Data Mining - Introduction
- Attribute Types
- Basic Statistical Descriptions of Data
- Knowledge Discovery from Data (KDD)
- Data Mining architecture
- Types of Data
- Data Mining Functionalities
- Interestingness Patterns
- Classification of Data Mining systems
- Data mining Task primitives
- Integration of Data mining system with a Data warehouse
- Major issues in Data Mining
- Data Preprocessing
- Association Rule Mining
- Mining Frequent Patterns
- Associations and correlations
- Mining Methods
- Apriori algorithm
- FP-Growth algorithm
- Mining Various kinds of Association Rules
- Correlation Analysis
- Constraint based Association mining
- Graph Pattern Mining
- SPM(Sequential Pattern Mining)
- Classification
- Basic concepts
- Decision tree induction
- Bayesian classification
- Rule–based classification
- Lazy learner(K-NN)
Classification of Data Mining systems
Data Mining is considered as an interdisciplinary field. It includes a set of various disciplines such as statistics, database systems, machine learning, visualization, and information sciences. Classification of the data mining system helps users to understand the system and match their requirements with such systems.
Data mining discovers patterns and extracts useful information from large datasets. Organizations need to analyze and interpret data using data mining systems as data grows rapidly. With an exponential increase in data, active data analysis is necessary to make sense of it all.
Data mining (DM) systems can be classified based on various factors.
- Classification based on Types of Data Mined
- Classification based on Type of knowledge Mined
- Classification based on Type of Technique Utilized
- Classification based on Application Domain
Classification based on Types of Data Mined
A database mining system can be classified based on ‘type of data’ or ‘use of data’ model or ‘application of data.’
For Example: Relational Database, Transactional Database, Multimedia Database, Textual Data, World Wide Web (WWW) and etc,
Classification based on Type of knowledge Mined
:We can classify a data mining system according to the kind of knowledge mined. It means the data mining system is classified based on functionalities such as
- Association Analysis
- Classification
- Prediction
- Cluster Analysis
- Characterization
- Discrimination
Classification based on Type of Technique Utilized
We can classify a data mining system according to the kind of techniques used. We can describe these techniques according to the degree of user interaction involved or the methods of analysis employed.
Data Mining systems use various techniques, including Statistics, Machine Learning, Database Systems, Information retrieval, Visualization, and pattern recognition.
Classification based on Application Domain
We can classify a data mining system according to the applications adapted. These applications are as follows
- Finance
- Telecommunications
- E-Commerce
- Medial Sector
- Stock Markets
Next Topic :Data mining Task primitives