|data mining using c++||1.43||0.6||448||32|
|data mining using sql||0.13||0.6||6217||100|
|data mining using sas||0.8||1||146||84|
|data mining using soft computing||0.14||0.6||187||80|
|company using data mining||0.54||0.2||4559||49|
|companies successfully using data mining||0.93||0.2||2022||80|
|using sql for data mining||0.52||1||8292||93|
|data mining and dataset preparation using sql||1.66||0.1||2858||16|
|data mining using sql server||0.72||1||1255||42|
Data mining is the process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.What is datadata mining?
Data mining is the analysis step of the "knowledge discovery in databases" process, or KDD.What is the proper name for data mining?
Thus, data mining should have been more appropriately named "knowledge mining from data," which is unfortunately somewhat long ^ Witten, Ian H.; Frank, Eibe; Hall, Mark A. (2011). Data Mining: Practical Machine Learning Tools and Techniques (3 ed.). Elsevier. ISBN 978-0-12-374856-0.Why is data mining a misnomer?
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. It also is a buzzword and is frequently applied to any form of large-scale data or information processing ( collection, extraction, warehousing, analysis,...