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https://www.quora.com/What-is-support-and-confidence-in-data-mining
Let me give you an example of “frequent pattern mining” in grocery stores. Customers go to Walmart, tesco, Carrefour, you name it, and put everything they want into their baskets and at the end they check out. Let’s agree on a few terms here: * T:...
http://data-mining.philippe-fournier-viger.com/how-to-auto-adjust-the-minimum-support-threshold-according-to-the-data-size/
Today, I will do a quick post on how to automatically adjust the minimum support threshold of frequent pattern mining algorithms such as Apriori, FPGrowth and PrefixSpan according to the size of the data.. The problem is simple. Let’s consider the Apriori algorithm. The input of this algorithm is a transaction database and a parameter called minsup that is a value in [0,1].
http://www.philippe-fournier-viger.com/spmf/MISApriori.pdf
Association rule mining is an important model in data mining. Its mining algorithms discover all item associations (or rules) in the data that satisfy the user-specified minimum support (minsup) and minimum confidence (minconf) constraints. Minsup controls the minimum …
http://www.cobase.cs.ucla.edu/tech-docs/zou/book.pdf
software) to store data and mining results. The Excel book also serves as an interface for interacting with users. There are three functions in the sys-tem: TMaxMiner, InvertCount, and RuleTree. TMaxMiner directly mines MFIs for a given minimal support from tabular data. InvertCount buildsCited by: 2
https://ev.fe.uni-lj.si/4-2007/Rupnik.pdf
data mining to facilitate decision support enables new approaches to problem solving. The paper introduces our approach to integration of decision support systems with data mining methods. We introduce a data mining based decision support system designed for business users enabling them to use association rule models to facilitate
http://www.cs.uky.edu/~goldsmit/cdm/DMCDSS.pdf
providing direct support for decision making at the point of care,these data could be used to improve the way clinical guidelines are used. Data Mining and Statistical Pattern Recognition Pattern recognition is a field within the area of data mining.It is the science that seeks analytical models with the ability to describe or classifyCited by: 29
https://www.ibm.com/support/knowledgecenter/en/SSEPGG_10.1.0/com.ibm.im.model.doc/c_defining_minimum_support.html
To define the minimum support that a rule must exceed to be calculated, use the DM_setMinSupport method to set the minimum support in the DM_RuleSettings value such as: IDMMX.DM_RuleSettings()..DM_setMinSupport(25) If you do not set the minimum support, the algorithm estimates a useful level for it.
https://stats.stackexchange.com/questions/23590/how-is-the-support-in-the-apriori-algorithm-calculated-in-the-case-of-duplicates
How is the support in the Apriori algorithm calculated in the case of duplicates? Ask Question ... the relative support of A, i.e. the relative number of transactions which contains A, is $\frac{2}{2}=1$ boring, but true. The english wikipedia page does not explain this well. My reference is "Data Mining: Concept and Techniques" by Han and ...
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