Algorithms for Constructing Computably Enumerable Sets

The authors, all leaders in the data quality field for many years, discuss how to make the economic case for data quality and the importance of getting an organization’s leaders on board. They outline different approaches for assessing data, both subjectively (by users) and objectively (using sampling and other techniques). They describe real problems and solutions, including efforts to find the root causes of data quality problems at a healthcare organization and data quality initiatives taken by a large teaching hospital. They address setting company policy on data quality and, finally, they consider future challenges on the journey to data quality.

Each major topic is organised into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms.

This program will provide a better teaching and learning experience—for you and your students. Here’s how:

• Improve Results with MyFinanceLab: MyFinanceLab delivers proven results in helping students succeed and provides engaging experiences that personalize learning.
• Guide Students with a Proven Learning Goal System: Integrating pedagogy with concepts and practical applications, this system presents the material students need to make effective financial decisions in a competitive business environment.
• Provide Real, Hands-on Examples and Connections: Personal finance connections, international considerations, and Excel® spreadsheet practice help students identify and apply concepts in their daily lives.

This edition includes more of a focus on the business applications of the concepts. Emphasis has been placed on securing corporate information systems, rather than just hosts in general. Keep Your Course Current and Relevant: New examples, exercises, and research findings appear throughout the text.

In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways. Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data. From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists pinpoint the most promising paths to take in their approach.