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Documents related to » coal mining technology


The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

COAL MINING TECHNOLOGY: such as gold or coal; however, the end product of data mining is not data, but knowledge. Data mining is used in a variety of situations, but here are the most common business scenarios in which it can be considered a potential solution: Data explosion . When the amount of data grows significantly, only specialized statistical models can help uncover important patterns; in this situation, simple reporting and multidimensional analysis may fail. Predicting behavior . There are situations in which
6/19/2009

Mining Diamonds, Finding Gold
A man leaves his farm in search of the richest diamond mine in the world only to die penniless when, all along, unknown to him, his own land was rich with the jewels he longed to find. That’s the fable at the heart of AXA Equitable’s ongoing successful marketing program called Mining Diamonds. And the customer intelligence behind the program? SAS. Read the full story now.

COAL MINING TECHNOLOGY: Mining Diamonds, Finding Gold Mining Diamonds, Finding Gold Source: SAS Document Type: Case Study Description: A man leaves his farm in search of the richest diamond mine in the world only to die penniless when, all along, unknown to him, his own land was rich with the jewels he longed to find. That’s the fable at the heart of AXA Equitable’s ongoing successful marketing program called Mining Diamonds. And the customer intelligence behind the program? SAS. Read the full story now. Mining Diamonds,
5/19/2011 10:46:00 AM

Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

COAL MINING TECHNOLOGY: succeed, a broader vendor coalition needs to be created, with active participation by vendors such as SAS and Oracle. If this effort is not widely adopted within 6 months, it will not succeed. The idea behind the specification is interesting, involving a data mining model (DMM) which, unlike a standard relational table, stores the patterns discovered by the data mining algorithm, instead of the raw data. This approach may take on greater importance in the marketplace, as data mining becomes more
3/28/2000

Data Mining: The Brains Behind eCRM
Data mining has emerged from obscure beginnings in artificial intelligence to become a viable and increasingly popular tool for putting data to work. Data mining is a set of techniques for automating the exploration of data and uncovering hidden truths.

COAL MINING TECHNOLOGY: Data Mining: The Brains Behind eCRM Data Mining: The Brains Behind eCRM Steve McVey - November 6, 2000 Read Comments S. McVey - November 6, 2000 Introduction While customer relationship management (CRM) gets a lot of attention, one important component is often overlooked - how a company effectively uses its existing customer data to improve customer loyalty while also identifying new potential buyers of products and services. Data mining has emerged from obscure beginnings in artificial intelligence to
11/6/2000

Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture based on the open standards and services built into the Windows« 2000 operating system, Microsoft SQL Server 7.0 and Office 2000.

COAL MINING TECHNOLOGY: microsoft data warehousing, olap software, data warehouse applications, power olap, data warehouse software, open source data warehousing, data warehouse vendors, data warehouse appliance, data warehouse education, data warehousing software, data warehouse products, data mining articles, data warehouse tools, data integration tools, bi strategy, data extraction, data warehouse training, retail business intelligence, data warehouse reporting, business intelligence tools, data warehouse requirements, data warehouse architect, data warehouse best practices, customer data integration, data .
12/1/1999

Contemporary Business Intelligence Tools
Tools under the business intelligence (BI) umbrella combine to convert data into information, and information into decisions for action. Dashboards and scorecards are two such tools. Though often confused, they have functional difference, especially in modern BI suites.

COAL MINING TECHNOLOGY: business intelligence, BI, enterprise resource planning, ERP, decision-making, regulatory compliance, supply chain management, customer resource management, online analytical processing, OLAP, data mining, digital cockpits, portals, dashboards, scorecards, key performance indicators, reporting, query.
6/28/2005

Eliminating Mining Industry Profitability Killers through a Common Decision Environment
Mining corporations and their operating units are under constant pressure to improve financial performance. Efforts to become financially healthy are hampered by the operational profitability killers embedded in traditional processes. Find out how technology-supported collaborative decision making drives key efficiencies at all stages of the asset lifecycle, from planning and construction through production and into decommissioning.

COAL MINING TECHNOLOGY: management information system,   coal mining Source: Wipro Technologies Learn more about Wipro Technologies Readers who downloaded this white paper also read these popular documents! Best Practices for ERP Implementation 3 Key Areas to Reduce Costs with Lean Techniques Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by Creating the Right Road Map for Your Talent Journey ERP Implementation Best Practices: Manufacturers and the SaaS Delivery Model Three Keys to
8/2/2011 3:58:00 PM

Case Study: Blue Mountain Resorts
In 2001, a leading North American resort owner purchased a 50 percent interest in Blue Mountain Resorts. To prepare for the demands of being part of a publicly held company, Blue Mountain began evaluating business intelligence (BI) and performance management (PM) systems. Find out how the company’s chosen solution helped improve reporting, avoid head-count additions, reduce labor costs, and decrease inventory levels.

COAL MINING TECHNOLOGY: business intelligence director, business intelligence services, business intelligence solution, business intelligence tool, olap reporting, business intelligence pdf, business intelligence reporting, business intelligence systems, cognos reporting, business intelligence training, cognos 8 business intelligence, metrics reporting, analytics business intelligence, bi reports, business intelligence analysis, business intelligence data mining, business intelligence definition, business intelligence suite, business intelligence application, business intelligence companies, business intelligence .
1/26/2010 11:02:00 AM

Expanding BI’s Role by Including Predictive Analytics
Companies already use business intelligence (BI) to help them make decisions. But now they’re discovering that they can make better decisions by coupling BI with a predictive analytics solution. Predictive analytics can help companies solve problems, achieve business goals, uncover patterns not easily identifiable through reports or dashboards, and share all that information with decision-makers. Find out how.

COAL MINING TECHNOLOGY: Expanding BI’s Role by Including Predictive Analytics Expanding BI’s Role by Including Predictive Analytics Source: SAP Document Type: White Paper Description: Companies already use business intelligence (BI) to help them make decisions. But now they’re discovering that they can make better decisions by coupling BI with a predictive analytics solution. Predictive analytics can help companies solve problems, achieve business goals, uncover patterns not easily identifiable through reports or
1/25/2010 1:17:00 PM

BioPassport Enterprise Server


COAL MINING TECHNOLOGY: The BioPassport Enterprise Server family of products offers:- modules available for customised usage as well as in an SDK for full integration into proprietary software- IdentAlink's specialists can do the integration- Everything is managed and controlled by one BioPassport Enterprise Server with modules for physical access control, network access control, Web access (such as private banking and paid web content), time and attendance, data security (encryption), secure applications (ERP, QRM, and database access), and single sign-onIdentAlink's technology provides centrally managed and secure network administration, as well as solutions for airline passenger management, visa systems, national ID systems, bank access and payment systems, healthcare, prison control, physical access control, and others.

RSA


COAL MINING TECHNOLOGY: After over 20 years of providing leadership to the security industry, RSA (NASDAQ: RSAS) became the security division of EMC in 2006.


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