1# Library to Find Best eBook for Read
Author : Fabrice Guillet
Release : 2007-01-08
Genre : Mathematics
Kind : eBook
Book Rating : 116/5 ( reviews)
Book Synopsis Quality Measures in Data Mining by : Fabrice Guillet
Download or read book Quality Measures in Data Mining written by Fabrice Guillet. This book was released on 2007-01-08. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent advances in quality measures in data mining.
Author : Laura Sebastian-Coleman
Release : 2012-12-31
Genre : Computers
Kind : eBook
Book Rating : 541/5 ( reviews)
Book Synopsis Measuring Data Quality for Ongoing Improvement by : Laura Sebastian-Coleman
Download or read book Measuring Data Quality for Ongoing Improvement written by Laura Sebastian-Coleman. This book was released on 2012-12-31. Available in PDF, EPUB and Kindle. Book excerpt: The Data Quality Assessment Framework shows you how to measure and monitor data quality, ensuring quality over time. You’ll start with general concepts of measurement and work your way through a detailed framework of more than three dozen measurement types related to five objective dimensions of quality: completeness, timeliness, consistency, validity, and integrity. Ongoing measurement, rather than one time activities will help your organization reach a new level of data quality. This plain-language approach to measuring data can be understood by both business and IT and provides practical guidance on how to apply the DQAF within any organization enabling you to prioritize measurements and effectively report on results. Strategies for using data measurement to govern and improve the quality of data and guidelines for applying the framework within a data asset are included. You’ll come away able to prioritize which measurement types to implement, knowing where to place them in a data flow and how frequently to measure. Common conceptual models for defining and storing of data quality results for purposes of trend analysis are also included as well as generic business requirements for ongoing measuring and monitoring including calculations and comparisons that make the measurements meaningful and help understand trends and detect anomalies. Demonstrates how to leverage a technology independent data quality measurement framework for your specific business priorities and data quality challenges Enables discussions between business and IT with a non-technical vocabulary for data quality measurement Describes how to measure data quality on an ongoing basis with generic measurement types that can be applied to any situation
Author : Michalis Vazirgiannis
Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 31X/5 ( reviews)
Book Synopsis Uncertainty Handling and Quality Assessment in Data Mining by : Michalis Vazirgiannis
Download or read book Uncertainty Handling and Quality Assessment in Data Mining written by Michalis Vazirgiannis. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: The recent explosive growth of our ability to generate and store data has created a need for new, scalable and efficient, tools for data analysis. The main focus of the discipline of knowledge discovery in databases is to address this need. Knowledge discovery in databases is the fusion of many areas that are concerned with different aspects of data handling and data analysis, including databases, machine learning, statistics, and algorithms. Each of these areas addresses a different part of the problem, and places different emphasis on different requirements. For example, database techniques are designed to efficiently handle relatively simple queries on large amounts of data stored in external (disk) storage. Machine learning techniques typically consider smaller data sets, and the emphasis is on the accuracy ofa relatively complicated analysis task such as classification. The analysis of large data sets requires the design of new tools that not only combine and generalize techniques from different areas, but also require the design and development ofaltogether new scalable techniques.
Author : Philippe Lenca
Release : 2009
Genre :
Kind : eBook
Book Rating : 233/5 ( reviews)
Book Synopsis Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models, QIMIE'09 by : Philippe Lenca
Download or read book Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models, QIMIE'09 written by Philippe Lenca. This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt:
Author : David Loshin
Release : 2010-11-22
Genre : Computers
Kind : eBook
Book Rating : 349/5 ( reviews)
Book Synopsis The Practitioner's Guide to Data Quality Improvement by : David Loshin
Download or read book The Practitioner's Guide to Data Quality Improvement written by David Loshin. This book was released on 2010-11-22. Available in PDF, EPUB and Kindle. Book excerpt: The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. It shares the fundamentals for understanding the impacts of poor data quality, and guides practitioners and managers alike in socializing, gaining sponsorship for, planning, and establishing a data quality program. It demonstrates how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. It includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning. This book is recommended for data management practitioners, including database analysts, information analysts, data administrators, data architects, enterprise architects, data warehouse engineers, and systems analysts, and their managers. Offers a comprehensive look at data quality for business and IT, encompassing people, process, and technology. Shows how to institute and run a data quality program, from first thoughts and justifications to maintenance and ongoing metrics. Includes an in-depth look at the use of data quality tools, including business case templates, and tools for analysis, reporting, and strategic planning.
