Skip to main content

and
  1. No Access

    Chapter

    Introduction

    In recent years, with the development of the information age, the amount of data has grown dramatically. At the same time, dirty data have already existed in various types of databases. Due to the negative imp...

    Zhixin Qi, Hongzhi Wang, Zejiao Dong in Dirty Data Processing for Machine Learning (2024)

  2. No Access

    Chapter

    Dirty Data Impacts on Regression Models

    Due to the negative influence of dirty data on the accuracy of regression models, the relation between the data quality and model results is able to be used in the selection of proper regression models and dir...

    Zhixin Qi, Hongzhi Wang, Zejiao Dong in Dirty Data Processing for Machine Learning (2024)

  3. No Access

    Book

  4. No Access

    Chapter

    Density-Based Clustering for Incomplete Data

    In real world, missing values exist in a lot of data sets and cause data incompleteness. However, traditional missing value imputation methods are not suitable for density-based clustering and affect the accur...

    Zhixin Qi, Hongzhi Wang, Zejiao Dong in Dirty Data Processing for Machine Learning (2024)

  5. No Access

    Chapter

    Cost-Sensitive Decision Tree Induction on Dirty Data

    As the rapid growth of data in our society, dirty data are increasingly common. In the process of cost-sensitive decision tree induction, dirty data in training data sets have negative impacts on the selection...

    Zhixin Qi, Hongzhi Wang, Zejiao Dong in Dirty Data Processing for Machine Learning (2024)

  6. No Access

    Chapter

    Impacts of Dirty Data on Classification and Clustering Models

    Since dirty data have negative influence on the accuracy of machine learning models, the relation between data quality and model results could be used in the selection of the proper model and data cleaning str...

    Zhixin Qi, Hongzhi Wang, Zejiao Dong in Dirty Data Processing for Machine Learning (2024)

  7. No Access

    Chapter

    Incomplete Data Classification with View-Based Decision Tree

    Missing values bring negative influence in data analyses and decrease the accuracy of machine learning models. Since traditional classification methods are only able to be adopted on complete data sets, this c...

    Zhixin Qi, Hongzhi Wang, Zejiao Dong in Dirty Data Processing for Machine Learning (2024)

  8. No Access

    Chapter

    Feature Selection on Inconsistent Data

    With the explosive growth of data size, inconsistent data appear more frequently. Due to inconsistent data detection and repairing in data preprocessing, feature selection approaches are lack of efficiency. To...

    Zhixin Qi, Hongzhi Wang, Zejiao Dong in Dirty Data Processing for Machine Learning (2024)

  9. No Access

    Article

    A novel design method for stone mastic asphalt (SMA) for airports in cold regions

    Thermal cracking has long been a major concern for airport bituminous pavements in cold regions since it is in close connection with the safe operation of aircraft. This study aims to develop a design method f...

    Jie Zhou, Zejiao Dong, Tongxu Wang, Cheng Cao, Jianjun Sun in Materials and Structures (2023)

  10. Article

    Open Access

    Analysis methodology and assessment indices of vulnerability for asphalt pavement in cold regions

    Asphalt pavement structures in cold regions, which suffer from complicated environmental and geological conditions, such as large temperature difference and frozen soil, are prone to cracking, rutting, and moi...

    Tongxu Wang, **anyong Ma, Huanyu Li in Journal of Infrastructure Preservation and… (2021)

  11. No Access

    Article

    Evaluation of Mixture Performance Recycled Asphalt Pavement Materials as Base Layer with or without Rejuvenator into the Asphalt

    The binder properties were determined in accordance with Chinese standard such as ductility test, which allowed to measure the distance in centimeters that a standard briquette of asphalt had been stretched be...

    Quirin Engelbert Ayeditan Alaye in Journal of Wuhan University of Technology-… (2020)

  12. No Access

    Chapter and Conference Paper

    Dynamic Response Monitoring and Analysis of In-Service Asphalt Pavement Based on FBG Measuring Technology

    This study aims to analyze the dynamic response characteristics of the serviced asphalt pavement subjected to the real random vehicle loads. Fiber Bragg Grating (FBG) sensors were embedded within four types of...

    **anyong Ma, Tongxu Wang, Zejiao Dong in Accelerated Pavement Testing to Transport … (2020)