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Data Mining

Information Systems

Data mining is the process of extracting and finding patterns in massive data sets using methods at the intersection of machine learning, statistics and database systems. It is an interdisciplinary subfield of computer science and statistics whose overall goal is to extract information from a data set and transform it into a comprehensible structure for further use, forming the analysis step of the wider knowledge discovery in databases process; beyond the raw analysis it also involves database and data management, data pre-processing, model and inference considerations, interestingness metrics, complexity considerations, post-processing of discovered structures, visualization and online updating. This description is adapted from Wikipedia contributors under CC BY-SA 4.0; changes were made. https://creativecommons.org/licenses/by-sa/4.0/

Facts
Disputed
Origin Year
1990 1
The term itself appeared around 1990 in the database community; the statistical and analytical methods it draws on trace back much further (Bayes' theorem, 18th century; regression analysis, 19th century).
Core Concern
Extracting patterns from large data sets using methods from machine learning, statistics and database systems 1
Data Mining
Filter Results5 entries

Apriori Algorithm

Data Mining

BIRCH Algorithm

Data Mining

DBSCAN Algorithm

Data Mining

Hierarchical Clustering Algorithm

Data Mining

Sequential Pattern Mining

Data Mining
Connections

Associated With

Bioinformatics, Fields

Field-to-field association; both are standard neighbouring areas of computing

Data and Information Visualization, Fields
Data Science, Fields

Field-to-field association; both are standard neighbouring areas of computing

Databases, Fields
Information Retrieval, Fields
Machine Learning, Fields
Source Wikipedia: Data mining
Recommender Systems, Fields

Includes

Apriori Algorithm, Algorithms
Source Wikipedia: Apriori algorithm
BIRCH Algorithm, Algorithms
Source BIRCH (Wikipedia)
Christos Faloutsos, Pioneers
Source Christos Faloutsos (Wikipedia)
DBSCAN Algorithm, Algorithms
Source DBSCAN (Wikipedia)
Edith Cohen, Pioneers
Source Wikipedia: Edith Cohen
Hierarchical Clustering Algorithm, Algorithms
Source Hierarchical clustering (Wikipedia)
Jiawei Han, Pioneers
Source Wikipedia: Jiawei Han
Panos Ipeirotis, Pioneers
Source Panos Ipeirotis (Wikipedia)
Ramakrishnan Srikant, Pioneers
Source Ramakrishnan Srikant (Wikipedia)
Sequential Pattern Mining, Algorithms
Source Wikipedia: Sequential pattern mining
Usama Fayyad, Pioneers
Source Usama Fayyad (Wikipedia)
Sources
1. Wikipedia: Data mining
Wikimedia Foundation
  • Lead section, para 1
    Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems.
  • Etymology section
    The term data mining appeared around 1990 in the database community, with generally positive connotations.
  • In Group: Data Management and Mining, lead section
View the Source
Christos Faloutsos (Wikipedia)
Includes: Christos Faloutsos, Lead
Quote, Includes: Christos Faloutsos, Lead
His research interests include data mining for streams and networks, fractals, indexing for multimedia and bio-informatics data bases, and performance.
View the Source
Wikipedia: Apriori algorithm
Includes: Apriori Algorithm, Lead sentence
Quote, Includes: Apriori Algorithm, Lead sentence
Apriori is an algorithm for frequent item set mining and association rule learning over relational databases.
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Wikipedia: Edith Cohen
Includes: Edith Cohen, Lead paragraphView the Source
Usama Fayyad (Wikipedia)
Includes: Usama Fayyad, Lead paragraphView the Source
Ramakrishnan Srikant (Wikipedia)
Includes: Ramakrishnan Srikant, Lead paragraphView the Source
Wikipedia: Sequential pattern mining
Includes: Sequential Pattern Mining, Lead paragraphView the Source
Wikipedia: Jiawei Han
Wikimedia FoundationIncludes: Jiawei Han, Infobox field and known_for, lead paragraphView the Source
DBSCAN (Wikipedia)
Includes: DBSCAN Algorithm, Lead
Quote, Includes: DBSCAN Algorithm, Lead
Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu in 1996.
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Hierarchical clustering (Wikipedia)
Includes: Hierarchical Clustering Algorithm, Lead
Quote, Includes: Hierarchical Clustering Algorithm, Lead
In data mining and statistics, hierarchical clustering (also called hierarchical cluster analysis or HCA) is a method of cluster analysis that seeks to build a hierarchy of clusters.
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BIRCH (Wikipedia)
Includes: BIRCH Algorithm, Lead
Quote, Includes: BIRCH Algorithm, Lead
BIRCH (balanced iterative reducing and clustering using hierarchies) is an unsupervised data mining algorithm used to perform hierarchical clustering over particularly large data-sets.
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Panos Ipeirotis (Wikipedia)
Includes: Panos Ipeirotis, Lead
Quote, Includes: Panos Ipeirotis, Lead
His research focuses on data mining, crowdsourcing, human computation, and the economics of online information systems.
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