Ergebnisse für: data cleaning
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* Written for practitioners of data mining, data cleaning and database management.
* Presents a technical treatment of data quality including process, metrics, tools and algorithms.
* Focuses on developing an evolving modeling strategy through an iterative data exploration loop and incorporation of ...
Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important business decisions. Errors in data tend to creep in for a variety of reasons. Some of these reasons include errors during input data collection and errors while merg...
Data warehouses consolidate various activities of a business and often form the backbone for generating reports that support important business decisions. Errors in data tend to creep in for a variety of reasons. Some of these reasons include errors during input data collection and errors while merg...
* Written for practitioners of data mining, data cleaning anddatabase management.
* Presents a technical treatment of data quality includingprocess, metrics, tools and algorithms.
* Focuses on developing an evolving modeling strategy through aniterative data exploration loop and incorporation of dom...
The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R
Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleani...
The Springer Handbook of Data Engineering is a comprehensive reference on the principles, technologies, and practices for designing, building, and deploying modern data infrastructures. It addresses the engineering foundations required to transform massive, heterogeneous data into actionable knowled...
This book focuses on quantitative survey methodology, data collection and cleaning methods. Providing starting tools for using and analyzing a file once a survey has been conducted, it addresses fields as diverse as advanced weighting, editing, and imputation, which are not well-covered in correspon...
The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R
Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleani...
The only how-to guide offering a unified, systemic approach to acquiring, cleaning, and managing data in R
Every experienced practitioner knows that preparing data for modeling is a painstaking, time-consuming process. Adding to the difficulty is that most modelers learn the steps involved in cleani...
In the food industry, processing plants undergo daily cleaning, using significant water and chemicals, often inefficiently due to unoptimized procedures. This thesis focuses on developing a classification tool and models to optimize cleaning processes through simulations. Soils are classified by the...
This coveted reference book for millers and milling has been completely revised and brought up-to-date with modern technology.
Part 1 of this edition contains the most current machines for the cleaning, reconditioning and the milling of grain.
Chapter A deals with sieve and air separation aswell ...
Increasing renewable energy prompts the need for demand response (DR) in the industrial sector. Especially aqueous parts cleaning machines have a high DR potential, but there are limited strategies for implementing DR on real production machines. This work introduces the demand response automation a...
"Cleaning Up Your Act: Statistical Methods for Detecting Outliers in Regression" dives into the world of data analysis, specifically focusing on a crucial step: identifying outliers in regression models. Outliers are data points that fall far outside the expected pattern in your regression analysis....
This book constitutes the refereed proceedings of the 17th Australasian Conference on Data Mining, AusDM 2019, held in Adelaide, SA, Australia, in December 2019.The 20 revised full papers presented were carefully reviewed and selected from 56 submissions. The papers are organized in sections on rese...
This book constitutes the proceedings of the 20th International Conference on Data Science, ICDATA 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in Las Vegas, USA, during July 22 to July 25, 2024.
This proceedings book includes 39 pape...
This book constitutes the proceedings of the 20th International Conference on Data Science, ICDATA 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in Las Vegas, USA, during July 22 to July 25, 2024.
This proceedings book includes 39 pape...
This book constitutes the refereed proceedings of the 17th Australasian Conference on Data Mining, AusDM 2019, held in Adelaide, SA, Australia, in December 2019.The 20 revised full papers presented were carefully reviewed and selected from 56 submissions. The papers are organized in sections on rese...
* Cowritten by Ralph Kimball, the world's leading data warehousing authority, whose previous books have sold more than 150,000 copies
* Delivers real-world solutions for the most time- and labor-intensive portion of data warehousing-data staging, or the extract, transform, load (ETL) process
* Delin...
* Cowritten by Ralph Kimball, the world's leading datawarehousing authority, whose previous books have sold more than150,000 copies
* Delivers real-world solutions for the most time- andlabor-intensive portion of data warehousing-data staging, or theextract, transform, load (ETL) process
* Delineate...