I need five to six sentences on...
What is the difference between "data mining" and "OLAP"?
Datamining :
1) Datamining is in a kind of the multi dimensional analysis, where ther can be have more than the one dimension
2) And the dimensions in data mining is gonna be very large
3) The main use of data mining is used to predict data, which happens to be future data
4) In Data mining we used the Bottom - up Approach
5) In the data mining we have very complex problems to get to be solved
6) In Datamining we happened to be have the huge amount of the data, so that we can predict the future solutions
OLAP :
1) OLAP is with the help of the analytical processing
2) Unlike the Datamining is has the very limited in the number of dimensions
3) OLAP where has the Analysis with the data that we have
4) In OLAP we use the Top-Down Approach
5) We use database for the OLAP, where we happen to be Analyse the data that we have in the database
6) But Unlinke tha datamining OLAP is very used widely among the companies
I need five to six sentences on... What is the difference between "data mining" and "OLAP"?
Explain OLAP and data mining processes. Include the following in your discussion: The functions of OLAP and data mining How OLAP and data mining complement one another How OLAP and data mining exist independently An example of when each system would be used Tools available to support each phase of these processes
Online Analytical Processing (OLAP) and data mining are fundamentally the same type of process, but have functional differences in how they are used in an organization. Explain OLAP and data mining processes. Include the following in your discussion: The functions of OLAP and data mining How OLAP and data mining complement one another How OLAP and data mining exist independently An example of when each system would be used Tools available to support each phase of these processes
I need five to six sentences on.. Explain what the Entity-Relationship model is and what its purpose is
How are relational databases are used in OLAP analysis, data mining, and E-commerce website applications.
Q2: What does data pre-processing mean in Data Mining and why is it important? Explain the five (5) steps in data pre-processing? Q3: What is an outlier? Why outlier detection is important in some of the data mining applications? Give examples of such applications. Please, Please, Please and Please… 1. I need new and unique answers, please. (Use your own words, don't copy and paste, even when you answer like theses answers before.) 2. Please Use your keyboard to answer...
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I need 5 to 6 pages on topic “Brief on Data Mining Techniques, Methods, Algorithms and Tools”
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