Download Data Quality by Yang W. Lee, Leo L. Pipino, James D. Funk, Richard Y. Wang PDF

By Yang W. Lee, Leo L. Pipino, James D. Funk, Richard Y. Wang

Facts caliber offers an exposé of analysis and perform within the info caliber box for technically orientated readers. it really is in keeping with the examine carried out on the MIT overall facts caliber administration (TDQM) application and paintings from different prime examine associations. This publication is meant essentially for researchers, practitioners, educators and graduate scholars within the fields of laptop technological know-how, info know-how, and different interdisciplinary parts. It varieties a theoretical origin that's either rigorous and correct for facing complex matters regarding facts caliber. Written with the target to supply an summary of the cumulated examine effects from the MIT TDQM examine viewpoint because it pertains to database study, this booklet is a superb creation to Ph.D. who desire to extra pursue their study within the facts caliber zone. it's also a very good theoretical advent to IT pros who desire to achieve perception into theoretical leads to the technically-oriented info caliber zone, and follow a number of the key thoughts to their perform.

Show description

Read or Download Data Quality PDF

Similar data modeling & design books

Modeling Reality: How Computers Mirror Life

The bookModeling truth covers quite a lot of interesting matters, obtainable to someone who desires to find out about using machine modeling to resolve a various diversity of difficulties, yet who doesn't own a really good education in arithmetic or desktop technology. the fabric provided is pitched on the point of high-school graduates, although it covers a few complex themes (cellular automata, Shannon's degree of data, deterministic chaos, fractals, video game idea, neural networks, genetic algorithms, and Turing machines).

Data Structure Programming: With the Standard Template Library in C++

As soon as programmers have grasped the fundamentals of object-oriented programming and C++, crucial instrument that they have got at their disposal is the traditional Template Library (STL). this gives them with a library of re-usable items and conventional information constructions. It has lately been authorized by way of the C++ criteria Committee.

Predictive Analytics with Microsoft Azure Machine Learning, 2nd Edition

Predictive Analytics with Microsoft Azure desktop studying, moment variation is a realistic educational creation to the sphere of information technology and computer studying, with a spotlight on development and deploying predictive types. The booklet offers a radical assessment of the Microsoft Azure laptop studying provider published for normal availability on February 18th, 2015 with sensible counsel for development recommenders, propensity versions, and churn and predictive upkeep versions.


Metaheuristics express fascinating homes like simplicity, effortless parallelizability, and prepared applicability to varieties of optimization difficulties. After a finished creation to the sector, the contributed chapters during this booklet comprise causes of the most metaheuristics options, together with simulated annealing, tabu seek, evolutionary algorithms, man made ants, and particle swarms, through chapters that exhibit their functions to difficulties akin to multiobjective optimization, logistics, motor vehicle routing, and air site visitors administration.

Extra resources for Data Quality

Sample text

To achieve dataquality-by-design, it would be useful to incorporate data quality attributes at the conceptual design stage of a database application. Conventional conceptual data models and their corresponding design methodologies, however, have been developed to capture entities, relationships, attributes, and other advanced concepts such as is-a and component-of relationships. Data quality is not explicitly recognized. The task of incorporating data quality into the design of a database application is left to the designer.

Application quality requirements and data quality requirements can be identified in a similar manner; that is, by the de- 40 Extending the ER Model to Represent Data Quality Requirements Chapter 3 signer working with the user to elicit the requirements and possibly suggesting some quality requirements based upon the designer's experience with similar or relatedapplicationdomains. Wang and Strong [12] 0provide a framework that categorizes data quality into four main categories: 1) intrinsic data quality (believability, accuracy, objectivity, reputation), 2) contextual data quality (value-added, relevancy, timeliness, completeness, appropriate amount ofdata), 3), representation data quality (interpretability, ease of understanding, representational consistency, concise representation), and 4) accessibility data quality (accessibility, access security).

Projection Projection is a unary operation that selects a vertical subset of a quality relation based on the set of attributes specified in the Projection operation. The result includes the projected quality relation and the corresponding quality indicator relations that are associated with the set of attributes specified in the Projection operation. a =m t1•a))} Union In this operation, the two operand quality relations must be QI-Compatible. The result includes (1) tuples from both qr and qs after elimination of duplicates, and (2) the corresponding quality indicator relations that are associated with the resulting tuples.

Download PDF sample

Rated 4.38 of 5 – based on 14 votes