TDM Methods

TDM Methods

Artificial intelligence (AI) can be defined as an intelligence exhibited by machines. The term is frequently applied to The art of creating machines that perform functions that require intelligence...

Association rules are rule-based machine learning methods for discovering interesting relations between variables in large databases. It is intended to identify strong rules discovered in databases...

Classification is a general process related to categorization, in which ideas and objects are recognized, differentiated, and understood. A classification system is an approach to accomplishing cla...

Clustering, also known as cluster analysis, is the grouping of a particular set of objects based on their characteristics, aggregating them according to their similarities. Regarding to data mining...

Across a wide variety of fields, data are being collected and accumulated at a dramatic pace. It has been estimated that the amount of data stored in the world's databases doubles every 20 months. ...

As a data mining process, graph mining is used to find and to extract patterns from graph data structure. A graph is a network of nodes that also describes the realtionship and the interaction betw...

Information extraction allows to uncover structured information from unstructured and/or semi-structured texts and data collections. The natural language processing is an important method in inform...

Information retrieval (IR) is searching information resources satisfying specific information needs from within collections or data sets usually stored on computers. Mostly the information resource...

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