A Knowledge Discovery based on Synaptic data discovery Model

Name: A Knowledge Discovery based on Synaptic data discovery Model
Brand: LAP LAMBERT Academic Publishing
SKU: 9786204716381
Price: 192.44 RON
Availability: InStock

Autor: Sarita Simaiya

Limbă:

Legare: Carte broșată

Editura: LAP LAMBERT Academic Publishing

Disponibilitate: În depozitul extern

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192.44 lei

Web Mining is an extraction of knowledge from web data. Several data get generated while working wit...

Informații despre carte

Autor

Sarita Simaiya

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2021

Pagini

EAN

9786204716381

ISBN

6204716387

Enbook ID

38407780

Editura

LAP LAMBERT Academic Publishing

Greutate

102

Dimensiuni

150 x 220 x 3

Descriere completă

Web Mining is an extraction of knowledge from web data. Several data get generated while working with web usage. Analyzing such data and finding the usable entity to provide a better user experience can be an advantage of algorithms. Thus a knowledge discovery and providing quick solutions to the input query can be performed. The previous author performs many approaches for data analysis, weight analysis, and data processing. TF-IDF, Semantic, FP growth algorithm, and such other techniques are used by previous research for knowledge analysis. In this research, an advance synaptic data discovery model for web data extraction and analysis is performed. The proposed algorithm works with the tree architecture-based discovery and enables finding the relevant terminology. Thus finding a better solution for the prediction and finding a better knowledge query output is performed. The experiment result shows the effectiveness of the proposed approach over the traditional algorithm.

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