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  2. Apriori algorithm - Wikipedia

    en.wikipedia.org/wiki/Apriori_algorithm

    Apriori [1] is an algorithm for frequent item set mining and association rule learning over relational databases.It proceeds by identifying the frequent individual items in the database and extending them to larger and larger item sets as long as those item sets appear sufficiently often in the database.

  3. Association rule learning - Wikipedia

    en.wikipedia.org/wiki/Association_rule_learning

    For example a 10^4 frequent 1-itemset will generate a 10^7 candidate 2-itemset. The algorithm also needs to frequently scan the database, to be specific n+1 scans where n is the length of the longest pattern. Apriori is slower than the Eclat algorithm. However, Apriori performs well compared to Eclat when the dataset is large.

  4. Frequent pattern discovery - Wikipedia

    en.wikipedia.org/wiki/Frequent_pattern_discovery

    Frequent pattern discovery (or FP discovery, FP mining, or Frequent itemset mining) is part of knowledge discovery in databases, Massive Online Analysis, and data mining; it describes the task of finding the most frequent and relevant patterns in large datasets. [1] [2] The concept was first introduced for mining transaction databases. [3]

  5. Lift (data mining) - Wikipedia

    en.wikipedia.org/wiki/Lift_(data_mining)

    Real mining problems would typically have more complex antecedents, but usually focus on single-value consequents. Most mining algorithms would determine the following rules (targeting models): Rule 1: A implies 0; Rule 2: B implies 1; because these are simply the most common patterns found in the data.

  6. Our Not-So-Naughty Jack Frosties Are The Perfect Mocktail To ...

    www.aol.com/not-naughty-jack-frosties-perfect...

    Yields: 4 servings. Prep Time: 5 mins. Total Time: 10 mins. Ingredients. 1. lemon, halved. White sanding sugar, for glasses. 2 c. cold dark blue sports drink (such as blue cherry Gatorade)

  7. Affinity analysis - Wikipedia

    en.wikipedia.org/wiki/Affinity_analysis

    There are two important metrics for performing the association rules mining technique: support and confidence. Also, a priori algorithm is used to reduce the search space for the problem. [1] The support metric in the association rule learning algorithm is defined as the frequency of the antecedent or consequent appearing together in a data set ...

  8. How long Thanksgiving food leftovers last, plus more food ...

    www.aol.com/news/heres-long-thanksgiving...

    How long gravy will last after Thanksgiving. Gravy can last up to four days in fridge and up to four months in freezer. To easily reheat gravy, add to a sauce pan and bringing to a rolling boil.

  9. US official fighting Chinese telecom intrusions urges more ...

    www.aol.com/news/us-official-fighting-chinese...

    Washington has voiced increasing concern over Beijing's alleged efforts to burrow deep into U.S. telecommunications companies, including T-Mobile, and steal data about U.S. calls.