Data mining
means extracting facts from the available data
. While Knowledge means a deep study of those facts. We do not collect knowledge but facts. Hence it is called Data Mining rather than knowledge mining.
What is data mining Why is it called data mining rather knowledge mining?
Data mining
means extracting facts from the available data
. While Knowledge means a deep study of those facts. We do not collect knowledge but facts. Hence it is called Data Mining rather than knowledge mining.
Why is it called data mining?
Data mining is the analysis step of the “knowledge discovery in databases” process, or KDD. … The term “data mining” is a misnomer, because
the goal is the extraction of patterns and knowledge from large amounts of data
, not the extraction (mining) of data itself.
What is data mining also known as?
Data mining is also known as
Knowledge Discovery in Data (KDD)
.
What is the difference between data mining and knowledge discovery?
Knowledge Discovery in Databases (KDD) is the non-trivial extraction of implicit, previously unknown and potentially useful knowledge from data. Data mining is the exploration and analysis of large quantities of data in order to discover valid, novel,
potentially useful, and ultimately understandable patterns in data
.
What is KDD process in data mining?
KDD is referred to as Knowledge Discovery in Database and is defined as a
method of finding, transforming, and refining meaningful data and patterns from a
raw database in order to be utilised in different domains or applications.
What is the goal of data mining?
A goal of data mining is
to explain some observed event or condition
. Data mining is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems.
Why is data mining legal?
In of itself,
data mining is not illegal
. The problem arises with the source of the data and what miners do with the results. The data needs to either be public knowledge, such as weather data, or obtained consensually.
Why is data mining bad?
Misuse of information and discrimination
. Many fraudulent companies use data mining to target innocent people for various scams. They exploit the user's personal information to generate passwords and steal money from their bank accounts. It is just the introduction of information misuse.
Who is the father of data mining?
Rakesh
is fondly referred to as the father of data mining because of this seminal work and other fundamental data mining concepts and technologies he devised.
What is data mining give an example?
Data mining, or knowledge discovery from data (KDD), is the process of uncovering trends, common themes or patterns in “big data”. … For example, an early form of data mining was
used by companies to analyze huge amounts of scanner data from supermarkets
.
Where is data mining used?
Data Mining is primarily used today by companies with a
strong consumer focus
— retail, financial, communication, and marketing organizations, to “drill down” into their transactional data and determine pricing, customer preferences and product positioning, impact on sales, customer satisfaction and corporate profits.
What are the stages of data mining?
Data mining is as much analytical process as it is specific algorithms and models. Like the CIA Intelligence Process, the CRISP-DM process model has been broken down into six steps:
business understanding, data understanding, data preparation, modeling, evaluation, and deployment.
Is KDD and data mining same?
KDD
refers to the overall process of discovering useful knowledge from data, and data mining refers to a particular step in this process. Data mining is the application of specific algorithms for extracting patterns from data.”
Is KDD and data mining are similar?
Although, the two terms KDD and
Data Mining are heavily used interchangeably
, they refer to two related yet slightly different concepts. KDD is the overall process of extracting knowledge from data while Data Mining is a step inside the KDD process, which deals with identifying patterns in data.
What are the types of data mining?
Data mining has several types, including
pictorial data mining, text mining, social media mining, web mining, and audio and video mining
amongst others.
