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Data Quality and its Staleness dimension

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Data Quality

Data Quality: The Accuracy Dimension is about assessing the quality of corporate data and improving its accuracy using the data profiling;

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Slate as Dimension Stone

dimension stone, the book describes the origin of slate and related geological phenomena. It thoroughly explains key data acquisition methods and;

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Data and Information Quality

This book provides a systematic and comparative description of the vast number of research issues related to the quality of data and;

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From Dimension-Free Matrix Theory to Cross-Dimensional Dynamic Systems

feature prominently across many disciplines, and through innovative applications its newly developed theory can revolutionize large data systems;

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Data Quality and its Impacts on Decision-Making

Christoph Samitsch investigates whether decision-making efficiency is being influenced by the quality of data and information. Results;

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Sufficient Dimension Reduction

readers. Uses real data sets available online to illustrate the usage and power of the described methods. Sufficient dimension;

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Sufficient Dimension Reduction

dimension reduction, statistical graphical models, functional data analysis, machine learning, estimating equations and quasilikelihood, and robust;

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Robust Quality: Powerful Integration of Data Science and Process Engineering

and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance;

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Meeting the Challenges of Data Quality Management

Meeting the Challenges of Data Quality Management outlines the foundational concepts of data quality management and its;

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Robust Quality

and its usage, data quality is becoming quite important. It is important to connect these two aspects of quality to ensure better performance;

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From Big Data To Smart Data

capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs;

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Rank-Based Methods for Shrinkage and Selection

Shrinkage and Selection: With Application to Machine Learning describes techniques to produce higher quality data analysis in shrinkage and subset;

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Enterprise Knowledge Management

, vendors, markets, and more. But with the rise in the quantity of information has come a corresponding decrease in its quality--a problem;

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Complex Networks

-based data gathering trees. Chapter Four explores fractal dimensions for networks by reviewing theory and computation, including: the box;

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The Data Asset

quality and data governance, but also for developing methodologies and processes that will enable your organization to better treat its data as a;

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Total Quality Management (TQM)

services and student satisfaction-an important dimension of Total Quality Management-provided in higher education institutions. A questionnaire;

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The Universal Refusal

much the refusal of the feminine dimension as such; it has more to do with rejecting its erotic and genital aspects, as well as its creation;

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Journey to Data Quality

A guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality;

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Managing Data Quality

Data is an increasingly important business asset and enabler for organisational activities. Data quality is a key aspect of data management;

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Uncertainty Modelling and Quality Control for Spatial Data

aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book;

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Uncertainty Modelling and Quality Control for Spatial Data

aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book;

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Multivariate Analysis Of Quality

Data analysis is a vital part of science today, and in assessing quality, multivariate analysis is often necessary in order to avoid loss;

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Practitioners Gde Data Quality Improveme

The Practitioner's Guide to Data Quality Improvement offers a comprehensive look at data quality for business and IT, encompassing;

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Journey to Data Quality

This is a guide for assessing an organization's data quality practice and a roadmap for implementing a viable data and information quality;

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Improving Data Warehouse and Business Information Quality

A comprehensive guide to quality improvement from the leading expert in information and data warehouse quality. Each year, companies lose;

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Sufficient Dimension Reduction for the Conditional Kth Moment

The scale and complexity of data sets have increased drastically in the light of development in modern technology. High-dimensional data;

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