Results 101 to 110 of about 846,186 (212)

Peringkasan Review Konsumen Restoran Menggunakan Weighted Frequent Itemset Mining [PDF]

, 2019
Review yang dilakukan konsumen terhadap restoran dapat bermanfaat bagi para calon konsumen atau para pemilik restoran untuk mengetahui pendapat orang lain mengenai restoran tersebut.
Yusron, Moh. Iqbal
core  

In-stream frequent itemset mining with output proportional memory footprint

, 2022
93104We propose an online partial counting algorithm based on statistical inference that approximates itemset frequencies from data streams. The space complexity of our algorithm is proportional to the number of frequent itemsets in the stream at any ...
Trabold, Daniel, Boley, Mario, Mock, Michael, Horvath, Tamas   +3 more
core  

Privacy-preserving Frequent Itemset Mining for Sparse and Dense Data [PDF]

, 2015
. Frequent itemset mining is a task that can in turn be used for other purposes such as associative rule mining. One problem is that the data may be sensitive, and its owner may refuse to give it for analysis in plaintext.
Alisa Pankova, Peeter Laud
core   +1 more source

The Duality of Frequent-Itemset Mining and Erasable-Itemset Mining

, 2019
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  

Support Estimation in Frequent Itemset Mining by Locality Sensitive Hashing

, 2019
S.156-160The main computational effort in generating all frequent itemsets in a transactional database is in the step of deciding whether an itemset is frequent, or not. We present a method for estimating itemset supports with two-sided error.
Horvath, Tamas, Pick, Annika, Wrobel, Stefan   +2 more
core   +1 more source

Partition-Based Approach to Processing Batches of Frequent Itemset Queries

, 2008
. We consider the problem of optimizing processing of batches of frequent itemset queries. The problem is a particular case of multiple-query optimization, where the goal is to minimize the total execution time of the set of queries.
Marek Wojciechowski, Przemyslaw Grudzinski, Maciej Zakrzewicz   +2 more
core  

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

Incremental Closed Frequent Itemsets Mining-Based Approach Using Maximal Candidates

IEEE Access
Incremental frequent itemset mining aims to efficiently update frequent itemsets without recalculating them from scratch, making it suitable for streaming data and real-time analytics.
Mohammed A. Al-Zeiadi, Basheer M. Al-Maqaleh   +1 more
doaj   +1 more source

APLIKASI DATA MINING MARKET BASKET ANALYSIS PADA TABEL DATA ABSENSI ELEKTRONIK UNTUK MENDETEKSI KECURANGAN ABSENSI (CHECK-LOCK) KARYAWAN DI PERUSAHAAN

Jurnal Informatika, 2007
Taking attendance from employees always becomes a problem for Human Resource Department (HRD) in many companies lately. Although there is an automatic check-lock machine, it still has a weakness.
Gregorius Satia Budhi, Felicia Soedjianto   +1 more
doaj  

Evaluating the Privacy Implications of Frequent Itemset Disclosure. [PDF]

ICT Syst Secur Priv Prot (2017), 2017
Serra E, Vaidya J, Akella H, Sharma A.
europepmc   +1 more source