An important problem in data mining is to represent multivariate data and extract useful features from the data. For simplicity, the observed data is usually assumed to be a linear mixture of some latent variables. Well-known linear transformation methods include Principal Component Analysis (PCA),...
The increasing use of various mobile devices has shown that there is a need for mobile data mining applications. While many existing data mining frameworks can be modified to handle data streams generated in real time, they are usually too complex and inflexible to be used in mobile devices. ...
Data Mining: A Knowledge Discovery Approach Data mining can be defined as a process of inspecting through large amounts of data and extracting useful information: “the nontrivial extraction of implicit, previously unknown, and potentially useful information from data” ... KJ Cios,LA Kurgan,P Wi...
Component-based software for clustering in data mining - A prototype in MatlabDelibašić, BKirchner, KRuhland, J
SSIS Integration Runtime in Azure Data Factory To set the properties of data flow components, which include sources, destinations, and transformations, use one of the following features: The component editors that Integration Services provides. These editors include only the custom properties of each ...
APPLICATION OF INDEPENDENT COMPONENT ANALYSIS FOR THE DATA MINING OF SIMULTANEOUS EEG 鈥 fMRI : PRELIMINARY EXPERIENCE ON SLEEP ONSET Department of Radiology Department of Electrical Engineering KAIST Daejeon Republic of Korea Department of Radiology Depar...
Music Data Processing and Mining in Large Databases for Active Media To reduce the dimensionality of data the Principal Component Analysis (PCA) with variable value of factors was employed. The tests were conducted in the ... P Hoffmann,B Kostek 被引量: 17发表: 2014年 Principal component analy...
Independent component analysis (ICA) is a statistical technique to decompose multivariate data into statistically independent components. It could be applied to mine data of medical, economy or telecommunication systems, and to analyze data of GIS systems for agriculture or environment applications. To ...
lossless and similarity. How to take advantage of these two properties to reduce the information needed to represent an image is the key point of compression. In this paper, we employ the big data mining to set up the image codebook. That is, to find the basic components of images. We ...
This article describes a relatively new research topic called independent component analysis (ICA), which is becoming very popular in the signal processing literature and amongst those working in machine learning and data mining. The primary focus of ICA is to resolve the classical problem of blind...