Documents » data mining thesis 2009.
Abstract: Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver
data mining and predictive analysis. Learn more.
PubDate: 9/22/2009 4:27:00 PM
Abstract: Integrated enterprise resource planning software normalizes the reporting requirements for a mining company’s various departments. This article loosely shows the parallels between the operations in a mining company and those of a manufacturer whose product is sold on store shelves.
Abstract: 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.
Abstract: 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.
Abstract: 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.
Abstract: Mine evaluation studies, including those that support mine water management or environmental compliance, are rife with challenges. The biggest: to quantitatively evaluate alternative approaches for completing projects, and to identify and manage associated risks. Models must be accurate, and yet still take uncertainty into account. Learn how a simulation tool can you help forecast the behavior of complex mining systems.
Abstract: Find out in the aberdeen report, erp in manufacturing
2009.
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Abstract: Erp shootout. september 24 to 25,
2009 baltimore, maryland the erp vendor shootout, hosted by the var community and moderated by technology evaluat...
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Abstract: That's why the white paper new web threats in
2009 can be a real lifesaver.
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Abstract: In the white paper top 5 security tips for
2009, discover what smaller companies like yours can do to protect themselves from security threats that...
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Abstract: In a survey on upcoming trends in employee management, the Learning Review asked six experts in six major industry domains one simple question: what do you think the main trends in [domain] will be for 2008 and 2009? Here are their answers.
Abstract: Companies can get the latest on supply chain management trends—from inventory management, forecasting, and sales and operations planning—at the annual APICS Conference and Expo’s seminars and presentations. A summary of the 2009 expo explains what you might have missed.
Abstract: Business performance management (BPM) is a set of processes, frameworks, and systems for planning, measuring, communicating, and monitoring business results. In July 2009, Forrester conducted evaluations of 10 business performance solutions (BPS) vendors: Board International, Clarity Systems, Host Analytics, IBM Cognos, Infor, Longview Solutions, Oracle, SAP, SAS Institute, and Tagetik. Find out what they learned.
Abstract: Pressures to reduce costs still outweigh all other business drivers that have an impact on enterprise resource planning (ERP) in 2009. ERP is more than a necessary infrastructure; it’s also a strategic weapon in streamlining and accelerating business processes—while providing visibility to those processes. Discover more about the overall value ERP brings to manufacturing, with Aberdeen’s annual assessment of ERP usage.
Abstract: In February 2009, Quocirca interviewed 800 individuals across eight geographies about their views on, and usage of, enterprise performance management (EPM) tools and processes. The research was repeated in December 2009 and there was a clear improvement in understanding of EPM basics. However, much remains to be done. The overall increase in the EPM sub-indices does not mean there is room for complacency. Find out why.
Abstract: Software vendors and users often view advanced data visualization and dashboard capabilities as the “sizzle” that helps sell the product. This over-simplification misses the key point that ADV delivers the “steak” (i.e., the relevant information) users need to make accurate assessments that optimize business results. Discover how ADV and dashboards can help you keep your company focused on its core mission.
Abstract: Achieving operational excellence is fundamental for Yanacocha, the largest gold producer in South America. In 1999, Yanacocha decided it needed an online system linking its principal management areas (operations, maintenance, logistics, finance, and human resources), in order to optimize efficiency in administering its assets. It turned to Mincom Ellipse as its corporate management system, allowing standardization of its operations worldwide.
Abstract: SAS Institute has applied its data mining technology to the Internet. The company released products that will help companies analyze and predict the behavior of Web surfers. The target customer is one with large volumes of enterprise data that come from a variety of sources.
Abstract: As one of the world’s leading manufacturers of construction and mining equipment, Komatsu has enjoyed significant growth. In fact, 2004 marked the best business performance in the company’s history. Now the company is focused on accelerating product development by making better, faster decisions throughout the product lifecycle. The solution: PTC’s ProductView.