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Price distribution over 57 days • 1 price levels

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Most common price: £59 (57 days, 100.0%)

Price range: £59 - £59

Price levels: 1 different prices over 57 days

Description

The main goals of our research is to apply mathematical methods to cover anomalies and discrepancies in texts. English and Arabic texts were analyzed from many statistical characteristics point of view. We covered some basic statistical differences between lengths of used words in both languages and the results were applied in some heuristics for measurements of text parts dissimilarities. In the research we prepared three methods for the analysis of texts: (1) Element n-gram profiles method: The method is based on similarity/dissimilarity occurrences of n-grams in text parts in a comparison to a full text. (2) Histogram method: Histograms of text sequences are analyzed from a cluster point of view. If a cluster dispersion is not large, the text is probably written by the same author. If the cluster dispersion is large, the text is critical and it will be split in two or more parts and the same analysis will be done for the text parts. (3) Neural networks { Systems of Self-Organizing Maps: The systems were trained to input sequences and after the training they determine text parts with anomalies using a cumulative error and some complex analysis.

Product Specifications

Format: paperback
ASIN: 6202302712
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 05 January 2018
Listed Since: 30 January 2018

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Dissimilarities Detections in Arabic and English Texts: Using n-grams, Histograms and Self Organizing Maps

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Dissimilarities Detections in Arabic and English Texts: Using n-grams, Histograms and Self Organizing Maps

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

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