How Data Mining can help a business Data mining can help business strike gold when preparing products for a consumer. However, what is data mining? The University of California, Los Angeles (UCLA) defines data mining as “the process of finding correlations or patterns among dozens of fields in large relational databases” (N.D.). Oracle helps refine this definition, as this method “provides a way to get at the information buried in the data” (Oracle, N.D.). Oracle goes on to state how data mining
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CHAPTER ONE INTRODUCTION 1.1Background to the study Mining is the extraction of minerals and precious metals from the earth. These minerals and metals consist of manganese, tantalum, copper, tin, silver, diamonds and gold. Mining may be considered in two forms: large scale mining and small scale mining. Large scale mining generally employs large number of people and produces huge tonnes of gold. Examples of companies who engage in these are the Anglo-Gold Ashanti of Ghana, Newmont Ghana, Goldfields
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Reflective Journal on negotiation Part 1 In the past four weeks, my study group members and me had took part in three negotiation simulations. The first one is that we are Newcastle local car dealer and want to sell used car to Japanese international student ( other group ).In this negotiation simulation, we keep our price first, let other group know the market price of this kind of car and let them give the price in their mind, then base on this price we give a 25% higher price with 1 year volunteer
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........................................................ 4 Implementation of workforce planning ........................................................................................ 5 Application to the Western Australian Mining Industry .............................................................. 8 Workforce Planning Needed to Account for a Dynamic Environment ..................................... 10 Dealing with the challenges involved in workforce
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weaponry tools and ornaments. (http://en.wikipedia.org/wiki/Mining) Mining generally is the extraction of valuable mineral deposits or other geological materials from the ground or earth. These deposits could be gold, bauxite, manganese, precious metals, diamond, oil, coal, limestone and many others. Any material that cannot be grown through agricultural processes created artificially in a laboratory or factory is normally mined. Mining normally involves prospecting for the mineral and final exploration
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business intelligence * —Supported by data warehouses and data-mining tools RELATIONAL DATABASE MODEL: Database – collection of information that you organize and access according to the logical structure of the information Relational database – series of logically related two-dimensional tables or files for storing information * —Relation = table = file * —Most popular database model DATABASE- CREATED WITH LOGICAL STRUCTURES Data dictionary – contains the logical structure
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about how can data warehousing, data mining & predictive analytics improve a business. Would it be applicable to all types of business or a particular business only? Information Technology develops rapidly, because changes in these technologies are making the people’s lives easier. There’s a growing need for information in market and the competition of handling information. Some businesses needs to improve their ability and capability to handle big data or information. Data warehousing evolved
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support. BI combines architecture, databases or data warehouses, analytical tools and applications. BI’s major objective is to enable easy access to data and provide business mangers with the ability to conduct analysis. BI helps to transform data, to information, to decisions and finally to action. (8am – 9am) Management Support Systems – Extends information retrieval to the end user with queries and analysis capabilities of the XYZ Inc.’s data. Decision-making tools are available to all functions
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..................... 4 2. Business Intelligence (BI) Tools ......................................................................... 5 2.1 Online Analytical Processing (OLAP) ............................................................ 5 2.2Data Mining
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www.miningsecurityforum.com & MINING SECURITY CRISIS MANAGEMENT FORUM 2014 12-13 November Taj Cape Town South Africa Supported by: Gold Sponsor: Sponsors: Exhibitor Sponsor: Organised by: ABOUT THE SUMMIT MINING SECURITY & CRISIS MANAGEMENT FORUM 2014 | 12-13 NOVEMBER 2014 | CAPE TOWN The mining sector in the developing world is growing rapidly, but As global resources dwindle, companies are venturing into ever associated new risk and threat environment
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