Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions
English | 345 pages | Information Science Reference (October 15, 2009) | ISBN: 1605668168 | PDF | 8.7 MB
Data warehousing and mining technologies are key assets today in many areas of human knowledge, from scientific to commercial and industrial settings, and the last decades have seen tremendous advances in those fields. Evolving Application Domains of Data Warehousing and Mining: Trends and Solutions provides insight into the latest findings concerning data warehousing, data mining, and their applications in everyday human activities. Comprising a valuable resource for researchers, practitioners, and academicians, this advanced publication offers insight into recent field trends, techniques on how these technologies operate, and analysis of their effects.
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Scientific Data Mining: A Practical Perspective
Scientific Data Mining: A Practical Perspective
May 2009 | English | ISBN: 978-0-898716-75-7 | 305 Pages | PDF | 5.28 MB
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Web Mining
427 pages | March 22, 2005 | English | 1591404142 | 5.58 MB.
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Data Mining with Microsoft SQL Server 2008 (With Sample Files)
Data Mining with Microsoft SQL Server 2008 (With Sample Files)
Jame MacLennan, Zhohui Tang, Bogdan Crivat
2009 | English | ISBN-13: 978-0-470-27774-4 | 647 Pages | PDF | 27.2 MB
Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems.
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27.08.2009
Discovering Knowledge in Data: An Introduction to Data Mining
Wiley | November 18, 2004 | ISBN: 0471666572 | 240 pages | PDF | 6 MB
Learn Data Mining by doing data mining
Data mining can be revolutionary-but only when it's done right. The powerful black box data mining software now available can produce disastrously misleading results unless applied by a skilled and knowledgeable analyst. Discovering Knowledge in Data: An Introduction to Data Mining provides both the practical experience and the theoretical insight needed to reveal valuable information hidden in large data sets.
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Business Intelligence: Data Mining and Optimization for Decision Making
# size: 2.76mb
# Paperback: 436 pages
# Publisher: Wiley; 1 edition (May 11, 2009)
# Language: English
# ISBN-10: 0470511397
Business intelligence is a broad category of applications and technologies for gathering, providing access to, and analyzing data for the purpose of helping enterprise users make better business decisions. The term implies having a comprehensive knowledge of all factors that affect a business, such as customers, competitors, business partners, economic environment, and internal operations, therefore enabling optimal decisions to be made.
Business Intelligence provides readers with an introduction and practical guide to the mathematical models and analysis methodologies vital to business intelligence.
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Data Mining for Design and Marketing
Chapman & Hall/CRC(1-2009) | PDF | 336 pages | 1420070193 | 11.4Mb(rar)
Data Mining for Design and Marketing /by Yukio Ohsawa (Author), Katsutoshi Yada (Author) .shows how to design and integrate data mining tools into human thinking processes in order to make better business decisions, especially in designing and marketing products and systems.
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Handbook of Research on Text and Web Mining Technologies
964 pages | Jan 4 ,2008 |ISBN:1599049902 | PDF | 8 Mb
Product Description:
The massive daily overflow of electronic data to information seekers creates the need for better ways to digest and organize this information to make it understandable and useful. Text mining, a variation of data mining, extracts desired information from large, unstructured text collections stored in electronic forms.
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Applications of Data Mining in E-Business and Finance
ISBN: 1586038907 | 120 pages | August 15, 2008 | PDF | 5 Mb
The application of Data Mining (DM) technologies has shown an explosive growth in an increasing number of different areas of business, government and science. Two of the most important business areas are finance, in particular in banks and insurance companies, and e-business, such as web portals, e-commerce and ad management services. In spite of the close relationship between research and practice in Data Mining, it is not easy to find information on some of the most important issues involved in real world application of DM technology, from business and data understanding to evaluation and deployment
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Rock Slope Engineering: Civil and Mining
Rock Slope Engineering: Civil and Mining
Taylor & Francis | 2004 | English | 480 pages | PDF | 8 Mb | RS, Uploading
The stability of rock slopes is an important issue in both civil and mining engineering. On civil projects, rock cuts must be safe from rock falls and large-scale slope instability during both construction and operation. In open pit mining, where slope heights can be many hundreds of meters, the economics of the operation are closely related to the steepest stable slope angle that can be mined.
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