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portada Enhanced Machine Learning Algorithm: Big Data Perspective
Type
Physical Book
Author
Publisher
Language
English
Pages
124
Format
Paperback
Dimensions
22.9 x 15.2 x 0.7 cm
Weight
0.19 kg.
ISBN13
9786202565929
Categories

Enhanced Machine Learning Algorithm: Big Data Perspective

Bright Keswani (Author) · Prity Vijay (Author) · LAP Lambert Academic Publishing · Paperback

Enhanced Machine Learning Algorithm: Big Data Perspective - Vijay, Prity ; Keswani, Bright

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Synopsis "Enhanced Machine Learning Algorithm: Big Data Perspective"

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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