Data mining is a tool for allowing users to: obtain online answers to ad hoc questions in a rapid amount of time. find hidden relationships in data. quickly compare transaction data gathered over many years. perform multidimensional data analysis. summarize massive amounts of data into much smaller, traditional reports.

find hidden relationships in data.

Explanation:

Data mining is a term that describes tools such as Rapid Miner, Orange Weka, Apache Mahouts involves a process of methodical approach in performing analysis, from different types of related data, so as to find hidden relationships among them. It also involves, classification and grouping of those data, and carrying out information by summarizing the classified data and determining the existing relationships between them.

Other Data mining tools are IBM SPSS Modeler, SAS Data Mining, Python, Spark, Dundas BI, and many more.

Find hidden relationship in data.

Explanation: Data mining is an analytic process employed for deriving patterns in a dataset which could be necessary for generating useful insight and making important business and economic decisions.

Data mining is especially a

useful tool in business where organizations explore large datasets to find hidden patterns, anomalies and relationships necessary for making big business decisions.

Some data mining softwares include Rapid Miner, SAS and SPSS.

1. seasonal

2. frictional unenployment

3. the number of the labor force multiplied by 100 and then subtract the number of unemployed.

4. 4%

5. an increase in prices

okay what's the question?