Results 31 to 40 of about 719,228 (260)
arules - A Computational Environment for Mining Association Rules and Frequent Item Sets [PDF]
, 2005 Mining frequent itemsets and association rules is a popular and well researched approach for discovering interesting relationships between variables in large databases.
Bettina Grün +6 more
core +1 more source
Implementasi Data Mining Pada Perpustakaan Untuk Penentuan Tata Letak Buku Dalam Menarik Minat Baca
Techno.Com, 2022 Perpustakaan memiliki sistem informasi untuk mempermudah manajemen sirkulasi buku. Sistem informasi biasanya hanya menghasilkan laporan harian, mingguan atau bahkan bulanan saja.
Adie Wahyudi Oktavia Gama +2 more
doaj +1 more source
Efficient mining of discriminative itemsets [PDF]
Proceedings of the International Conference on Web Intelligence, 2017 Discriminative itemsets can be more useful than frequent itemsets as the former identifies the frequent itemsets in one dataset with much higher frequencies than the same itemsets in other datasets. The discriminative itemsets can distinguish the target dataset from all others. The discriminative itemsets are a small subset of frequent itemsets.
Majid Seyfi +3 more
openaire +2 more sources
DMA: Matrix Based Dynamic Itemset Mining Algorithm
, 2013 Updates on an operational database bring forth the challenge of keeping the frequent itemsets up-to-date without re-running the itemset mining algorithms. Studies on dynamic itemset mining, which is the solution to such an update problem, have to address
Ergenc, Belgin +2 more
core +3 more sources
A Reinduction-Based Approach for Efficient High Utility Itemset Mining from Incremental Datasets
Data Science and Engineering, 2023 High utility itemset mining is a crucial research area that focuses on identifying combinations of itemsets from databases that possess a utility value higher than a user-specified threshold.
Pushp Sra, Satish Chand
doaj +1 more source
EAHUIM: Enhanced Absolute High Utility Itemset Miner for Big Data
International Journal of Information Management Data Insights, 2022 High utility itemset mining (HUIM) is a data mining technique that identifies the itemsets with utility levels exceeding a pre-determined threshold. The factor utility is described as the combination of magnitude and element of significance for an item ...
Vandna Dahiya, Sandeep Dalal
doaj +1 more source
Time Aware Mining of Itemsets [PDF]
2008 15th International Symposium on Temporal Representation and Reasoning, 2008 Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs. However, those databases are usually considered as a whole and hence, itemsets are extracted over the entire set of records. Our claim is that possible periods, hidden within
Saleh, Bashar, Masseglia, Florent
openaire +2 more sources
JUTI: Jurnal Ilmiah Teknologi Informasi, 2002 Data transaksi tiruan yang menyerupai transaksi nyata pada lingkungan ritel dibutuhkan dalam pengetesan teknik data mining untuk pencarian pola asosiasi dan pola sekuensial dari basis data berskala besar.
Arif Djunaidy +2 more
doaj +1 more source
Constraint programming for itemset mining [PDF]
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining, 2008 The relationship between constraint-based mining and constraint programming is explored by showing how the typical constraints used in pattern mining can be formulated for use in constraint programming environments. The resulting framework is surprisingly flexible and allows us to combine a wide range of mining constraints in different ways.
De Raedt, Luc +3 more
openaire +3 more sources
Hybrid Recommendation System Memanfaatkan Penggalian Frequent Itemset dan Perbandingan Keyword
IJCCS (Indonesian Journal of Computing and Cybernetics Systems), 2015 Abstrak Recommendation system sering dibangun dengan memanfaatkan data peringkat item dan data identitas pengguna. Data peringkat item merupakan data yang langka pada sistem yang baru dibangun.
Wayan Gede Suka Parwita, Edi Winarko
doaj +1 more source