Mining Jobs No Experience
As data mining algorithms are typically applied to sizable volumes of high-dimensional data, these can result in large storage requirements and inefficient computation times.
This unique text/reference addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain. Schemes are presented which are shown to be efficient both in terms of space and time, while simultaneously providing the same or better classification accuracy, as illustrated using high-dimensional handwritten digit data and a large intrusion detection dataset.
Topics and features: presents a concise introduction to data mining paradigms, data compression, and mining compressed data; describes a non-lossy compression scheme based on run-length encoding of patterns with binary valued features; proposes a lossy compression scheme that recognizes a pattern as a sequence of features and identifying subsequences; examines whether the identification of prototypes and features can be achieved simultaneously through lossy compression and efficient clustering; discusses ways to make use of domain knowledge in generating abstraction; reviews optimal prototype selection using genetic algorithms; suggests possible ways of dealing with big data problems using multiagent systems.
A must-read for all researchers involved in data mining and big data, the book proposes each algorithm within a discussion of the wider context, implementation details and experimental results. These are further supported by bibliographic notes and a glossary."
This book investigates the Upper Silesian Coal Basin (USCB), one of the oldest and largest mining areas not only in Poland but also in Europe. Using uniform research methods for the whole study area, it also provides a summary of the landscape transformations. Intensive extraction of hard coal, zinc and lead ores, stowing sands and rock resources have caused such extensive transformations of landscape that it can be considered a model anthropogenic relief. The book has three main focuses: 1) Identifying anthropogenic forms of relief related to mining activity and presenting them from a spatial, genetic and age perspective; 2) Determining the changes in the morphometric characteristics of relief and the conditions for matter circulation in open systems (drainage basins) and closed systems (land-locked basins) caused by the extraction of mineral resources; and 3) Estimating the extent of anthropogenic denudation using two different methods based on raw-material output and morphometric analysis. In Poland, no other mining area has undergone such intensive mining activity as the Upper Silesian Coal Basin during the last half century. Its share in the total extraction of mineral resources was as high as 32%. The total extraction of hard coal in the Upper Silesian Coal Basin from the mid-18th century until 2009 was the sixth largest in the world, and the permanent, regional effects of mining anthropopressure on the relief are among the most severe in the world. The anthropogenic denudation rate in the Upper Silesian Coal Basin, as well as the Ruhr Coal Basin (Ruhr District) and the Ostrava-Karvina Coal Basin, ranges from several dozen up to several hundred times higher than the rate of natural denudation, irrespective of the calculation method used. It would take the natural denudation processes tens of thousands of years to remove the same amount of material from the substratum as that removed through human mining activity.
This book is devoted to the phenomenon of synchronization and its application for determining the values of Lyapunov exponents. In recent years, the idea of synchronization has become an object of great interest in many areas of science, e.g., biology, communication or laser physics. Over the last decade, new types of synchronization have been identified and some interesting new ideas concerning the synchronization have also appeared.
Mining Jobs No Experience Articles
Mining Jobs No Experience Books
Mining Jobs No Experience