Data analytics and AI
This glossary contains definitions related to customer data analytics, predictive analytics, data visualization and operational business intelligence. Some definitions explain the meaning of words used to Hadoop and other software tools used in big data analytics. Other definitions are related to the strategies that business intelligence professionals, data scientists, statisticians and data analysts use to make data-driven decisions.
Algorithms
Terms related to procedures or formulas for solving a problem by conducting a sequence of specified actions. In computing, algorithms in the form of mathematical instructions play an important part in search, artificial intelligence (AI) and machine learning.
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What is fuzzy logic?
Fuzzy logic is an approach to computing based on degrees of truth rather than the usual true or false -- 1 or 0 -- Boolean logic on which the modern computer is based.
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What is prediction error?
A prediction error is the failure of a model of a system to accurately forecast outcomes.
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What is HMAC (Hash-Based Message Authentication Code)?
Hash-based message authentication code (HMAC) is a message encryption method that uses a cryptographic key with a hash function.
Artificial intelligence
Terms related to artificial intelligence (AI), including definitions about machine learning and words and phrases about training data, algorithms, natural language processing, neural networks and automation.
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What is fuzzy logic?
Fuzzy logic is an approach to computing based on degrees of truth rather than the usual true or false -- 1 or 0 -- Boolean logic on which the modern computer is based.
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What is the artificial intelligence of things (AIoT)?
The artificial intelligence of things (AIoT) is the combination of AI technologies and the internet of things (IoT) infrastructure.
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What are oversampling and undersampling?
Oversampling and undersampling are techniques used in data analytics and statistics to modify unequal data classes to create balanced data sets.
Data and data management
Terms related to data, including definitions about data warehousing and words and phrases about data management.
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What is data quality and why is it important?
Data quality measures a data set's condition based on factors such as accuracy, completeness, consistency, timeliness, uniqueness and validity.
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What is clinical informatics?
Clinical informatics is a specialized field of study in healthcare that focuses on using information technology and data analytics to improve patient care and administrative workflows in clinical settings.
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What is a computer-assisted coding system (CACS)?
A computer-assisted coding system (CACS) is software that analyzes healthcare documents and automatically produces appropriate medical codes, like the International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM), ICD-10-CM and the American Medical Association's Current Procedural Terminology (CPT) for specific phrases and terms within the document.
Database management
Terms related to databases, including definitions about relational databases and words and phrases about database management.
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What is data quality and why is it important?
Data quality measures a data set's condition based on factors such as accuracy, completeness, consistency, timeliness, uniqueness and validity.
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What is PL/SQL (Procedural Language/Structured Query Language)?
In Oracle database management, PL/SQL is a procedural language extension to Structured Query Language (SQL).
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What is a distributed database?
A distributed database is a database that consists of two or more files located in different sites on the same or different networks.