By Carlo Batini
Poor info caliber can heavily prevent or harm the potency and effectiveness of corporations and companies. The starting to be expertise of such repercussions has ended in significant public projects just like the "Data caliber Act" within the united states and the "European 2003/98" directive of the ecu Parliament.
Batini and Scannapieco current a accomplished and systematic creation to the broad set of matters with regards to info caliber. they begin with an in depth description of alternative information caliber dimensions, like accuracy, completeness, and consistency, and their significance in several forms of info, like federated info, internet facts, or time-dependent information, and in several information different types categorised based on frequency of switch, like solid, long term, and often altering info. The book's huge description of concepts and methodologies from center info caliber learn in addition to from comparable fields like facts mining, likelihood thought, statistical facts research, and laptop studying provides a good assessment of the present cutting-edge. The presentation is done by means of a quick description and demanding comparability of instruments and sensible methodologies, in order to support readers to unravel their very own caliber problems.
This booklet is a perfect mixture of the steadiness of theoretical foundations and the applicability of useful techniques. it's preferrred for everybody – researchers, scholars, or pros – drawn to a accomplished assessment of information caliber concerns. furthermore, it is going to function the root for an introductory direction or for self-study in this topic.
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Additional info for Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications)
We will discuss some statistical methods in Chapters 4 and 5. 2. Knowledge representation (see  and  for insightful introductions to the area) is the study of how knowledge about an application domain can be represented, and what kinds of reasoning can be done with that knowledge (this is called knowledge reasoning). Knowledge about an application domain may be represented procedurally in form of program code, or implicitly as patterns of activation in a neural network. Alternatively, the area of knowledge representation assumes an explicit and declarative representation, in terms of a knowledge base, consisting of logical formulas or rules expressed in a representation language.
As an example, in , a trust model for information peers is proposed, in which a trust level is associated to a certain peer for each typology of data provided to the community. The interested reader can ﬁnd more details on trust issues in peer-to-peer systems in Chapter 9. 6 Approaches to the Deﬁnition of Data Quality Dimensions In this section we focus on the general proposals for dimensions by illustrating some of them. There are three main approaches adopted for proposing comprehensive sets of the dimension deﬁnitions, namely, theoretical, empirical, and intuitive.
The biologist must perform a time-consuming manual search for all the sources that may provide the function of the interested gene. 5 Main Research Issues and Application Domains in Data Quality 15 is also dependent on the user having personal knowledge about which sites must be queried; 2. the biologist has no way of assessing the trustworthiness of a result; 3. in Step 2, the biologist has no way of evaluating the quality of the results provided by diﬀerent sites. 4. in Step 3, a new web search must be performed which again can be very time consuming.
Data Quality: Concepts, Methodologies and Techniques (Data-Centric Systems and Applications) by Carlo Batini
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