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Enhanced Machine Learning Algorithm

Name: Enhanced Machine Learning Algorithm
Brand: LAP LAMBERT Academic Publishing
SKU: 9786202565929
Price: 1082 CZK
Availability: InStock

Big Data Perspective

Autor: Bright Keswani

Jazyk:

Vazba: Brožovaná

Vydavatel: LAP LAMBERT Academic Publishing

Dostupnost: Skladem u dodavatele

Odesíláme za 5-8 dnů

1 082 Kč

We are living in a big data world where enormous data as a flood is brimming from all around to spaw...

Informace o knize

Autor

Bright Keswani

Jazyk

Angličtina

Vazba

Kniha - Brožovaná

Vydáno

2020

Stránek

124

EAN

9786202565929

ISBN

6202565926

Enbook ID

32986973

Vydavatel

LAP LAMBERT Academic Publishing

Hmotnost

191

Rozměry

152 x 229 x 7

Kompletní popis

We are living in a big data world where enormous data as a flood is brimming from all around to spawn Data Ocean. These data are fascinating if handled appropriately or else it is nothing more than trash. An ordinary algorithm is not competent in dealing out this mammoth dataset, as they are programmed to work based on the instruction. At present machine learning and data mining is gaining esteem as it is consists of a wide range of robust algorithms, which is capable of dispensation big data. The main aspiration of this work is to recognize the performances hurdle of machine learning classification algorithm due to complexity added by imbalance dataset for training purpose. The main contribution of this work is to generate a hybridization pre-processing and resampling technique which will able to reduce the complexity due to an imbalance big datasets and thus enhances performances of ML classification algorithms during assembling a precise predictive model. The algorithm proposed in this book, Hybridization Preprocessing and Resampling Technique (HPRT) is an enhanced technique, designed to reduce the complexity of dataset.

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Enhanced Machine Learning Algorithm

Big Data Perspective

Informace o knize

Kompletní popis

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