Profiling (also known as behavior description) attempts to characterize the typical behavior of an individual, group, or population. An example profiling question would be: “What is the typical cell phone usage of this customer segment?”
Anissa Amandahas quoted2 months ago
Co-occurrence grouping (also known as frequent itemset mining, association rule discovery, and market-basket analysis) attempts to find associations between entities based on transactions involving them
Anissa Amandahas quoted2 months ago
Clustering attempts to group individuals in a population together by their similarity
Anissa Amandahas quoted2 months ago
Similarity matching attempts to identify similar individuals based on data known about them
Anissa Amandahas quoted2 months ago
classification predicts whether something will happen, whereas regression predicts how much something will happen.
Anissa Amandahas quoted2 months ago
Regression is related to classification, but the two are different.
Anissa Amandahas quoted2 months ago
Regression (“value estimation”) attempts to estimate or predict
Anissa Amandahas quoted2 months ago
Classification and class probability estimation attempt to predict
Anissa Amandahas quoted2 months ago
A critical skill in data science is the ability to decompose a data-analytics problem into pieces
b7252935387has quoted4 years ago
Deduction starts with general rules and specific facts, and creates other specific facts from them.