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Carte Enhanced Machine Learning Algorithm Bright Keswani

Enhanced Machine Learning Algorithm

Big Data Perspective

Autor: Bright Keswani
Limbă: engleză
Legare: Carte broșată
Editura: LAP LAMBERT Academic Publishing
Disponibilitate: În depozitul extern
Expediem în 5-8 zile
264.03 lei
We are living in a big data world where enormous data as a flood is brimming from all around to spaw...

Informații despre carte

Autor
Bright Keswani
Limbă
engleză
Legare
Carte - Carte broșată
Publicat
2020
Pagini
124
EAN
9786202565929
ISBN
6202565926
Enbook ID
32986973
Editura
LAP LAMBERT Academic Publishing
Greutate
191
Dimensiuni
152 x 229 x 7

Descriere completă

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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