Contacto
Como comprar
Entrega
Guia de compras
Mining Sequential Rules By Applying Sliding Window Constraint
Mining of Partially-Ordered Sequential Rules (POSR) By Applying the Sliding-Window Constraint
Inglês
69 b
Política de devolução de 30 dias
Os clientes também compraram
Sequential rule mining is used to extract important data in various application such as stock market analysis, e-commerce. It generally includes identifying sequential rules from given sequence database which will be common in multiple sequences. Partially Ordered Sequential rules (POSR) is a type of sequential rules in which the items in left and right side of the sequential rule does not need to be ordered. The existing approaches used for mining POSR include RuleGrowth Algorithm, TRuleGrowth Algorithm. But, these approaches either not use sliding window size constraint (RuleGrowth) or take more execution time even after using the sliding window size constraint (TRuleGrowth).This book presents a technique called M_TRuleGrowth which takes the sequence database as input and applies minimum support, minimum confidence, and window size constraints respectively to generate partially-ordered sequential rules. The experimental evaluation in terms of number of rules generated and execution time is conducted to compare the technique with existing approaches. It is found that the M_TRuleGrowth performs better in terms of execution time.
Sobre o livro
Inglês
Categorias
Ofereça este livro hoje
É fácil
1 Adicione ao carrinho e escolha Entregar como presente ao finalizar a compra 2 Receberá um vale 3 O livro chegará ao endereço do destinatárioTambém pode estar interessado em
/
Livro de capa dura
27.78
€
/
Capa mole
16.36
€
/
Capa mole
18.79
€
