IECT: A methodology for identifying critical products using purchase transactions

PY Hsu, CW Huang - Applied Soft Computing, 2020 - Elsevier
Identifying critical products and key customers to strengthen company performance is vitally
important in the digital transformation era. Critical products are the itemsets that are …

Performance comparison of association rule algorithms with SPMF on automotive industry data

M Nair, F Kayaalp - Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 2019 - dergipark.org.tr
By the recent developments about the information technologies, companies can store their
data faster and easier with lower costs. All transactions (sales, current card, invoicing, etc.) …

[PDF][PDF] R-Diffset vs. IR-Diffset: Comparison Analysis in Dense and Sparse Data

AJ Julaily, SZT Hassan, WAWA Bakar… - … Journal of Advanced …, 2023 - researchgate.net
The mining of concealed information from databases using Association Rule Mining seems
to be promising. The successful extraction of this information will give a hand to many areas …

Performance Comparisons of Association Rule Learning Algorithms on a Supermarket Data

MM Alawadh, AM Barnawi - World Conference on Information Systems …, 2023 - Springer
In today's business environment, sustaining growth and profitability is never a guarantee.
This concept of instability encourages business owners to seek new opportunities using …

[PDF][PDF] Data streams oriented outlier detection method: a fast minimal infrequent pattern mining.

ZY Zhou, DC Pi - Int. Arab J. Inf. Technol., 2021 - ccis2k.org
Outlier detection is a common method for analyzing data streams. In the existing outlier
detection methods, most of methods compute distance of points to solve certain specific …

[PDF][PDF] R-Diffset vs. IR-Diffset: Comparison Analysis in Dense and Sparse Data

JA Jusoh, SZT Hassan, WAWA Bakar - academia.edu
The mining of concealed information from databases using Association Rule Mining seems
to be promising. The successful extraction of this information will give a hand to many areas …

Fuzzy Soft Sets (FSSs) Distance and Similarity Measures

GS Thakur - NeuroQuantology, 2022 - search.proquest.com
In this paper, variety of new distance and similarity measures is proposed for Fuzzy Soft
Sets. The Fuzzy Soft Sets (FSSs) is a powerful mathematical tool for decision making …

FUZZY SOFT SET BASED RAIN FALL PATTERN MINING FROM NON-STATIONARY STREAM DATA

S Kumar, GS Thakur - NeuroQuantology, 2022 - search.proquest.com
This paper presents a Fuzzy Soft set based model for forecasting. Four districts of Madhya
Pradesh state viz. Bhopal, Gwalior, Indore and Jabalpur are selected for the rainfall …

Birliktelik kuralları algoritmalarının otomotiv sektörü verileri üzerinde spmf ve weka ile performans analizi

M Nair - acikbilim.yok.gov.tr
Veri Madenciliği (VM), herhangi bir veri kümesi üzerinde yer alan mevcut verilerinanaliz
edilerek anlamlı çıkarımlarda bulunulabilmesi veya gelecekte oluşabilecek verileriteknik …

[PDF][PDF] Fuzzy Soft Sets (Fsss) Distance And Similarity Measures

GS Thakur - Webology (ISSN: 1735-188X), 2021 - webology.org
In this paper, variety of new distance and similarity measures is proposed for Fuzzy Soft
Sets. The Fuzzy Soft Sets (FSSs) is a powerful mathematical tool for decision making …