The Mining World
Author :
Publisher :
Page : 378 pages
File Size : 38,53 MB
Release : 1905
Category : Mineral industries
ISBN :
Author :
Publisher :
Page : 378 pages
File Size : 38,53 MB
Release : 1905
Category : Mineral industries
ISBN :
Author :
Publisher :
Page : 270 pages
File Size : 16,27 MB
Release : 1914
Category : Mines and mineral resources
ISBN :
Author :
Publisher :
Page : 1120 pages
File Size : 14,27 MB
Release : 1907
Category : Mineral industries
ISBN :
Author :
Publisher :
Page : 394 pages
File Size : 47,15 MB
Release : 1901
Category : Mineral industries
ISBN :
Author :
Publisher :
Page : 98 pages
File Size : 50,9 MB
Release : 1910
Category : Metallurgy
ISBN :
Author : Eric C. Orlemann
Publisher :
Page : 172 pages
File Size : 10,43 MB
Release :
Category :
ISBN : 9781610605892
Author :
Publisher :
Page : 1044 pages
File Size : 44,37 MB
Release : 1915
Category : Mineral industries
ISBN :
Author :
Publisher :
Page : 914 pages
File Size : 36,84 MB
Release : 1904
Category : Mineral industries
ISBN :
Author : Jeremy Richards
Publisher : Springer Science & Business Media
Page : 519 pages
File Size : 16,34 MB
Release : 2009-09-18
Category : Science
ISBN : 3642011039
This is the first book of peer-reviewed, edited papers that examines the minerals industry in relation to sustainable development. The book takes a proactive, positivist, and solution-oriented approach, while not shying away from the fundamental problems.
Author : Masoud Mohammadian
Publisher : IGI Global
Page : 327 pages
File Size : 15,21 MB
Release : 2004-01-01
Category : Computers
ISBN : 1591402778
There is a large increase in the amount of information available on World Wide Web and also in number of online databases. This information abundance increases the complexity of locating relevant information. Such a complexity drives the need for improved and intelligent systems for search and information retrieval. Intelligent Agents are currently used to improve the search and retrieval information on World Wide Web. The use of existing search and retrieval engines with the addition of intelligent agents allows a more comprehensive search with a performance that can be measured. Intelligent Agents for Mining and Information Retrieval discusses the foundation as well as the pratical side of intelligent agents and their theory and applications for web data mining and information retrieval. The book can used for researchers at the undergraduate and post-graduate levels as well as a reference of the state-of-art for cutting edge researchers.