Quality Measures In Data Mining
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Quality Measures In Data Mining
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Author : Fabrice Guillet
language : en
Publisher: Springer
Release Date : 2007-01-17
Quality Measures In Data Mining written by Fabrice Guillet and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-17 with Technology & Engineering categories.
This book presents recent advances in quality measures in data mining.
Quality Measures In Data Mining
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Author : Fabrice Guillet
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-01-08
Quality Measures In Data Mining written by Fabrice Guillet and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-08 with Mathematics categories.
This book presents recent advances in quality measures in data mining.
Measuring Data Quality For Ongoing Improvement
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Author : Laura Sebastian-Coleman
language : en
Publisher: Newnes
Release Date : 2012-12-31
Measuring Data Quality For Ongoing Improvement written by Laura Sebastian-Coleman and has been published by Newnes this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-31 with Computers categories.
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
The Practitioner S Guide To Data Quality Improvement
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Author : David Loshin
language : en
Publisher: Elsevier
Release Date : 2010-11-22
The Practitioner S Guide To Data Quality Improvement written by David Loshin and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-22 with Computers categories.
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.
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Author :
language : en
Publisher: IOS Press
Release Date :
written by and has been published by IOS Press this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Symbolic And Quantitative Approaches To Reasoning With Uncertainty
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Author : Khaled Mellouli
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-21
Symbolic And Quantitative Approaches To Reasoning With Uncertainty written by Khaled Mellouli and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-21 with Computers categories.
This book constitutes the refereed proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2007, held in Hammammet, Tunisia, Oktober 31 - November 2, 2007. The 78 revised full papers presented together with 3 invited papers were carefully reviewed and selected from over hundret submissions for inclusion in the book. The papers are organized in topical sections on Bayesian networks, graphical models, learning causal networks, planning, causality and independence, preference modelling and decision, argumentation systems, inconsistency handling, belief revision and merging, belief functions, fuzzy models, many-valued logical systems, uncertainty logics, probabilistic reasoning, reasoning models under uncertainty, uncertainty measures, probabilistic classifiers, classification and clustering, and industrial applications.
Algorithmic Aspects In Information And Management
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Author : Rudolf Fleischer
language : en
Publisher: Springer
Release Date : 2008-06-17
Algorithmic Aspects In Information And Management written by Rudolf Fleischer and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-06-17 with Computers categories.
This book constitutes the refereed proceedings of the 4th International Conference on Algorithmic Aspects in Information and Management, AAIM 2008, held in Shanghai, China, in June 2008. The 30 revised full papers presented together with abstracts of 2 invited talks were carefully reviewed and selected from 53 submissions. The papers cover original algorithmic research on immediate applications and/or fundamental problems pertinent to information management and management science. Topics addressed are: approximation algorithms, geometric data management, biological data management, graph algorithms, computational finance, mechanism design, computational game theory, network optimization, data structures, operations research, discrete optimization, online algorithms, FPT algorithms, and scheduling algorithms.
Community Quality Of Life Indicators
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Author : M. Joseph Sirgy
language : en
Publisher: Springer Nature
Release Date : 2022-08-30
Community Quality Of Life Indicators written by M. Joseph Sirgy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-30 with Social Science categories.
This training book is designed to help professionals enhance their knowledge of community quality-of-life indicators, and to develop viable community projects. Chapter 1 describes the theoretical concepts that guide the formulation of community indicator projects. Chapter 2 creates a sample community indicator project as a template of the entire process. Chapter 3 describes the planning process: how to identify sponsors, secure funding, develop an organizational structure, select a quality-of-life model, select indicators, and so on. Chapter 4 focuses on data collection. Finally, Chapter 5 describes efforts related to dissemination and promotion of community indicators projects. Written by a stalwart in the field of quality-of-life research, this book provides the tools of sound community project planning for quality-of-life researchers, social workers, social marketers, community research organizations, and policy-makers.
Advances In Artificial Intelligence Iberamia 2004
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Author : Christian Lemaitre
language : en
Publisher: Springer
Release Date : 2004-11-03
Advances In Artificial Intelligence Iberamia 2004 written by Christian Lemaitre and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-11-03 with Computers categories.
This book constitutes the refereed proceedings of the 9th Ibero-American Conference on Artificial Intelligence, IBERAMIA 2004, held in Puebla, Mexico in November 2004. The 97 revised full papers presented were carefully reviewed and selected from 304 submissions. The papers are organized in topical sections on distributed AI and multi-agent systems, knowledge engineering and case-based reasoning, planning and scheduling, machine learning and knowledge acquisition, natural language processing, knowledge representation and reasoning, knowledge discovery and data mining, robotics, computer vision, uncertainty and fuzzy systems, genetic algorithms and neural networks, AI in education, and miscellaneous topics.
Quality Aspects In Spatial Data Mining
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Author : Alfred Stein
language : en
Publisher: CRC Press
Release Date : 2009
Quality Aspects In Spatial Data Mining written by Alfred Stein and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with Business & Economics categories.
In this cohesive collection of peer-reviewed chapters, field authorities present the latest field advancements and cover essential areas such as data acquisition, geoinformation theory, spatial statistics, and dissemination. Each chapter opens with an editorial preview of each topic from a conceptual, applied, and methodological point of view, making it easier for researchers to judge which information is most beneficial to their work. Under the editorial guidance of internationally respected geoinformatics experts, the volume addresses quality aspects in the entire spatial data mining process, from data acquisition to end user.