Deductive Research
A research approach that starts with a theory or hypothesis and uses data to test it, often moving from general to specific.
A research approach that starts with a theory or hypothesis and uses data to test it, often moving from general to specific.
A tree-like model of decisions and their possible consequences, used in data mining and machine learning for both classification and regression tasks.
A sorting algorithm that distributes elements into a number of buckets, sorts each bucket individually, and then combines the buckets to get the sorted list.
Mutually Exclusive, Collectively Exhaustive (MECE) is a problem-solving framework ensuring that categories are mutually exclusive and collectively exhaustive, avoiding overlaps and gaps.
Define, Measure, Analyze, Improve, and Control (DMAIC) is a data-driven improvement cycle used in Six Sigma.
Situation-Complication-Resolution (SCR) is a communication and problem-solving framework used to structure information clearly and logically.
A statistical method used to assess the generalizability of a model to unseen data, involving partitioning a dataset into subsets for training and validation.
Knowledge Organization System (KOS) refers to a structured framework for organizing, managing, and retrieving information within a specific domain or across multiple domains.
An approach to information architecture that starts with the details and builds up to a comprehensive structure.