Data mining methodologies have been widely adopted in various business domains, such as database marketing, credit scoring, fraud detection, to name only a few of the areas where data mining has become an indispensable tool for business success. Increasingly data mining methods are also being applied to industrial process optimization and control. While the general approach is similar regardles...

Bitcoin mining presents a significant economic incentive for efficient hashing and broadcast of data, both parameters stemming from the Proofs-of-Work used to advance the network. This incentive has led to the development of Bitcoin-specific application-specific integrated circuits (ASICs) and centralized mining pools, undermining the decentralized motivations behind Bitcoin’s design. In additi...

Presently in India, about 960 million tonnes of solid waste is being generated annually as by-products during industrial, mining, municipal, agricultural and other processes. Of this 350 million tonnes are organic wastes from agricultural sources; 290 million tonnes are inorganic waste of industrial and mining sectors and 4.5 million tonnes are hazardous in nature. Advances in solid waste manag...

A 20-year follow-up of a population sample of men aged 25-34 has been completed in Staveley, Derbyshire. The sample was based on a private census, with brief industrial histories, that enabled four groups to be established--"non-dusty," "pure coal-mining," "pure foundry," and "other and mixed." The similarity of the mortality rates of non-dusty, coal-mining, and foundry groups is satisfactory, ...

What do you do to start reading advances in data mining applications and theoretical aspects 10th industrial conference icdm 2010 berlin germany july 12 14 2010 proceedings lecture notes in computer science? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading ha...

Detecting anomalous behavior can be of critical importance in an industrial application context. While modern production sites feature sophisticated alarm management systems, they mostly react to single events. Due to the large number and various types of data sources a unified approach for anomaly detection is not always feasible. One prominent type of data are log entries of alarm messages. T...