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: 789 CZK
Availability: InStock

Autor: Sarita Simaiya

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP LAMBERT Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 8-11 dnů

789 Kč

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

Informace o knize

Autor

Sarita Simaiya

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2021

Stránek

EAN

9786204716381

ISBN

6204716387

Enbook ID

38407780

Vydavatel

LAP LAMBERT Academic Publishing

Hmotnost

102

Rozměry

150 x 220 x 3

Kompletní popis

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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A Knowledge Discovery based on Synaptic data discovery Model

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