What question did this study set out to answer?

The aim is to emphasize the importance of data preparation and highlight advancements in the field.

May 1, 2003

Data preparation for data mining

Key Points

The aim is to emphasize the importance of data preparation and highlight advancements in the field.
Reviewed various data sources and the importance of transforming low-quality information.
Discussed research achievements related to data preparation techniques.
Proposed future research directions for improved data cleaning methods.
Established that effective data preparation is crucial for high-profit data analysis.
Identified key achievements that enhance data cleaning processes.
Outlined potential areas for future research in data preparation.

Abstract

Data preparation is a fundamental stage of data analysis. While a lot of low-quality information is available in various data sources and on the Web, many organizations or companies are interested in how to transform the data into cleaned forms which can be used for high-profit purposes. This goal generates an urgent need for data analysis aimed at cleaning the raw data. In this paper, we first show the importance of data preparation in data analysis, then introduce some research achievements in the area of data preparation. Finally, we suggest some future directions of research and development

اسأل الذكاء الاصطناعي

Bookmark

Cite This Study

Zhang et al. (Thu,) studied this question.

synapsesocial.com/papers/6a0ab76053fc0b85715ceb2f https://doi.org/https://doi.org/10.1080/713827180

اسأل الذكاء الاصطناعي

Bookmark