The application of data mining methods
Geng, Xiaoli (2011)
Geng, Xiaoli
Turun ammattikorkeakoulu
2011
All rights reserved
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2011061612177
https://urn.fi/URN:NBN:fi:amk-2011061612177
Tiivistelmä
Data mining is becoming more and more important. The aim of this thesis is to study and research data mining, to clarify the background, knowledge and method of data mining, and research some specific areas applications. The aim is also to experiment with an open software by mining some sample data, to prove the advantage and convenience of data mining.
This thesis first introduces the basic concepts of data mining, such as the definition of data mining, its basic function, common methods and basic process, and two common data mining methods, classification and clustering. Then a data mining application in network is discussed in detail, followed by a brief introduction on data mining application in business projects, and some success cases. The last chapter simply introduces a famous open data mining working platform named WEKA, describes the related knowledge of software, characteristics and working process, and takes a simple data mining test based on this software.
This new technology discards unuseful information and obtains useful information, and this can be widely used in various applications. Data mining can extract useful information through many different methods and algorithms, so it can be applied on many different areas or different environments.
This thesis first introduces the basic concepts of data mining, such as the definition of data mining, its basic function, common methods and basic process, and two common data mining methods, classification and clustering. Then a data mining application in network is discussed in detail, followed by a brief introduction on data mining application in business projects, and some success cases. The last chapter simply introduces a famous open data mining working platform named WEKA, describes the related knowledge of software, characteristics and working process, and takes a simple data mining test based on this software.
This new technology discards unuseful information and obtains useful information, and this can be widely used in various applications. Data mining can extract useful information through many different methods and algorithms, so it can be applied on many different areas or different environments.