| 词条 | Frequent pattern discovery |
| 释义 |
Frequent pattern discovery (FP discovery, FP mining, or Frequent itemset mining) as part of knowledge discovery in databases / Massive Online Analysis, and data mining 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] Frequent patterns are defined as subsets (itemsets, subsequences, or substructures) that that appear in a data set with frequency no less than a user-specified or auto-determined threshold.[2][3] TechniquesTechniques for FP mining include:
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
and respective specific techniques. Implementations exist for various machine learning systems or modules like MLlib for Apache Spark.[5] References1. ^1 {{cite journal|url=https://www.cs.ucsb.edu/~xyan/papers/dmkd07_frequentpattern.pdf|doi=10.1007/s10618-006-0059-1|title=Frequent pattern mining: current status and futuredirections|journal=Data Mining and Knowledge Discovery|volume=15|pages=55–86| access-date=2019-01-31|author1=Jiawei Han|author2=Hong Cheng|author3=Dong Xin|author4=Xifeng Yan|year=2007}} 2. ^1 {{cite web | title=Frequent Pattern Mining | website=SIGKDD | date=1980-01-01 | url=https://www.kdd.org/kdd2016/topics/view/frequent-pattern-mining | access-date=2019-01-31}} 3. ^{{cite web | title=Frequent pattern Mining, Closed frequent itemset, max frequent itemset in data mining | website=T4Tutorials | date=2018-12-09 | url=https://t4tutorials.com/frequent-pattern-mining-in-data-mining/ | ref={{sfnref | T4Tutorials | 2018}} | access-date=2019-01-31}} 4. ^1 {{cite journal | last=Agrawal | first=Rakesh | last2=Imieliński | first2=Tomasz | last3=Swami | first3=Arun | title=Mining association rules between sets of items in large databases | journal=ACM SIGMOD Record | volume=22 | issue=2 | date=1993-06-01 | issn=0163-5808 | doi=10.1145/170036.170072 | pages=207–216 | ref=harv| citeseerx=10.1.1.217.4132 }} 5. ^{{cite web | title=Frequent Pattern Mining | website=Spark 2.4.0 Documentation | url=https://spark.apache.org/docs/latest/ml-frequent-pattern-mining.html | ref={{sfnref | Spark 2.4.0 Documentation}} | access-date=2019-01-31}} 1 : Data mining |
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