Showing posts with label Data Warehouse and Mining. Show all posts
Showing posts with label Data Warehouse and Mining. Show all posts

Write short note on Decision Tree based Classification Approach

Training dataset should be class-labeled for learning of decision trees in decision tree induction. A decision tree represents rules and it is very a popular tool for classification and prediction....

Describe the various functionalities of Data Mining as a step in the process of Knowledge Discovery.

Knowledge discovery in the database is the process of searching for hidden knowledge in the massive amounts of data that we are technically capable of generating and storing. The basic...

What is meant by metadata in the context of a Data warehouse? Explain different types of metadata stored in a data warehouse.

Metadata are data about data.When used in a data warehouse, metadata are the data that define warehouse objects. Metadata are created for the data names and definitions of given warehouse....

Fact less Fact table

A fact less fact table is a fact table that does not have any measures i.e, it captures the many-to-many relationships between dimensions but contains no numeric or textual facts....

Difference between OLTP and OLAP.

OLTP OLAP OLTP, Online Transaction Processing are the operational data. OLAP, Online Analytical Processing are the consolidation data. OLTP are the orignal source data. OLAP data comes from various OLTP...

Difference between Data Warehouse vs Data Mart

Here the differences in a data warehouse and data mart.It is one of the most important question as it is been asked in many exams as well as in viva...