A Knowledge Discovery based on Synaptic data discovery Model

Language: English

Published by LAP LAMBERT Academic Publishing Nov 2021, 2021

6204716387 / 9786204716381

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 56 pp. Englisch.

Seller Inventory # 9786204716381

Title
A Knowledge Discovery based on Synaptic data discovery Model
Author
Umesh Kumar Lilhore
Publisher
LAP LAMBERT Academic Publishing Nov 2021
Publication year
2021
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
6204716387
ISBN 13
9786204716381
Item weight
102 grams
Dimensions
220x150x4 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

Shipping rates from Germany to U.S.A.

Item5 to 15 business days5 to 15 business days
First itemUS$ 26.42US$ 26.42
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BuchWeltWeit Ludwig Meier e.K.

Germany