Tag: Mining

Bitcoin Mining Handbook


Free Download Bitcoin Mining Handbook by Daniel Frumkin of Braiins
English & Spanish | 2023 | ISBN: 9788090797598 | 105 pages | PDF | 4.25 Mb
The 1st book in the series, the Bitcoin Mining Handbook starts with the basics of mining, explaining the incentives of proof of work, some practical tips for mining yourself, and clearing up a common misconception by explaining that miners are NOT solving complex math problems. Then it dives a little deeper, touching on the emergence of custom firmware for miners, the importance of the Stratum V2 protocol upgrade, and the business side of the mining industry.

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Bitcoin Mining Glossary


Free Download Bitcoin Mining Glossary by Martin Connor
English | 2024 | ISBN: 9788090870918 | 107 pages | PDF | 1.80 Mb
Bitcoin mining is confusing. As the world’s first bitcoin mining pool, we know that. The Braiins propaganda team put together 256 terms, organized by categories, to help new miners get started in the industry. Whether you want to run one ASIC to heat your home or develop a full mining facility, this glossary will help you get started.

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Bitcoin Mining Economics


Free Download Bitcoin Mining Economics by Daniel Frumkin, Jachym Cerny, Jason Les
English | January 1, 2023 | ISBN: 809087097X | 162 pages | PDF | 8.51 Mb
In this incisive exploration, we go beyond the basics and dive deep into the economics of bitcoin mining. This book traverses two significant trends that are shaping the future of mining – the intersection of the energy and bitcoin mining industries, and the maturation of the mining industry from a business and financial perspective.

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Mining and Construction in Snow and Ice From Test Pits to Long Tunnels


Free Download Mining and Construction in Snow and Ice: From Test Pits to Long Tunnels
English | 2024 | ISBN: 3031765079 | 266 Pages | PDF EPUB (True) | 78 MB
Snow, firn, and ice are the most widespread cryogenic minerals on Earth’s surface. Their properties differ significantly from those of common minerals, and their excavation requires special approaches. The problems of mining and construction in snow and ice could be explained mostly by harsh climate conditions, logistics difficulties, environmental issues and snow-ice related challenges. The primary objective of this book is to list all feasible technologies for mining and construction in snow and ice, and to analyze these from the perspective of applications, problems, and hindrances.

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Information-Statistical Data Mining Warehouse Integration with Examples of Oracle Basics


Free Download Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics By Bon K. Sy, Arjun K. Gupta (auth.)
2004 | 289 Pages | ISBN: 1441990011 | PDF | 13 MB
Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is written to introduce basic concepts, advanced research techniques, and practical solutions of data warehousing and data mining for hosting large data sets and EDA. This book is unique because it is one of the few in the forefront that attempts to bridge statistics and information theory through a concept of patterns. Information-Statistical Data Mining: Warehouse Integration with Examples of Oracle Basics is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

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Database Support for Data Mining Applications Discovering Knowledge with Inductive Queries


Free Download Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries By Jean-François Boulicaut (auth.), Rosa Meo, Pier Luca Lanzi, Mika Klemettinen (eds.)
2004 | 332 Pages | ISBN: 3540224793 | PDF | 3 MB
Data mining from traditional relational databases as well as from non-traditional ones such as semi-structured data, Web data, and scientific databases housing biological, linguistic, and sensor data has recently become a popular way of discovering hidden knowledge.This book on database support for data mining is developed to approaches exploiting the available database technology, declarative data mining, intelligent querying, and associated issues, such as optimization, indexing, query processing, languages, and constraints. Attention is also paid to the solution of data preprocessing problems, such as data cleaning, discretization, and sampling.The 16 reviewed full papers presented were carefully selected from various workshops and conferences to provide complete and competent coverage of the core issues. Some papers were developed within an EC funded project on discovering knowledge with inductive queries.

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Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing 10th International Conference, RSFDGrC 2005, Regina, Canada, Augus


Free Download Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing: 10th International Conference, RSFDGrC 2005, Regina, Canada, August 31 – September 3, 2005, Proceedings, Part I By Zdzisław Pawlak (auth.), Dominik Ślęzak, Guoyin Wang, Marcin Szczuka, Ivo Düntsch, Yiyu Yao (eds.)
2005 | 748 Pages | ISBN: 3540286535 | PDF | 9 MB
This volume contains the papers selected for presentation at the 10th Int- national Conference on Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, RSFDGrC 2005, organized at the University of Regina, August 31st-September 3rd, 2005. This conference followed in the footsteps of inter- tional events devoted to the subject of rough sets, held so far in Canada, China, Japan,Poland,Sweden, and the USA. RSFDGrC achievedthe status of biennial international conference, starting from 2003 in Chongqing, China. The theory of rough sets, proposed by Zdzis law Pawlak in 1982, is a model of approximate reasoning. The main idea is based on indiscernibility relations that describe indistinguishability of objects. Concepts are represented by – proximations. In applications, rough set methodology focuses on approximate representation of knowledge derivable from data. It leads to signi?cant results in many areas such as ?nance, industry, multimedia, and medicine. The RSFDGrC conferences put an emphasis on connections between rough sets and fuzzy sets, granularcomputing, and knowledge discoveryand data m- ing, both at the level of theoretical foundations and real-life applications. In the case of this event, additional e?ort was made to establish a linkage towards a broader range of applications. We achieved it by including in the conference program the workshops on bioinformatics, security engineering, and embedded systems, as well as tutorials and sessions related to other application areas.

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Data Mining in Bioinformatics


Free Download Data Mining in Bioinformatics By Jason T. L. Wang, Mohammed J. Zaki, Hannu T. T. Toivonen, Dennis Shasha (auth.), Xindong Wu, Lakhmi Jain, Jason T.L. Wang PhD, Mohammed J. Zaki PhD, Hannu T.T. Toivonen PhD, Dennis Shasha PhD (eds.)
2005 | 340 Pages | ISBN: 1852336714 | PDF | 3 MB
8. 1. 1 Protein Subcellular Location The life sciences have entered the post-genome era where the focus of biologicalresearchhasshiftedfromgenomesequencestoproteinfunctionality. Withwhole-genomedraftsofmouseandhumaninhand,scientistsareputting more and more e?ort into obtaining information about the entire proteome in a given cell type. The properties of a protein include its amino acid sequences, its expression levels under various developmental stages and in di?erenttissues,its3Dstructureandactivesites,itsfunctionalandstructural binding partners, and its subcellular location. Protein subcellular location is important for understanding protein function inside the cell. For example, the observation that the product of a gene is localized in mitochondria will support the hypothesis that this protein or gene is involved in energy metabolism. Proteins localized in the cytoskeleton are probably involved in intracellular tra?cking and support. The context of protein functionality is well represented by protein subcellular location. Proteins have various subcellular location patterns [250]. One major category of proteins is synthesized on free ribosomes in the cytoplasm. Soluble proteins remain in the cytoplasm after their synthesis and function as small factories catalyzing cellular metabolites. Other proteins that have a target signal in their sequences are directed to their target organelle (such as mitochondria) via posttranslational transport through the organelle membrane. Nuclear proteins are transferred through pores on the nuclear envelope to the nucleus and mostly function as regulators. The second major category of proteins is synthesized on endoplasmic reticulum(ER)-associated ribosomes and passes through the reticuloendothelial system, consisting of the ER and the Golgi apparatus.

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