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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. 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 ...

  4. 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.

  5. Frequent pattern discovery - Wikipedia

    en.wikipedia.org/wiki/Frequent_pattern_discovery

    For the most part, FP discovery can be done using association rule learning with particular algorithms Eclat, FP-growth and the Apriori algorithm. Other strategies include: Frequent subtree mining; Structure mining; Sequential pattern mining; and respective specific techniques.

  6. The 2-Ingredient Bars I Make Every Christmas - AOL

    www.aol.com/lifestyle/2-ingredient-bars-every...

    How To Make My 2-Ingredient Jam Bars. To make one 8x8-inch pan, or 12 to 16 bars, you’ll need: 1 (1-pound) log refrigerated sugar cookie dough

  7. Entity–attribute–value model - Wikipedia

    en.wikipedia.org/wiki/Entity–attribute–value...

    A car, for example, has an engine, a transmission, etc., and the engine has components such as cylinders. (The permissible substructure for a given class is defined within the system's attribute metadata, as discussed later. Thus, for example, the attribute "random-access-memory" could apply to the class "computer" but not to the class "engine".)

  8. ‘The Crossing Videos’ by Huffington Post

    testkitchen.huffingtonpost.com/thecrossing-video

    ‘The Crossing Videos’ by Huffington Post

  9. Can You Do a Pushup? This Is How Many You Should Be Able to ...

    www.aol.com/pushup-many-able-perform-depending...

    Want to know how fit you are?Drop and give me 20 — or less, depending on your age. The number of pushups you can do can be a good indicator of your muscular strength and endurance, according to ...