The high demand for data processing and leads to high computational requirement which is usually not available at the user's end Compression algorithms reduce the redundancy in data representation thus increasing effective data density. Data compression is a very useful technique that helps in reducing...
Data Mining is a process to identify interesting patterns and knowledge from a large amount of data. In these steps, intelligent patterns are applied to extract the data patterns. The data is represented in the form of patterns and models are structured using classification and clustering technique...
In the context of this book, we regard data compression (or compression in short) as algorithms to achieve the compression goals on the source data. Behind each algorithm there are ideas, mathematical models or implementation techniques to achieve the compression. When working on compression problems...
They are clearly evident in highly structured image areas, but they are obviously present all over the image. They might not be as evident within the noisy (close to purely random, see fig. 2) background, but this could depend on aliasing noise, due to the small size of the spot of ...
Compression Lossy Reducing: It is necessary to store only the model parameter in this reduction technique because the real data is replaced with mathematical models or a smaller representation of the data instead of actual data. Or non-parametric methods like clustering, histogram, screening, etc. ...
(e.g., CNNs) to compression; string searching and manipulation used in compression applications; fractal-based compression methods; information retrieval employing compression techniques; steganography / hidden information with respect to compressed data; minimal-length encoding and applications to learning;...
Much better compression ratios can be obtained using specialized data compression techniques as they can make use of those types of redundancy that are not exploited by general-purpose data compression methods. In this article, selected techniques for specialized data compression are reviewed....
or a combination of unstructured and structured data. Much of this data comes from various sources that can be gained via data mining and warehousing techniques. An example of transforming raw images into training data for face recognition software can be explored in depth atClickworker’s case st...
6 trends that shaped data management, analytics in 2024 The transformation of data platforms into AI development platforms and the rise of agentic AI were the top developments in data management and business intelligence. Continue Reading By Eric Avidon, Senior News Writer Feature 20 Dec 2024 ...
shown in Fig.2. When we see these two figures, we will think that if these shapes in Fig.2are used as the basic units of the image to complete the compression of several patterns in Fig.1, the compression effect will be great. Data mining44,45points out the way to solve this ...