Ex1.1 what is data mining?
(a) Is it another hype?
Data mining is Knowledge extraction from data this need for data mining has arisen due to the wide availability of huge amounts of data and the imminent need for turning such data into useful information and knowledge. So, data mining definitely is not another hype it can be viewed as the result of the natural evolution of information technology.
(b) Is it a simple transformation of technology developed from databases, statistics, and machine learning?
Data mining is the process of discovering interesting patterns and knowledge from large amounts of data. So it’s more than a simple transformation of technology developed from databases, statistics which are a main data sources for data mining but in the other hand data mining includes an integration of techniques form multiple disciplines such as database technology, statistics, image and signal processing…
(c) Explain how the evolution of database technology led to data mining?
Database technology began with the development of data collection and database creation mechanisms that led to the development of effective mechanisms for data management including data storage and retrieval, and query and transaction processing. The large number of database systems offering query and transaction processing eventually and naturally led to the need for data analysis and understanding. Hence, data mining began its development out of this necessity.
(d) Describe the steps involved in data mining when viewed as a process of knowledge discovery.
The steps involved in data mining when viewed as a process of knowledge discovery are as follows:
Data cleaning it is a phase in which noise data and irrelevant data are removed from the collection.
Data integration at this stage, multiple data sources, often heterogeneous, may be combined in a common source.
Data selection, at this step, the data