Document worth reading: “A Survey of Utility-Oriented Pattern Mining”

The principal aim of info mining and analytics is to look out novel, doubtlessly useful patterns that could be utilized in real-world functions to derive helpful knowledge. For determining and evaluating the usefulness of completely different types of patterns, many strategies/constraints have been proposed, much like help, confidence, sequence order, and utility parameters (e.g., weight, worth, income, quantity, and so forth.). In newest years, there was an rising demand for utility-oriented pattern mining (UPM). UPM is a vital exercise, with fairly a number of high-impact functions, along with cross-marketing, e-commerce, finance, medical, and biomedical functions. This survey objectives to supply a traditional, full, and structured overview of the state-of-the-art methods of UPM. First, we introduce an in-depth understanding of UPM, along with concepts, examples, and comparisons with related concepts. A taxonomy of the most common and state-of-the-art approaches for mining completely different types of high-utility patterns is launched, along with Apriori-based, tree-based, projection-based, vertical-/horizontal-data-format-based, and totally different hybrid approaches. A whole evaluation of superior issues of current high-utility pattern mining strategies is obtainable, with a dialogue of their execs and cons. Finally, we present a quantity of well-known open-source software program program packages for UPM. We conclude our survey with a dialogue on open and wise challenges on this topic. A Survey of Utility-Oriented Pattern Mining