce the CoverSize constraint for itemset mining problems, a global constraint for counting and ...
Aoga, John +3 more
core +2 more sources
Integrating Constraint Programming and Itemset Mining [PDF]
Over the years many pattern mining tasks and algorithms have been proposed. Traditionally, the focus of these studies was on the efficiency of the computation and the scalability towards very large databases. Little research has however been done on a general framework that encompasses several of these problems. In earlier work we showed how constraint
Nijssen, Siegfried, Guns, Tias
openaire +3 more sources
TKFIM: Top-K frequent itemset mining technique based on equivalence classes. [PDF]
Iqbal S +5 more
europepmc +1 more source
The Duality of Frequent-Itemset Mining and Erasable-Itemset Mining
In data mining, frequent-itemset mining and erasable-itemset mining are two standard and practical techniques for finding useful itemsets. Frequent-itemset mining is a significant pre-processing step in the search for association rules and is mainly ...
Wang, Chun-Ho
core
Video Mining with Frequent Itemset Configurations [PDF]
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 +2 more
openaire +1 more source
Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining
Blohm S, Cimiano P. Scaling up Pattern Induction for Web Relation Extraction through Frequent Itemset Mining. In: Adrian B, Neumann G, Troussov A, Popov B, eds.
Troussov, Alexander +5 more
core
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
Inverted Index Automata Frequent Itemset Mining for Large Dataset Frequent Itemset Mining
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 ...
Xin Dai +3 more
doaj +1 more source
Itemset mining: A constraint programming perspective
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Guns, Tias +2 more
openaire +3 more sources
Frequent itemset mining in high dimensional data: a review [PDF]
This paper provides a brief overview of the techniques used in frequent itemset mining. It discusses the search strategies used; i.e. depth first vs. breadth-first, and dataset representation; i.e. horizontal vs. vertical representation.
Nurul Fariza Zulkurnain +3 more
core +1 more source

