피처엔지니어링

Data

[피처 엔지니어링/텍스트 마이닝]텍스트 표현 모델

1. 텍스트 마이닝 Text mining, also known as text data mining, is the process of transforming unstructured text into a structured format to identify meaningful patterns and new insights. By applying advanced analytical techniques, such as Naïve Bayes, Support Vector Machines (SVM), and other deep learning algorithms, companies are able to explore and discover hidden relationships within their unstructu..

Data

[피처 엔지니어링]피처 정규화

1. 피처 엔지니어링(Feature Engineering)이란? "Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms."[1] 피처 엔지니어링은 최초 데이터(raw data)를 데이터 마이닝 기법을 통해 피처로 만들어서 머신 러닝 알고리즘의 성능을 향상시키는 일련의 과정이다. "The purpose of a feature, other than being an attribute, would ..

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