supoort meand the uninon of probhabilty of A union B
and confidance is the probhability of B divide by A
difference between Data Mining and OLAP
Perhaps the data that you are given.
online analytical processing uses basic operations such as slice and dice drilldown and roll up on historical data in order to provide multidimensional analysis of data data mining uses knowledge discovery to find out hidden patterns and association constructing analytical models and presenting mining results with visualization tools.
Data mining is the process of extracting hidden patterns from data. As more data is gathered, with the amount of data doubling every three years,[1] data mining is becoming an increasingly important tool to transform this data into information. It is commonly used in a wide range of profiling practices, such as marketing, surveillance, fraud detection and scientific discovery. Database is just the system that holds all the data. Or: "A database is a structured collection of records or data that is stored in a computer system." http://en.wikipedia.org/wiki/Database http://en.wikipedia.org/wiki/Data_mining
Sequence mining is a topic of data mining concerned with finding statistically relevant patterns between data examples where the values are delivered in a sequence.[1] It is usually presumed that the values are discrete, and thus time series mining is closely related, but usually considered a different activity. Sequence mining is a special case of structured data mining.There are several key traditional computational problems addressed within this field. These include building efficient databases and indexes for sequence information, extracting the frequently occurring patterns, comparing sequences for similarity, and recovering missing sequence members. In general, sequence mining problems can be classified as string mining which is typically based on string processing algorithms and itemset mining which is typically based on association rule learning.
difference between Data Mining and OLAP
Mine Management refers to the mineral that is yet to be mined while mining management refers to the process of mining the minerals in question.
Oil mining is done by mechanics while rice cultivation is manual.
There is only a slight difference between discrimination and classification in data mining. Discrimination can be negative and classification is generally just factual.
Room and pillar mining is when pillars of rock are left standing to support the roof. Between the pillars, coal or ore is cut out and removed leaving spaces known as rooms.
What are the relationships between mining and geology
Perhaps the data that you are given.
The answer is "sprag".
mining the data is called data mining. Mining the text is called text mining
No
Placer mining involves extracting minerals like gold from loose, unconsolidated materials, such as alluvial deposits or sandbars. On the other hand, lode mining involves extracting minerals from hard rock deposits, typically by following veins or deposits of valuable minerals embedded within the rock.
for me the greediness of man is breaking the limits hence marching toward gold rushing i.e. extracting from all possible means rather the mining it for trade purpose fullfilment