Results 21 to 30 of about 43,860 (295)
Discovering Exclusive Patterns in Frequent Sequences [PDF]
, 2010 This paper presents a new concept for pattern discovery in frequent sequences with potentially interesting applications. Based on data mining, the approach aims to discover exclusive sequential patterns (ESP) by checking the relative exclusion of ...
Weiru Chen +5 more
core +1 more source
A new FP-growth based on Hash and merging techniques
上海师范大学学报. 自然科学版, 2018 In this paper,we improve frequent pattern growth(FP-Growth) algorithm,we replace the header table with Hash-header table.By merging the same frequency nodes in frequent pattern tree(FP-Tree),we compress the scale of the tree.The experimental results show
He Qing, Lu Liming
doaj +1 more source
International Journal of Information Management Data Insights, 2022 Association rule mining has gained much popularity in facilitating disease diagnosis and the healthcare industry's decision-making process. The cases of Drug Resistance Tuberculosis (DR-TB) have substantially increased in recent times and the factors ...
Nkiruka Bridget Odu +3 more
doaj +1 more source
, 2021 The rapid growth of pet products, especially in Indonesia, makes the business competition in this field more even strict. In these conditions, a good data processing technique is needed, one of them is called the data mining technique. The algorithm used
Herwanto, Herwanto +2 more
core +2 more sources
Frequent Pattern-growth Algorithm on Multi-core CPU and GPU Processors
Journal of computing and information technology, 2014 Discovering association rules that identify relationships among sets of items is an important problem in data mining. It’s a two steps process, the first step finds all frequent itemsets and the second one constructs association rules from these frequent sets.
Khedija Arour, Amani Belkahla
openaire +4 more sources
Optimizing Inventory with Frequent Pattern Growth Algorithm for Small and Medium Enterprises
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer, 2023 The success of a business heavily relies on its ability to compete and adapt to the ever-changing market dynamics, especially in the fiercely competitive retail sector. Amidst intensifying competition, retail business owners must strategically manage product placement and inventory to enhance customer service and meet consumer demand, considering the ...
Suprihatin Suprihatin +3 more
openaire +1 more source
IEEE Access, 2023 In the current internet era, where mobile devices are ubiquitous and often hold sensitive personal and corporate data, Android malware analysis is crucial to protect against the increasing sophistication and prevalence of mobile-based cyberattacks.
Abhinandan Banik, Jyoti Prakash Singh
doaj +1 more source
IEEE Access, 2020 Weighted Frequent Itemset (WFI) mining is an important model in data mining. It aims to discover all itemsets whose weighted sum in a transactional database is no less than the user-specified threshold value.
R. Uday Kiran +5 more
doaj +1 more source
IEEE Access, 2020 Association rules can detect the association pattern between POIs (point of interest) and serve the application of indoor location. In this paper, a new index, tuple-relation, is defined, which reflects the association strength between POI sets in indoor
Naixia Mou +3 more
doaj +1 more source
Business and Finance Journal, 2023 The retail industry continues to grow and develop in Indonesia. The retail sector as a provider of goods used in everyday life has long started digital transformation in its business.
Rina Wahyuningsih +2 more
doaj +1 more source