Data Mining Algorithms In R
Publisher: Wikibooks 2010
In general terms, Data Mining comprises techniques and algorithms, for determining interesting patterns from large datasets. There are currently hundreds (or even more) algorithms that perform tasks such as frequent pattern mining, clustering, and classification, among others.
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by Graham Williams - Togaware Pty Ltd
Data mining is about building models from data. We build models to gain insights into the world and how the world works. A data miner, in building models, deploys many different data analysis and model building techniques.
by Christian S. Jensen - Aalborg University
Topics covered: the semantics of temporal data, the design of data models and languages for temporal data, the design of databases expressed in terms of temporal data models as well as temporally enhanced design of conventional databases.
by Paris C. Kanellakis - Brown University Providence
The goal of this paper is to provide a systematic and unifying introduction to relational database theory, including some of the recent developments in database logic programming. The exposition closes with the problems of complex objects...
by Saed Sayad - University of Toronto
Data Mining is about explaining the past and predicting the future by means of data analysis. Data mining is a multidisciplinary field which combines statistics, machine learning, artificial intelligence and database technology.