Results 31 to 40 of about 2,350,350 (281)
Potentially Related Commodity Discovery Based on Link Prediction
The traditional method of related commodity discovery mainly focuses on direct co-occurrence association of commodities and ignores their indirect connection. Link prediction can estimate the likelihood of links between nodes and predict the existent yet
Xiaoji Wan +3 more
doaj +1 more source
Cross-selling models for telecommunication services
Cross-selling is a strategy of selling new products to a customer who has made other purchases earlier. Except for the obvious profit from extra products sold, it also increases the dependence of the customer on the vendor and therefore reduces churn ...
Szymon Jaroszewicz
doaj +1 more source
Abstract Background Sickle cell disease (SCD) is an autosomal recessive hemoglobinopathy affecting millions of individuals worldwide. The clinical expression and psychosocial burden of SCD vary widely across geographical, cultural, and healthcare system contexts, underscoring the need for setting‐specific approaches to assessment.
Desiré Fantasia +7 more
wiley +1 more source
Numerical association rule mining (NARM) is an extended version of association rule mining that determines association rules in numerical data items through distribution, discretization, and optimization methods.
Minakshi Kaushik +4 more
doaj +1 more source
: Aims: A high proportion of all patients with tuberculosis (TB) present with extrapulmonary TB (EPTB), including concurrent EPTB involving more than one extrapulmonary lesion site.
Wanli Kang +56 more
doaj +1 more source
Application of Association Rule Mining and Mining Sequential Patterns on Crm PT. Armada International Motor [PDF]
Keeping in touch with customers is a step that must be done by the company to increase customer loyalty. CRM is a set of processes to acquire, maintain and enhance the values for customer satisfaction for the continued growth of corporate profits. With
Setiyawati, N. (Nina)
core
Granular association rules for multi-valued data
Granular association rule is a new approach to reveal patterns hide in many-to-many relationships of relational databases. Different types of data such as nominal, numeric and multi-valued ones should be dealt with in the process of rule mining.
Min, Fan, Zhu, William
core +1 more source
ABSTRACT Neuroblastoma is the most common extracranial solid tumor in early childhood. Its clinical behavior is highly variable, ranging from spontaneous regression to fatal outcome despite intensive treatment. The International Society of Pediatric Oncology Europe Neuroblastoma Group (SIOPEN) Radiology and Nuclear Medicine Specialty Committees ...
Annemieke Littooij +11 more
wiley +1 more source
Association Mining in Database Machine [PDF]
Association rule is wildly used in most of the data mining technologies. Apriori algorithm is the fundamental association rule mining algorithm. FP-growth tree algorithm improves the performance by reduce the generation of the frequent item sets. Simplex
Jiao, Jindou
core +1 more source
Efficient Analysis of Pattern and Association Rule Mining Approaches
The process of data mining produces various patterns from a given data source. The most recognized data mining tasks are the process of discovering frequent itemsets, frequent sequential patterns, frequent sequential rules and frequent association rules.
Lazzez, Amor, Slimani, Thabet
core +1 more source

